JP3744255B2 - Access analysis method and apparatus, and storage medium storing access analysis program - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to an access analysis method and apparatus, and a storage medium storing an access analysis program, and in particular, between a client terminal and a web server when requesting web page information from a client terminal to a web server via the Internet. The present invention relates to an access analysis method and apparatus for monitoring transmission / reception data, sequentially recording information on client terminals and their access status obtained from the transmission / reception data, and analyzing the recorded information, and a storage medium storing an access analysis program.
[0002]
[Prior art]
With the recent spread of the Internet, various terminals such as personal computers can be connected to networks all over the world, and all kinds of information from all over the world can be obtained from the terminals at hand.
On the other hand, various companies / individuals have their own homepages, which are published on the Internet, so that individual information is actively transmitted.
[0003]
When such a homepage is established on the Internet, basically only information is transmitted from the homepage, and it is difficult to obtain a response from the reader who is reading the homepage, resulting in one-way information exchange. In many cases, it is difficult for website owners to obtain information such as what web pages in the website are popular, who is watching them, and what time they are visiting. .
[0004]
In order to solve such a problem, for example, the access status to the web page is set by setting a log file of the access status to the web server recorded by the web server or a program that logs the web page. There is a method of recording and analyzing it by performing statistical processing.
Conventionally, in such a method, the total number of accesses to the web page is counted, and the result is summed up in a unit predetermined by the administrator (such as date and time) or a unit designated by the user each time. Display / notify.
[0005]
[Problems to be solved by the invention]
However, when the number of accesses is enormous, the number of daily aggregations becomes enormous, and when access is rare, the analysis is such that the unit is too fine for the aggregation in seconds and grasps the overall trend. In such a case, the user to be analyzed finds the optimum unit by hand and outputs the result desired by the user. If the number of accesses is unknown, re-analyze it many times. There is a problem that it takes time and effort.
[0006]
In addition, when recording an access log of a server that is frequently accessed, it is necessary to record the access log frequently, so a storage device such as a disk for recording the access log must be accessed frequently. A large load is likely to be applied to the storage device, and the access log becomes enormous, which may overflow the capacity of the storage device.
[0007]
In addition, when analyzing the access of a server with such frequent access, if the detailed analysis is performed, the analysis processing becomes complicated, so there is a risk that the server will be loaded. Even if the analysis result is enormous, if the analysis result is enormous, it may affect the services that the server normally performs by occupying the bandwidth of the network.
[0008]
In addition, depending on the terminal of the user who uses access analysis, a graph display with a relatively rough resolution is possible if a graphic display is possible, for example, when a graphic display is used by a device that displays the analysis result. If it is desired and the display device can display only characters, the result should be provided by numerical values and characters. When printing on paper using a printer, graph printing at the highest possible resolution is desirable for monochrome printers, and color printers are suitable for displaying results that are easier to understand using color printers.
[0009]
The present invention has been made in view of the above points, and provides an access analysis result according to the access frequency of the web server in view of the constraints on the server and client as described above or the network connecting them. It is an object of the present invention to provide an access analysis method and apparatus capable of determining the status of a server or a client terminal and providing an optimal analysis result, and a storage medium storing an access analysis program.
[0010]
A further object of the present invention is not to aggregate access in a fixed unit as in the prior art, but to aggregate by changing the unit according to the access frequency, for a web server with frequent access frequency changes, An object of the present invention is to provide an access analysis method and apparatus capable of providing a useful analysis result with a small load on a server, its peripheral devices and networks, and a storage medium storing an access analysis program.
[0011]
[Means for Solving the Problems]
  FIG. 1 is a diagram for explaining the principle of the present invention.
  Main departureTomorrowIn an access analysis method for statistically analyzing the situation when a client terminal is connected to a web server via the Internet and requests web page information,
  Monitors data sent and received between the client terminal and the web serverData monitoring step (step 1),
  Based on the monitoring result, the transmission / reception status information including at least the status of the client terminal, the access status, and the request destination information is recorded in the storage means.Data recording step (step 2),
  When an analysis request is issued from the analysis request source client terminal (step 3), the information stored in the storage means is acquired, and the access analysis of the client terminal to the web server is performed.Access analysis step (step 4) and,
  Output the access analysis result to the client terminal of the analysis request source via the web serverOutput step (step 5),
And
  In the access analysis step (step 4),
  From the information stored in the storage means, the client terminal performs an access frequency step for calculating an access frequency for requesting a web page from the web server,
  In the access frequency step,
  A step of determining the granularity used for statistical processing for analysis is performed according to the amount of access requests to the web page from the client terminal to the web server and the interval between the access requests.
[0012]
  Main departureTomorrow,In an access analysis method for statistically analyzing the situation when a client terminal is connected to a web server via the Internet and requests web page information,
  A data monitoring step for monitoring transmission / reception data between the client terminal and the web server;,
  A data recording step for recording transmission / reception status information including at least the status of the client terminal, the access status, and the request destination information in the storage means based on the monitoring result
  When an analysis request is issued from the analysis request source client terminal, an access analysis step of acquiring information stored in the storage means and analyzing the access of the client terminal to the web server;
  An output step of outputting the access analysis result to the client terminal of the analysis request source via the web server;
And
  In the access analysis step,
  Investigate the processing load of the device that performs access analysis or the web server,
  Depending on the degree of processing load, analysis processing is performed to the extent that normal services are not affected.
[0015]
  Figure2 is a block diagram showing the principle of the present invention.
  Main departureTomorrowIn the system in which a plurality of client terminals 2 and the web server 1 are connected via the Internet 3, the access analysis apparatus statistically analyzes the situation when the client terminal 1 requests web page information,
  Data monitoring means 110 for monitoring transmission / reception data between the client terminal 2A and the web server 1,
  A data recording unit 120 that records transmission / reception state information including information on the client terminal 2A, access status, and request destination information in the storage unit 130 based on the monitoring result;
  When the analysis request is issued from the analysis request source client terminal 2B, the information stored in the storage unit 120 is acquired, the access status of the client terminal 2A to the web server 1, the web server 1, and the client terminal 2A or the status determination means 150 for determining the status of the Internet 3 and setting conditions for analysis;
  Storage means based on the condition obtained by the situation determination means 150ofAnalyze the information,a statistical processing means 160 for outputting to the client terminal 2B as the analysis request source via the web server;,Have
[0016]
  Main departureTomorrowThe situation determination unit 150 includes an access frequency calculation unit that calculates an access frequency at which the client terminal 2A requests a web page from the web server 1 from information stored in the storage unit 130.
