CN111158847A - Method and system for scheduling resources of open source information acquisition virtual host - Google Patents
Method and system for scheduling resources of open source information acquisition virtual host Download PDFInfo
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Abstract
The invention provides a method and a system for scheduling resources of an open source information acquisition virtual host, wherein the method comprises the following steps: carrying out uniform resource consumption quantitative evaluation on various schedulable acquisition processing operations according to the system processing response time; acquiring initial quantitative evaluation on self available computing resources when a virtual host is initialized each time; acquiring an acquisition task input by a user, and decomposing the task into subtasks according to the type of the acquisition processing operation which can be scheduled; determining which collection virtual host executes the subtask according to the resource consumption estimated value of each subtask and the current available computing resource estimated value of each collection virtual host; and collecting resource consumption estimated values of each executed subtask by the virtual host, and updating the available computing resource estimated values in real time. The small granularity efficient scheduling of the CVH computing resources is achieved based on the segmentation of the collection processing tasks and the unified assessment of the resource consumption, and the resource utilization rate of the open source information collection virtual host is remarkably improved.
Description
Technical Field
The disclosure relates to the field of computers, in particular to a computer network resource scheduling management technology, and specifically relates to a scheduling method and system for open source information acquisition virtual host resources.
Background
At present, most of internet open source information acquisition systems are distributed on the internet at home and abroad by a large number of Virtual hosts, and in order to meet the requirements of continuous increase of acquisition target number and high timeliness requirement of information acquisition, the calculation and bandwidth resource requirements of geometric-level increase are met only by continuously adding acquisition Virtual hosts (CVH), and the actual requirements cannot be well met mainly because: due to uncertainty of external service quality and the number of acquired targets of a target site, acquisition and processing resources are uncontrollable, acquisition and access bandwidths are constantly changed, and meanwhile due to the fact that target data structures are different, page analysis time consumption differentiation and the like are caused, and the current situation that resource utilization rate of each CVH distributed on the internet is low is finally caused.
Most of previous open source information collection systems aim at internet news sites and social media mainly, strategies for resource scheduling of collection nodes are mostly aimed at HTTP request operation, but at present, open source information data sources are not limited to news sites and social media, but also comprise knowledge base collection in various fields such as encyclopedic, Chiense and the like, data structures are more diversified than traditional information collection, page analysis is more difficult, resources are inevitably consumed, and for example, regular expression extraction is carried out on complex pages.
Disclosure of Invention
The purpose of the present disclosure is to overcome the defects in the prior art, and provide a resource scheduling method and system for an open source information collection virtual host based on subdivision of collection processing tasks and unified assessment of resource consumption, so as to improve the utilization rate of CVH resources, and further improve the collection efficiency of the entire system.
One aspect of the present disclosure provides a method for scheduling resources of an open source information acquisition virtual host, including the following steps:
carrying out uniform resource consumption quantitative evaluation on various schedulable acquisition processing operations according to the system processing response time;
acquiring initial quantitative evaluation on self available computing resources when a virtual host is initialized each time;
acquiring an acquisition task input by a user, and decomposing the task into subtasks according to the type of the acquisition processing operation which can be scheduled;
determining which collection virtual host executes the subtask according to the resource consumption estimated value of each subtask and the current available computing resource estimated value of each collection virtual host;
and collecting resource consumption estimated values of each executed subtask by the virtual host, and updating the available computing resource estimated values in real time.
Further, the schedulable collection operation processing types include: general analytic calculation, HTTP request, page turning analysis, XPath element extraction, CSS element extraction, special time character string calculation and regular expression calculation.
Further, the method for performing the quantitative evaluation of the uniform resource consumption comprises the following steps:
the processing response time of 'general analysis and calculation' is used as a basic value of consumed processing operation resources and is agreed as a basic unit of resource consumption;
and performing other types of acquisition processing operation, and performing unified measurement on the resource consumption condition relative to the resource consumption basic unit according to the processing response time actually measured in the CVH initialization stage.
Further, the method also comprises the following steps:
and when the available computing resources of the collected virtual host are less than or equal to a certain proportion of the initial quantitative estimation value, sending out early warning to inform a user.
Further, when the available computing resources of the collection virtual host are less than or equal to 20% of the initial quantitative estimation value, an early warning is sent out.
Another aspect of the present disclosure provides an open source information collection virtual host resource scheduling system using the resource scheduling method, including:
the scheduling module runs in a data acquisition center node and is used for decomposing an acquisition task input by a user into schedulable acquisition processing operation subtasks, inquiring the resource consumption estimated value of each subtask, and issuing and distributing the resource consumption estimated value to the acquisition virtual host;
the acquisition module runs in the acquisition virtual host and is used for executing the distributed acquisition processing operation subtasks and feeding back an execution result; and updating the available computing resource estimated value of the acquisition virtual host in real time according to the resource consumption estimated value of the executed subtask, and sending an early warning to the scheduling module when the available computing resource estimated value is lower than a threshold value.