  Main departureTomorrowThe access frequency calculation means includes a granularity determination means for determining the granularity used by the statistical processing means in accordance with the amount of access requests to the web page from the client terminal 2A to the web server 1 and the interval between the access requests.
[0017]
  Main departureTomorrowThe status determination unit 150 includes a terminal determination unit that determines the status of the client terminal 2B that is the analysis request source. The statistical processing unit 160 uses the screen of the display device or the printing device of the client terminal 2B based on the determination of the terminal determination unit. A means for outputting an access analysis result is included depending on the size, resolution, color / monochrome output availability, or the output form of the analysis result desired by the user.
[0018]
  Main departureTomorrowThe situation determination means 150 includes a bandwidth investigation means for investigating the bandwidth of the network 3 between the web server 1 and the client terminal 2A that requested the web page access analysis, and the statistical processing means 160 is based on the investigation result of the bandwidth investigation means. And means for outputting an access analysis result to the client terminal 2B of the analysis request source via the web server 1 in accordance with the degree of network congestion and the speed of the network 3.
[0019]
  Main departureTomorrowIn the situation determination means 150, the apparatus that performs the access analysis, or the load investigation means that investigates the processing load of the web server, and the analysis processing that does not affect the normal service according to the degree of the processing load. Means to do.
  Main departureTomorrowStatistical analysis of the situation when a client terminal requests web page information in a system in which a plurality of client terminals and a web server are connected via the InternetRuaA storage medium storing an access analysis program,
  On the computer,
  Data monitoring for monitoring data sent and received between client terminals and web serversStepWhen,
  Data record for storing transmission / reception status information including client terminal information, access status, and request destination information in the storage means based on the monitoring resultStepWhen,
  When the analysis request is issued from the analysis request source client terminal, the information stored in the storage means is acquired, and the access status of the client terminal to the web server and the information on the web server, the client terminal, or the Internet are obtained. Situation judgment to determine and set conditions for analysis processingStepWhen,
  Situation judgmentStepBased on the conditions obtained in step 1, statistical processing to analyze the information in the storage means and output to the client terminal of the analysis request source via the web serverStep and execute.
[0020]
  Main departureTomorrowSituation judgmentStepAccess frequency analysis in which the client terminal calculates the access frequency for requesting a web page from the web server from the information stored in the storage meansStepWhen,
  Granularity determination that determines the granularity used for statistical processing for analysis according to the amount of access requests to the web page from the client terminal to the web server and the interval between the access requestsStepWhen,
  Terminal determination that determines the status of the client terminal that requested the analysisStepWhen,
  Bandwidth investigation to investigate the network bandwidth between the web server and the client terminal of the analysis request sourceStepWhen,
  At least one of the steps of investigating the processing load of the device that performs the access analysis or the web server, and performing analysis processing that does not affect the normal service according to the degree of the processing loadDo step.
[0021]
  Main departureTomorrow, Statistical processingStepIn this case, the screen size and resolution of the display device or printing device of the client terminal, whether color / monochrome output is possible, or the output form of the analysis result desired by the user, based on the situation regarding the client terminal of the web page access analysis request source Output access analysis result according toStepWhen,
  The access analysis result is output to the client terminal of the analysis request source via the web server in accordance with the degree of congestion of the network based on the network band survey result and the speed of the network.StepAt least one ofDo step.
[0022]
As described above, according to the present invention, it is possible to provide useful analysis results to the access analyst while reducing the load applied to the web server, the client terminal, and the network.
In the situation determination process, by calculating the access frequency from the client terminal to the web server, it is possible to automatically determine time intervals such as hours / minutes / seconds used for statistical processing.
[0023]
In addition, by adding an analysis request source client terminal survey that investigates information related to the display device / output device of the client terminal that requested access analysis at the time of situation determination, the type of display device or printer of the client terminal, for example, a color screen It is possible to automatically select an analysis result suitable for an output medium such as monochrome printing or text output and send it to the client terminal.
[0024]
Also, by performing network bandwidth monitoring to investigate the network status between the web server and the client terminal at the time of situation determination, the analysis result is more detailed if the network flow rate is large according to the degree of network congestion and the network speed. If the flow rate is small, the analysis result can be automatically changed, such as keeping the analysis result roughly.
[0025]
Furthermore, by performing server load monitoring to see the load applied to the web server at the time of situation determination, the access analysis automatically adjusts the load applied to the web server, and the service normally performed by the web server is not affected. It is possible to perform access analysis at a certain level.
[0026]
DETAILED DESCRIPTION OF THE INVENTION
FIG. 3 shows the configuration of the access analysis system of the present invention.
The access analysis system shown in FIG. 1 includes a web server 1, a client terminal 2, the Internet 3, and an access analysis device 100.
The web server 1 is a server that receives information from the client terminal 2 and outputs information on an arbitrary web page.
[0027]
The client terminal 2 requests the desired web page information from the web server 1.
The Internet 3 is a communication path for exchanging information between the client terminal 2 and the web server 1.
The access analysis apparatus 100 records the access status sequentially and performs statistical analysis in a form in which the client terminal 2 requests information from the web server 1 by some means.
[0028]
Below, the case where the client terminal 2 analyzes the access situation in the case of requesting a web page from the web server 1 via the Internet 3 will be described.
The access analysis apparatus 100 includes a data monitoring unit 110, a database recording unit 120, an access database 130, a database reading unit 140, a situation determination unit 150, and a statistical processing unit 160.
[0029]
The data monitoring unit 110 monitors information exchange between the client terminal 2 and the web server 1.
The database recording unit 120 records the information of the client terminal 2 and the status of the access request of the web server 1.
The access database 130 stores information on the client terminal 2 and the status of access requests to the web server 1.
[0030]
The database reading unit 140 reads data in a range requested by the user from the access database 130.
The status determination unit 150 determines various status information obtained from the database reading unit 140.
The statistical processing unit 160 makes various determinations based on the data read from the access database 130 by the situation determination unit 150, and adds statistical processing based on the set conditions.
[0031]
Next, the operation of the access analysis apparatus having the above configuration will be described.
FIG. 4 is a flowchart showing the operation of the access analysis apparatus of the present invention.
First, when a web page request is generated from the client terminal 2 to the web server 1 (step 101), the database monitoring unit 110 determines the content of the request (step 102), and when the request is a normal web page request. The data monitoring unit 110 extracts the information of the client terminal 2, the access date and time, the requested page address, and the like (steps 103 and 104).
[0032]
The database recording unit 120 checks the capacity of the access database 130 that records the access log (step 105).
Next, the database recording unit 120 sequentially records the information obtained in steps 103 and 104 in the access database 130 (step 106).
Next, the web server 1 transmits information on the requested web page to the client terminal 2 (step 107), and waits until there is a request again.
[0033]
If the request from the client terminal 2 is “access analysis” in step 102, an analysis request from the access analysis requester and its contents are received (step 108).
Next, the database reading unit 140 sets a range (period or the like) designated by the analysis request in the access database 130 (step 109), and retrieves access information within the requested range from the access database 130 (step 110).
[0034]
Next, the situation determination unit 150 determines an optimal analysis condition based on the information obtained from the database reading unit 140 (step 111).
Next, according to the condition determined by the situation determination unit 150, the statistical processing unit 160 performs statistical processing on the access information recorded in the access database 130, and converts it into a format that the client terminal 2 can display and output (step). 112).
[0035]
Next, the web server 1 transmits the analysis result output by the statistical processing unit 9 to the client terminal 2, and the client terminal 2 displays or outputs the received analysis result (step 107).
[0036]
【Example】
Embodiments of the present invention will be described below with reference to the drawings.
[First embodiment]
This embodiment will be described with reference to FIGS. 3 and 4 described above.
In FIG. 4, first, when a web page request is generated from the client terminal 2 to the web server 1 (step 101), the data monitoring unit 110 determines the content of the request (step 102). In the case of “request”, the data monitoring unit 110 extracts the information of the client terminal 2, the access date and time, the request destination page address, and the like (steps 103 and 104).
[0037]
FIG. 5 is an example of data transmitted from the client terminal according to the first embodiment of this invention. The data shown in the figure is an example when the client terminal 2 makes a web page request to the web server 1.
FIG. 6 is an example of the response data of the web server according to the first embodiment of this invention. The data shown in the figure is data that responds to the client terminal 2 when the web server 1 receives the data shown in FIG. 5 from the client terminal 2.
[0038]
FIG. 7 is an example of information that can be recorded in the database according to the first embodiment of this invention. The information shown in the figure is an example of excerpting information that can be recorded in the access database 130 from the information exchange between the client terminal 2 and the web server 1 of the information shown in FIGS.
When extracting desired information from the exchange of information between the client terminal 2 and the web server 1, information regarding the client terminal 2 is returned from data transmitted from the client terminal 2, and information regarding the access status is returned by the web server 1. Each can be extracted from the data.
[0039]
For example, as information regarding the client terminal 2, the address of the web page requested by the client terminal 2 is known by the “GET” message in the first line in FIG. 5, and the type of the client terminal 2 is identified by “User-Agent” in the second line. In the third line “Host”, the address of the client terminal 2 is known, and in the fourth line “Reference”, the client terminal 2 knows from which web page the link has been followed to request a desired web page.
[0040]
In addition, as information on the status of access, in FIG. 6, “Date” on the second line indicates the access date and time, “Server” on the third line indicates the type of the web server 1, and “Last-modified” on the fourth line. ”Indicates the creation date and time of the request destination web page,“ Content-type ”on the fifth line indicates the type of the request destination web page, and“ Content-length ”on the sixth line indicates the size of the request destination web page. .
[0041]
In the access database 130 shown in FIG. 7, information of access date / time, client terminal address, client terminal used browser, client terminal type, and link source address are separated from each other by “,” in order from the left. Are listed from the top in the order in which they were accessed.
Next, the data recording unit 120 checks the capacity of the access database 130 that records the access log (step 105).
[0042]
Next, the database recording unit 120 sequentially records the information obtained in the above step 103 and step 104 in the access database 130 (step 106). At this time, the contents to be recorded are increased or decreased according to the remaining capacity of the access database 130 checked in steps 104 and 105. For example, if the remaining capacity is small, only the access date, access address and client terminal address are recorded. If the remaining capacity is abundant, the access date / time / hour / minute / second, client terminal address and browser used・ Record as much information as possible about OS, etc. Further, if the remaining capacity is very small and information cannot be newly recorded, the past information in the access database 130 is deleted as appropriate, or, for example, the minutes / Processing for increasing the remaining capacity of the access database 130 may be performed by cutting away the second information.
[0043]
Next, the web server 1 transmits information on the requested web page to the client terminal 2 (step 107), and waits until there is a request again.
In step 102, if the data monitoring unit 110 determines that the request from the client terminal 2 is “access analysis”, it receives an analysis request from the access analysis requester and its contents (step 108). For example, the web server 1 receives from the client terminal 2 a process of “performing statistical analysis regarding access to [http://www.ntt.co.jp/index.html] during the 10th of February”. As a receiving method, for example, a CGI program or form input is used.
[0044]
Next, the database reading device 140 sets a range (period or the like) designated by the analysis request in the access database 130 (step 109), and retrieves access information within the requested range from the access database 130 (step 110).
Next, the situation determination unit 150 determines an optimal analysis condition based on the information obtained from the database reading unit 140 (step 111).