Furthermore, the scheduling module and the acquisition module transmit messages through a message bus, and share the to-be-processed acquisition processing operation subtasks and the acquired estimation values of the available computing resources of the virtual host.
Further, the data collection center node further includes:
the input module is used for inputting the collection task of the user and transmitting the collection task to the scheduling module;
and the storage module is used for receiving and storing the acquisition processing operation execution result fed back by the acquisition module.
Therefore, the open source information acquisition virtual host resource scheduling method comprehensively considers the difference of the acquisition and processing behaviors, reasonably classifies various processing operations in the acquisition process according to the acquisition and processing response time, provides a brand new metering mode of resource occupation assessment, realizes small-granularity efficient scheduling of CVH (composite video channel) computing resources, remarkably improves the resource utilization rate of the open source information acquisition virtual host, further improves the acquisition efficiency of the whole system, and saves the cost.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
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The above and other objects, features and advantages of the present disclosure will become more apparent by describing in more detail exemplary embodiments thereof with reference to the attached drawings.
FIG. 1 is a flowchart of a method for open source information collection virtual host resource scheduling in accordance with an illustrative embodiment;
FIG. 2 is a schematic diagram of an open source information collection virtual host resource scheduling system in accordance with an illustrative embodiment;
FIG. 3 is a flowchart of a scheduling module of an open source information collection virtual host resource scheduling system in accordance with an illustrative embodiment;
fig. 4 is a flowchart of an acquisition module work of the open source information acquisition virtual host resource scheduling system according to an exemplary embodiment.
Detailed Description
Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Fig. 1 shows a flowchart of a resource scheduling method for an open source information collection virtual host according to an exemplary embodiment, which includes the following steps:
step 1: and carrying out unified resource consumption quantitative evaluation on various schedulable acquisition processing operations according to the system processing response time.
In the prior art, most of the strategies for scheduling the collection node resources are directed at HTTP request operation, but the practical requirements of the current open-source information collection are fully considered in the present disclosure, including consumption of system resources in various aspects of page parsing, regular expression extraction and the like, so that the current common collection processing operations are taken as scheduling objects, the resource consumption condition is subjected to unified quantitative evaluation, and the scheduling objects are taken as scheduling bases, so that the utilization rate of the scheduling strategies to CVH computing resources can be greatly refined and improved.
Preferably, the schedulable acquisition operation processing types include: general analytic calculation, HTTP request, page turning analysis, XPath element extraction, CSS element extraction, special time character string calculation and regular expression calculation.
As a preferred scheme, the method for carrying out quantitative evaluation on the consumption of the uniform resources comprises the following steps:
taking the processing response time of 'general analysis and calculation' and the average consumed time of 50ms as a basic value of consumed processing calculation resources, and appointing the processing response time as a Resource Consumption basic Unit (RCU); here, "general analysis calculation" includes character string calculation, time calculation, and the like.
And performing unified measurement of the resource consumption condition relative to the resource consumption basic unit by other types of acquisition processing operation according to the actually measured processing response time in the CVH initialization stage.
For example, the CVH is configured to: the X86 system architecture model is configured with 20 thread CPUs, 32GB memory and 80GB disks, and a CentOS 7 operating system is installed, and the calculation resource consumption table is shown in Table 1.
Table 1 reference table for consumption of acquisition processing operation resources
Step 2: and acquiring initial quantitative evaluation of the available computing resources of the virtual host per se during each initialization of the virtual host.
And according to the system configuration of the virtual host, carrying out initial quantitative evaluation on the available computing resources of the virtual host, and using the initial quantitative evaluation as the basis for carrying out task allocation subsequently. The quantitative evaluation and the resource consumption evaluation in step 1 adopt unified standards.
And step 3: acquiring an acquisition task input by a user, and decomposing the task into subtasks according to the schedulable acquisition processing operation type.
The acquisition task entered by the user describes the URL of the acquisition target site, page elements and analysis rules needing to be structured, page turning rules, acquisition frequency and other parameters. The acquisition tasks are decomposed into small-granularity and schedulable acquisition processing subtasks, so that the computational resources of the CVH can be fully utilized subsequently.
And 4, step 4: the determination of which collection VM to execute the subtask is made based on the estimate of resource consumption for each subtask and the estimate of the current available computing resources for each collection VM.
The step can adopt various existing specific scheduling methods, including assigning a task to the collection virtual host according to the available resource condition of the collection virtual host, or actively proposing to execute a certain subtask by the collection virtual host when the collection virtual host is idle. But based on the resource consumption estimates for each subtask, as well as the currently available computational resource estimates for each collection virtual host.
And 5: and collecting resource consumption estimated values of each executed subtask by the virtual host, and updating the available computing resource estimated values in real time.