[0045]
Next, according to the condition determined by the situation determination unit 150, the statistical processing unit 160 performs statistical processing on the access information recorded in the access database 130, and converts it into a format that the client terminal 2 can display and output (step). 112).
Next, the web server 1 transmits the analysis result output by the statistical processing unit 9 to the client terminal 2, and the client terminal 2 displays or outputs the received analysis result (step 107).
[0046]
That is, in this embodiment, the statistical processing in the access analysis is not set uniquely by the web page administrator, but the optimum value is automatically determined by determining the situation regarding the client server 2 that requests the web server and the web page analysis. Therefore, it is possible to obtain a flexible and effective statistical result in the situation related to the analysis process under various constraint conditions.
[0047]
[Second Embodiment]
FIG. 8 shows the configuration of the access analysis system according to the second embodiment of the present invention. In the figure, the same components as those in FIG.
The configuration illustrated in FIG. 8 is a configuration in which an access frequency calculation unit 170 is added to the access analysis apparatus 100.
[0048]
The access frequency calculation unit 170 calculates the access frequency from the data read by the database reading unit 140 and determines the granularity necessary for statistical processing.
Accordingly, the situation determination unit 150 determines various situation information obtained from the database reading unit 140 and the access frequency calculation unit 170.
Next, the operation in the above configuration will be described.
[0049]
FIG. 9 is a flowchart showing the operation of the access analysis apparatus according to the second exemplary embodiment of the present invention.
In the flowchart shown in the figure, first, when a web page request is generated from the client terminal 2 to the web server 1 (step 201), the data monitoring unit 110 determines the content of the request (step 202), and the normal web If the request is a page request, the data monitoring unit 110 extracts the information of the client terminal 2, the access date and time, the request destination page address, and the like (step 203).
[0050]
The data transmitted from the client terminal 2 when the client terminal 2 makes a web page request to the web server 1 is the same as that in FIG. 5 of the first embodiment described above. Data received in response to the client terminal 2 when the data shown in FIG. 5 is received is the same as in FIG. Also, the data recorded in the access database 130 from the exchange of information shown in FIGS. 5 and 6 between the web server 1 and the client terminal 2 is the same as in FIG. 7 of the first embodiment. The description about is omitted.
[0051]
Next, the database recording unit 120 checks the capacity of the access database 130 that records the access log (step 205).
Next, the database recording unit 120 sequentially records the information obtained in steps 203 and 204 in the access database 130 (step 206). At this time, the contents to be recorded are increased or decreased according to the remaining capacity of the access database 130 checked in steps 204 and 205. Since the increase / decrease method is the same as that of the first embodiment, detailed description thereof is omitted.
[0052]
Next, the web server 1 transmits information of the requested web page to the client terminal 2 (step 207), and waits until there is a request again.
In step 202, when the data monitoring unit 110 determines that the request from the client terminal 2 is “access analysis”, it receives an analysis request from the access analyst and its contents (step 208). Since the processing of the analysis request is the same as that in the first embodiment, detailed description thereof is omitted.
[0053]
Next, the database reading unit 140 sets a range (period or the like) designated by the analysis request in the access database 130 (step 209), and retrieves access information within the requested range from the access database 130 (step 210).
Next, the access frequency calculation unit 170 investigates the access frequency within the range acquired from the access database 130 (step 211). As the calculation of the access frequency, for example, the total number of accesses during one day may be used and an average of them may be used. In this embodiment, the number of accesses per day is considered as the access frequency.
[0054]
Next, the situation determination unit 150 determines an optimal analysis condition based on the information obtained from the access frequency calculation unit 170 (step 212).
For example, regarding the access frequency, the granularity may be determined from the access frequency with reference to an access frequency-granularity correspondence table as shown in FIG. FIG. 10 shows an example of a correspondence table in which the access frequency according to the second embodiment of the present invention corresponds to the granularity of statistical processing to be used at that time. This access frequency-granularity correspondence table is a table in which the access frequency corresponds to the granularity of statistical processing to be used at that time. In this embodiment, in the correspondence table shown in FIG. 10, if the number of accesses per day is less than 1, the granularity is obtained for every day, and if the number of accesses per day is 1 or more and less than 50, AM / PM If the number of accesses per day is 50 or more and less than 500, the granularity per hour is set. If the number of accesses per day is 500 or more, the granularity is calculated for every minute.
[0055]
Next, the statistical processing unit 160 performs statistical processing on the access information recorded in the access database 130 in accordance with the optimal analysis conditions determined by the situation determination unit 150. For example, the condition is such that the granularity of statistical processing is determined from the access frequency. The result of the statistical processing is converted into a format that can be displayed and output by the client terminal 2 (step 213).
[0056]
Next, the web server 1 transmits the analysis result output by the statistical processing unit 160 to the client terminal 2, and the client terminal 2 displays or outputs the received analysis result (step 207).
That is, in this embodiment, the statistical processing in the access analysis is not set uniquely by the web page administrator, but is automatically set to an optimal value according to the access frequency to the web page recorded in the access database 130. Therefore, it is possible to obtain a flexible and effective statistical result in the situation related to the analysis processing under various constraints.
[0057]
[Third embodiment]
FIG. 11 shows the configuration of an access analysis system according to the third embodiment of the present invention. In the figure, the same components as those in FIG. 3 are denoted by the same reference numerals, and the description thereof is omitted.
The configuration shown in FIG. 11 is a configuration in which an analysis request source client terminal investigation unit 180 is added to the access analysis apparatus 100 shown in FIG.
[0058]
The analysis request source client terminal investigation unit 180 investigates information related to the client terminal 2 that has issued the analysis request, particularly the display device of the client terminal 2.
As a result, the situation determination unit 150 determines the various situation information obtained from the database reading unit 140 and the analysis request source client terminal investigation unit 180.
[0059]
Next, the operation in the above configuration will be described.
FIG. 12 is a flowchart showing the operation of the access analysis system of the third exemplary embodiment of the present invention.
First, when a request for a web page is generated from the client terminal 2 to the web server 1 (step 301), the data monitoring unit 110 determines the content of the request (step 302), which is “ordinary web page request”. In this case, the data monitoring unit 110 extracts the information of the client terminal 2, the access date and time, the requested page address, and the like (steps 303 and 304).
[0060]
The data transmitted from the client terminal 2 when the client terminal 2 makes a web page request to the web server 1 is the same as in FIG. 5 of the first embodiment, and the web server 1 is the client terminal 2. When the data shown in FIG. 5 is received, the data responding to the client terminal 2 is the same as in FIG. Also, the data recorded in the access database 130 from the exchange of information shown in FIGS. 5 and 6 between the web server 1 and the client terminal 2 is the same as in FIG. 7 of the first embodiment. The description regarding is omitted.
[0061]
Next, the database recording unit 120 checks the capacity of the access database 130 that records the access log (step 305).
Next, the database recording unit 120 sequentially records the information obtained in step 303 and step 304 in the access database 130 (step 306). As a result of checking the remaining capacity of the access database 130, the method of increasing / decreasing the contents to be recorded is the same as in the first embodiment, and the description thereof is omitted.
[0062]
Next, the web server 1 transmits information on the requested web page to the client terminal 2 (step 307), and waits until there is a request again.
If the request from the client terminal 2 is “access analysis” in step 302, the analysis request from the web page manager and its contents are received (step 308).
[0063]
Next, the analysis request source client terminal investigation unit 180 investigates information of the client terminal 2 (step 309). Here, information related to the browser used by the client terminal 2 or information related to the display device is acquired.
For example, the information indicating which WWW browser the client terminal 2 is using is included in the information sent when the client terminal 2 communicates with the web server 1 using the http protocol. In FIG. 4, the “User-Agent” line corresponds, and the WWW browser used by the client terminal 2 in this case is “Mozilla / 2.02 Gold”.
[0064]
Further, for example, information on what kind of computer the client terminal 2 is using is the same as in the survey of the WWW browser used by the client 2, in FIG. 6, the “User-Agent” line is It can be seen that the computer of the client terminal 2 in this case uses “WinNT”.
[0065]
For example, for information on what resolution and what size the display device of the client terminal 2 is using, a script program (for example, JavaScript) embedded in a web page is used for the client terminal through the http protocol. 2 is taken in and executed on the client terminal 2, the web server 1 can be notified.
[0066]
Further, for example, it is possible to designate a desired output form on the client terminal 2 side regardless of the display device of the client terminal 2 that has issued the analysis request. By preparing a form that allows the client terminal 2 to input the desired analysis result form on the web page of the analysis request and sending it to the web server 1, for example, using a WWW browser on a normal display However, there are cases where you want to output the analysis results to a color printer, or you want to save the analysis results on a mobile device with a relatively small screen size, and want to obtain the analysis results with text-only information. .
[0067]
Next, the database reading unit 140 sets a range (period or the like) designated by the analysis request in the access database 130 (step 310), and retrieves access information within the requested range from the access database 130 (step 311).
Next, the situation determination unit 150 determines optimal analysis conditions based on the information obtained from the database reading unit 140 and the analysis request source client device investigation unit 180 (step 312).
[0068]
For example, with regard to the client terminal of the analysis request source, when using a graphic display, if graphic display is possible, graph display with a relatively rough resolution is desired, and only characters such as mobile terminals can be displayed. If it is a small display device, the result should be provided with numerical values and letters. When printing on paper using a printer, graph printing at the highest possible resolution is desirable for monochrome printers, and color printers may be suitable for displaying results that are easier to understand. .
[0069]
Next, the statistical processing unit 160 performs statistical processing on the access information recorded in the access database 130 in accordance with the optimal analysis conditions determined by the situation determination unit 150. For example, information on a display device or an output device provided in the client terminal 2 is acquired, and when the client terminal 2 displays or outputs, an analysis result suitable for the display device or the output device is generated. It is a condition. The result of the statistical processing is converted into a format that can be displayed and output by the client terminal 2 (step 313).
[0070]
Next, the web server 1 transmits the analysis result output by the statistical processing unit 160 to the client terminal 2, and the client terminal 2 displays or outputs the received analysis result (step 307).
That is, in this embodiment, the statistical processing in the access analysis is not uniquely set by the web page administrator, but is automatically set to an optimum one according to the situation regarding the display device of the client terminal. Based on the above, it is possible to obtain a statistical result that is flexible and effective in the situation related to the analysis processing.
[0071]
[Fourth embodiment]
FIG. 13 shows the configuration of an access analysis system according to the fourth embodiment of the present invention. In the figure, the same components as those in FIG. 3 are denoted by the same reference numerals, and the description thereof is omitted.
The access analysis system shown in FIG. 13 has a configuration in which a network bandwidth examining unit 190 is added to the access analysis apparatus 100 shown in FIG.
[0072]
The network bandwidth examining unit 190 reads the thickness of the bandwidth of the network 3 between the client terminal 2 that has read the analysis request and the web server 1. As a result, the situation determination unit 150 determines the various situation information obtained from the database reading unit 140 and the network bandwidth examining unit 190.
Next, the operation of the access analysis system having the above configuration will be described.
[0073]
FIG. 14 is a flowchart showing the operation of the access analysis system of the fourth exemplary embodiment of the present invention.
First, when a request for a web page is generated from the client terminal 2 to the web server 1 (step 401), the data monitoring unit 110 determines the content of the request (step 402), which is “ordinary web page request”. In this case, the data monitoring unit 110 extracts the information of the client 2, the access date and time, the request destination page address, and the like (steps 403 and 404).
[0074]
The data transmitted from the client terminal 2 when the client terminal 2 makes a web page request to the web server 1 is the same as in FIG. 5 of the first embodiment, and the web server 1 is the client terminal 2. When the data shown in FIG. 5 is received, the data responding to the client terminal 2 is the same as in FIG. Also, the data recorded in the access database 130 from the exchange of information shown in FIGS. 5 and 6 between the web server 1 and the client terminal 2 is the same as in FIG. 7 of the first embodiment. The description about is omitted.
[0075]
Next, the database recording unit 120 checks the capacity of the access database 130 that records the access log (step 405).
Next, the database recording unit 120 sequentially records the information obtained in Step 403 and Step 404 in the access database 130 (Step 406). As a result of checking the remaining capacity of the access database 130, the method of increasing / decreasing the contents to be recorded is the same as in the first embodiment, and the description thereof is omitted.
[0076]
Next, the web server 1 transmits information of the requested web page to the client terminal 2 (step 407), and waits until there is a request again.
If the request from the client terminal 2 is “access analysis” at step 402, an analysis request from the web page manager and its contents are received (step 408).
[0077]
Next, the network bandwidth examining unit 190 investigates the network 3 between the requesting client terminal 2 and the web server 1 and looks at its bandwidth (step 409).
For example, by issuing a dummy access request to the client terminal 2 from the web server 1 side, measuring the time until a response is returned from the client terminal 2 to this request, and continuously performing this, Find the average reaction time. Actually, when there is an access analysis request, a dummy request similar to the above may be issued to the client terminal 2 to obtain the reaction time, and the difference from the average may be used.
[0078]
Further, for example, the data monitoring unit 110 that constantly monitors the data transmitted and received by the web server 1 measures the amount of data that flows in a certain time unit, for example, 1 second, 1 minute, and 1 hour. By recording, the maximum flow rate and the average flow rate of data transmitted and received by the web server 1 may be calculated, and the data flow rate when an access request is made may be compared with the maximum flow rate and the average flow rate. .
[0079]
Next, the database reading unit 140 sets the range (time limit, etc.) designated by the analysis request in the access database 130 (step 410), and retrieves access information within the requested range from the access database 130 (step 411).
Next, the situation determination unit 150 determines optimal analysis conditions based on the information obtained from the database reading unit 140 and the network bandwidth survey unit 190 (step 412).
[0080]
For example, regarding the network bandwidth, if the flow rate of transmission / reception data of the web server 1 is faster / wider than usual, large data with detailed analysis results may be transmitted to the client terminal 2, and if the flow rate is low The data should be small enough to give an overview of the analysis results.
Next, the statistical processing unit 160 performs statistical processing on the access information recorded in the access database 130 in accordance with the optimal analysis conditions determined by the situation determination unit 150. For example, the condition is such that the statistical processing is changed to be simplified or detailed according to the network bandwidth between the client terminal 2 and the web server 1. The result of the statistical processing is converted into a format that can be displayed and output by the client terminal 2 (step 413).
[0081]
Next, the web server 1 transmits the analysis result output by the statistical processing unit 160 to the client terminal 2, and the client terminal 2 displays or outputs the received analysis result (step 407).
That is, in this embodiment, the statistical processing in the access analysis is not set uniquely by the web page administrator, but is automatically set to an optimal value depending on the network bandwidth between the client terminal 2 and the web server 1. Under various constraints, it is possible to obtain a flexible and effective statistical result for the situation related to the analysis process.
[0082]
[Fifth embodiment]
FIG. 15 shows the configuration of an access analysis system according to the fifth embodiment of the present invention. In the figure, the same components as those in FIG. 3 are denoted by the same reference numerals, and the description thereof is omitted.
The access analysis system shown in FIG. 15 has a configuration in which a server load investigation unit 210 is added to the access analysis apparatus 100 shown in FIG.
[0083]
The server load investigation unit 210 monitors the load state of the web server 1 at the time of an analysis request. Thereby, the situation determination unit 150 determines various situation information obtained from the database reading unit 140 and the server load investigation unit 210.
Next, the operation of the access analysis system having the above configuration will be described.
FIG. 16 is a flowchart showing the operation of the access analysis system of the fifth exemplary embodiment of the present invention.
[0084]
First, when a request for a web page is generated from the client terminal 2 to the web server 1 (step 501), the data monitoring unit 110 determines the content of the request (step 502), which is “normal web page request”. In this case, the data monitoring unit 110 extracts the information of the client 2, the access date and time, the request destination page address, and the like (steps 503 and 504).
[0085]
The data transmitted from the client terminal 2 when the client terminal 2 makes a web page request to the web server 1 is the same as in FIG. 5 of the first embodiment, and the web server 1 is the client terminal 2. When the data shown in FIG. 5 is received, the data responding to the client terminal 2 is the same as in FIG. Also, the data recorded in the access database 130 from the exchange of information shown in FIGS. 5 and 6 between the web server 1 and the client terminal 2 is the same as in FIG. 7 of the first embodiment. The description about is omitted.
[0086]
Next, the database recording unit 120 checks the capacity of the access database 130 that records the access log (step 505).
Next, the database recording unit 120 sequentially records the information obtained in Step 403 and Step 504 in the access database 130 (Step 506). As a result of checking the remaining capacity of the access database 130, the method of increasing / decreasing the contents to be recorded is the same as in the first embodiment, and the description thereof is omitted.
[0087]
Next, the web server 1 transmits information on the requested web page to the client terminal 2 (step 507), and waits until there is a request again.
If the request from the client terminal 2 is “access analysis” in step 502, the analysis request from the web page manager and its contents are received (step 508).
[0088]
Next, the server load monitoring unit 210 investigates the load applied to the web server 1 at the time of the analysis request (step 509).
For example, if the web server 1 is a UNIX machine, a load average may be acquired, and if not, a calculation program that ends in a relatively short time is periodically executed at a certain time interval. Then, by recording the end time, the maximum calculation time, the fastest calculation time, and the average calculation time may be calculated and compared with the calculation time when an analysis request is made.
[0089]
Next, the database reading unit 140 sets the range (period etc.) designated by the analysis request in the access database 130 (step 510), and retrieves access information within the requested range from the access database 130 (step 511).
Next, the situation determination unit 150 determines optimal analysis conditions based on the information obtained from the database reading unit 140 and the server load monitoring unit 210 (step 512).
[0090]
For example, regarding the server load, if detailed statistical analysis is performed in a state where the load of the web server 1 is high, the service that the web server 1 normally performs is affected, so the load of the web server 1 is high. Then, simple analysis processing should be performed, and if the load of the web server 1 is light, detailed analysis processing should be performed.
Next, the statistical processing unit 160 performs statistical processing on the access information recorded in the access database 130 in accordance with the optimal analysis conditions determined by the situation determination unit 150. For example, the condition is such that the statistical processing is changed according to the load of the web server 1 such as simplification or details. The result of the statistical processing is converted into a format that can be displayed and output by the client terminal 2 (step 513).
[0091]
Next, the web server 1 transmits the analysis result output by the statistical processing unit 160 to the client terminal 2, and the client terminal 2 displays or outputs the received analysis result (step 507).
In other words, in this embodiment, the statistical processing in the access analysis is not set uniquely by the web page administrator, but is automatically set to an optimum value according to the load state of the web server 1, so that various restrictions are imposed. Under the conditions, it is possible to obtain a statistical result that is flexible and effective in the situation related to the analysis process.
[0092]
The configuration of the first embodiment includes the access frequency calculation section 170 of the second embodiment, the analysis request source client terminal survey section 180 of the third embodiment, and the network bandwidth survey section of the fourth embodiment. One or a plurality of server load investigation units 210 of the fifth embodiment can be added, and combinations thereof are also free. For example, by adding the access frequency calculation unit 170 of the second example and the analysis request source client terminal investigation unit 180 of the third example to the configuration of the first example, it depends on the granularity corresponding to the access frequency. The analysis result can be provided to the client device according to the situation / environment of the client terminal that is the analysis request source.
[0093]
In addition, the access analysis device 100 is shown in FIGS. 3, 8, 11, 13, and 15 as being connected to the network 3 and configured independently of the web server 1. The configuration is not limited to this example, and may be included in the web server 1.
In addition, the operation of the access analysis device 100 in the first to fifth embodiments described above is constructed as a program, and a disk device connected to a computer used as the access analysis device, a floppy disk, a CD-ROM, etc. It is possible to easily realize the present invention by storing it in a portable storage medium and installing it when implementing the present invention.
[0094]
The present invention is not limited to the above-described embodiments, and various modifications and applications can be made within the scope of the claims.
[0095]
【The invention's effect】
As described above, according to the present invention, in the process of analyzing the access to the web page, in view of the constraint conditions regarding the web server, the client terminal, or the network connecting them, in particular, depending on the access frequency to the web server. By performing statistical processing by changing the aggregation unit, even if the change in the number of accesses to the web server is large, aggregation is performed in fine units such as minute increments and second increments during the period when the access count is large, and the access count is Aggregation can be performed in a relatively large unit such as a time unit in a small period.
[0096]
In addition, by changing the output form of the analysis result according to the situation related to the display device / output device of the client terminal that requests access analysis, the display device / output device of the client terminal, for example, the resolution is relatively rough However, a display device that can change screens and display moving images can draw a graphical graph and display points of interest using color or blinking. For example, a monochrome and still image printer device with high resolution can output a precise and accurate graph and a large amount of numerical data on a sheet of paper. For example, if the display range is limited and the mobile terminal can display only text information, the analysis result suitable for each case can be output by outputting representative data in tabular form from the enormous analysis results. It becomes possible to output.
[0097]
In addition, by examining the network bandwidth between the web server and the client terminal and changing the analysis result in more detail or depending on the degree and speed of network congestion, for example, wirelessly on a mobile terminal Even when access analysis is performed using a relatively slow line such as a network, only letters and numbers are excluded, so that tables and graphs that are not related to data are excluded so that the analysis results can be understood reliably even with a small amount of data. It is possible to devise a way to send important information first, for example, by sorting the data in order of top so that the line may be cut off in the middle. it can.
[0098]
In addition, by examining the load applied to the web page access analysis device or web server and changing the analysis work to the extent that does not affect other normal operations of the server according to the degree of load, access analysis It takes time for statistical processing, and even if a web page is requested from another client terminal, it takes time to respond to the request. The web page is not displayed easily, or the database to be analyzed is very large. As a result, it is possible to avoid the frequent access to the database device and the high load on the database.
[0099]
As described above, it is possible to provide analysis results suitable for each situation of the web server, client terminal, network, etc. without being conscious of the access analyst, and provide useful analysis results to the access analyst. can do.
[Brief description of the drawings]
FIG. 1 is a diagram for explaining the principle of the present invention.
FIG. 2 is a principle configuration diagram of the present invention.
FIG. 3 is a configuration diagram of an access analysis system of the present invention.
FIG. 4 is a flowchart showing the operation of the access analysis system of the present invention.
FIG. 5 is an example of data transmitted from the client terminal according to the first embodiment of this invention.
FIG. 6 is an example of response data of the web server according to the first embodiment of this invention.
FIG. 7 is an example of information that can be recorded in the database according to the first embodiment of this invention.
FIG. 8 is a configuration diagram of an access analysis system according to a second embodiment of this invention.
FIG. 9 is a flowchart showing the operation of the access analysis system according to the second exemplary embodiment of the present invention.
FIG. 10 is an example of a correspondence table in which the access frequency according to the second embodiment of this invention corresponds to the granularity of statistical processing to be used at that time.
FIG. 11 is a configuration diagram of an access analysis system according to a third exemplary embodiment of the present invention.
FIG. 12 is a flowchart showing the operation of the access analysis system of the third exemplary embodiment of the present invention.
FIG. 13 is a configuration diagram of an access analysis system according to a fourth exemplary embodiment of the present invention.
FIG. 14 is a flowchart showing the operation of the access analysis system according to the fourth exemplary embodiment of the present invention.
FIG. 15 is a block diagram of an access analysis system according to a fifth embodiment of the present invention.
FIG. 16 is a flowchart showing the operation of the access analysis system of the fifth exemplary embodiment of the present invention.
[Explanation of symbols]
1 web server
2 Client terminal
3 network
100 Access analyzer
110 Data monitoring unit, data monitoring means
120 Database recording unit, data recording means
130 Access database, storage means
140 Database reading unit
150 Situation judgment unit, analysis means
160 Statistical processing unit, statistical processing means
170 Access frequency calculator
180 Analysis request source client terminal adjustment unit
190 Network Bandwidth Research Department
210 Server load investigation department

Claims (11)

In an access analysis method for statistically analyzing the situation when a client terminal is connected to a web server via the Internet and requests web page information,
A data monitoring step of monitoring transmission / reception data between the client terminal and the web server;
A data recording step for recording transmission / reception status information including at least the status of the client terminal, the access status, and the request destination information in a storage unit based on a monitoring result;
When analyzing the requesting analysis request from the client terminal is issued, obtains the information stored in the storage means, and said row Cormorant access analysis step the access analysis of the client terminal to said web server,
An output step of outputting an access analysis result to the client terminal of the analysis request source via the web server;
And
In the access analysis step,
From the information stored in the storage means, an access frequency step of calculating an access frequency at which the client terminal requests a web page from the web server,
In the access frequency step,
An access analysis characterized by performing a step of determining a granularity used for statistical processing for analysis according to an amount of access requests to the web page from the client terminal to the web server and an interval between the access requests. Method. In an access analysis method for statistically analyzing the situation when a client terminal is connected to a web server via the Internet and requests web page information,
A data monitoring step of monitoring transmission / reception data between the client terminal and the web server ;
A data recording step for recording transmission / reception status information including at least the status of the client terminal, the access status, and the request destination information in a storage unit based on a monitoring result;
When an analysis request is issued from an analysis request source client terminal, an access analysis step of obtaining information stored in the storage means and analyzing the access of the client terminal to the web server;
An output step of outputting an access analysis result to the client terminal of the analysis request source via the web server;
And
In the access analysis step,
Investigate the processing load of the device itself that performs access analysis or the web server,
An access analysis method characterized by performing an analysis process that does not affect a normal service according to the degree of the processing load . An access analysis device that statistically analyzes a situation when a client terminal requests web page information in a system in which a plurality of client terminals and a web server are connected via the Internet,
Data monitoring means for monitoring transmission / reception data between the client terminal and the web server;
Based on the monitoring result, data recording means for recording transmission / reception status information including information on the client terminal, access status, and request destination information in a storage means;
When an analysis request is issued from an analysis request source client terminal, the information stored in the storage means is acquired, the access status of the client terminal to the web server, the web server, the client terminal, or the Situation judging means for judging the situation of the Internet and setting conditions for analysis,
And characterized in that it has a statistical processing unit for the analyzes information storage means, and outputs via the web server to the analysis requesting client terminal based on the conditions obtained in the situation determination unit Access analysis device. The situation determination means includes
4. The access analysis apparatus according to claim 3 , further comprising an access frequency calculating unit that calculates an access frequency at which the client terminal requests a web page from the web server from information stored in the storage unit. The access frequency calculation means includes:
The access analysis according to claim 4 , further comprising a granularity determination unit that determines a granularity used in the statistical processing unit in accordance with an amount of access requests to the web page from the client terminal to the web server and an interval between the access requests. apparatus. The situation determination means includes
Terminal determination means for determining a situation regarding the client terminal of the analysis request source,
The statistical processing means includes
Based on the determination of the terminal determination means, the access analysis result according to the screen size and resolution of the display device or printing device of the client terminal, whether color / monochrome output is possible, or the output form of the analysis result desired by the user 4. The access analysis apparatus according to claim 3 , further comprising means for outputting. The situation determination means includes
A bandwidth investigation means for examining a network bandwidth between the web server and the client terminal that requested the web page access analysis;
The statistical processing means includes
4. The access analysis apparatus according to claim 3 , further comprising means for outputting the access analysis result according to a degree of congestion of the network and a speed of the network based on an investigation result of the bandwidth investigation means. The situation determination means includes
A device for performing access analysis, or a load investigation means for investigating the processing load of the web server;
4. The access analysis apparatus according to claim 3 , further comprising means for performing an analysis process that does not affect a normal service according to the degree of the processing load. In a system in which a plurality of client terminals and web servers are connected via the Internet, a storage medium storing a statistical analysis to luer access analysis program the situation when the client terminal requests web page information,
On the computer,
A data monitoring step of monitoring transmission / reception data between the client terminal and the web server;
A data recording step for storing transmission / reception status information including information on the client terminal, access status, and request destination information in a storage unit based on a monitoring result;
When an analysis request is issued from an analysis request source client terminal, information stored in the storage unit is acquired, and the access status of the client terminal to the web server, the web server, the client terminal, or the Internet A situation determination step for determining the information of and setting conditions for the analysis process;
Based on the conditions obtained in the situation determination step analyzes the information of the storage means, and statistical processing step of outputting the analysis requesting client terminal via the web server, and characterized in that to the execution A storage medium storing an access analysis program. The situation determination step includes:
An access frequency analysis step of calculating an access frequency at which the client terminal requests a web page from the web server from information stored in the storage means;
A granularity determining step for determining a granularity used in statistical processing for analysis according to the amount of access requests to the web page from the client terminal to the web server and the interval between the access requests;
A terminal determination step for determining a situation regarding the client terminal of the analysis request source;
A bandwidth investigation step of investigating a network bandwidth between the web server and the analysis request source client terminal;
Investigate the processing load of the device that performs the access analysis or the web server, and perform at least one of the steps of performing an analysis process that does not affect the normal service according to the degree of the processing load , a storage medium storing the access analysis program according to claim 9, wherein. The statistical processing step includes
Based on the status of the client terminal of the web page access analysis request source, depending on the screen size and resolution of the display device or printing device of the client terminal, whether color / monochrome output is possible, or the output form of the analysis result desired by the user Te, and outputting the access analysis results,
At least one of the steps of outputting the access analysis result to the client terminal of the analysis request source via the web server in accordance with the degree of congestion of the network based on the network bandwidth investigation result and the speed of the network The storage medium which stored the access analysis program of Claim 9 or 10 which performs a step .

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