The method comprises the following steps: subtracting the resource consumption estimate of a subtask from the available computing resources when starting to execute the subtask; and the resource is to be released as an available resource upon completion of execution.
As a preferred scheme, the exemplary method for scheduling resources of the open source information collection virtual host further includes the steps of: and when the available computing resources of the collected virtual host are less than or equal to a certain proportion of the initial quantitative estimation value, sending out early warning to inform a user.
The user can judge whether to increase the acquisition virtual host according to the early warning frequency of the acquisition virtual host, so that blind increase and cost waste are avoided.
Preferably, when the available computing resources of the collection virtual host are less than or equal to 20% of the initial quantitative estimation value, an early warning is sent out.
Another aspect of the present disclosure provides an open source information collection virtual host resource scheduling system using the foregoing scheduling method, as shown in fig. 2, the open source information collection virtual host resource scheduling system according to an exemplary embodiment includes:
the scheduling module runs in a data acquisition center node of the open source information acquisition system and is used for decomposing an acquisition task input by a user into schedulable acquisition processing operation subtasks, inquiring the resource consumption estimated values of each subtask, and issuing and distributing the resource consumption estimated values to the acquisition virtual host;
the acquisition module runs in the acquisition virtual host and is used for executing the distributed acquisition processing operation subtasks and feeding back an execution result; and updating the available computing resource estimated value of the acquisition virtual host in real time according to the resource consumption estimated value of the executed subtask, and sending an early warning to the scheduling module when the available computing resource estimated value is lower than a threshold value.
As a preferred scheme, the scheduling module and the acquisition module transmit messages through a Message Bus (MB), and perform to-be-processed acquisition processing operation subtasks and acquisition sharing of currently available computing resource estimates of the virtual host.
An exemplary scheduling module workflow diagram is shown in fig. 3. The scheduling module is responsible for packaging the decomposed acquisition tasks into schedulable acquisition processing operations, inquiring the resource consumption value of each acquisition processing operation, and dispatching the resource consumption value to the MB in the form of subtasks; meanwhile, the scheduling module receives the resource consumption condition and the resource early warning information written back by the acquisition module from the MB.
An exemplary acquisition module workflow diagram is shown in fig. 4. The acquisition module acquires subtask information through a message bus MB, and determines whether to process the task after comparing the subtask information with the current available calculation resource estimated value and calculating; after the acquisition processing operation is completed, the acquisition module writes back the processing result to the MB; and updating the current available computing resource condition in real time before and after executing a subtask, and writing back to the MB to realize state sharing with the scheduling module.
The experimental environment adopts 5 CVH, a mainstream X86 system architecture model is selected, 10 thread CPUs, 32GB memories and 80GB disks are configured, a CentOS 7 operating system is installed, and 5 acquisition modules are deployed on the CentOS 7 operating system. Initializing the maximum collection load of the server to be 100000RCU, converting the maximum collection load to be 80000RCU according to 80% safety load, and using the rest 20% as standby load.
In addition, the data collection central node may further include:
the input module is used for inputting the collection task of the user and transmitting the collection task to the scheduling module;
and the storage module is used for receiving and storing the acquisition processing operation execution result fed back by the acquisition module.
The foregoing is merely an illustrative embodiment of the present invention, and any equivalent changes and modifications made by those skilled in the art without departing from the spirit and principle of the present invention should fall within the protection scope of the present invention.
Claims (8)
1. A resource scheduling method for an open source information acquisition virtual host is characterized by comprising the following steps:
carrying out uniform resource consumption quantitative evaluation on various schedulable acquisition processing operations according to the system processing response time;
acquiring initial quantitative evaluation on self available computing resources when a virtual host is initialized each time;
acquiring an acquisition task input by a user, and decomposing the task into subtasks according to the type of the acquisition processing operation which can be scheduled;
determining which collection virtual host executes the subtask according to the resource consumption estimated value of each subtask and the current available computing resource estimated value of each collection virtual host;
and collecting resource consumption estimated values of each executed subtask by the virtual host, and updating the available computing resource estimated values in real time.
2. The method for scheduling resources of an open-source information collection virtual host according to claim 1, wherein the schedulable collection operation processing types include: general analytic calculation, HTTP request, page turning analysis, XPath element extraction, CSS element extraction, special time character string calculation and regular expression calculation.
3. The method for scheduling the resources of the open-source information collection virtual host according to claim 1, wherein the method for performing the quantitative evaluation of the uniform resource consumption comprises:
the processing response time of 'general analysis and calculation' is used as a basic value of consumed processing operation resources and is agreed as a basic unit of resource consumption;
and performing unified measurement of the resource consumption condition relative to the resource consumption basic unit by other types of acquisition processing operation according to the processing response time actually measured in the CHV initialization stage.
4. The method for scheduling resources of an open source information collection virtual host according to claim 1, further comprising the steps of:
and when the available computing resources of the collected virtual host are less than or equal to a certain proportion of the initial quantitative estimation value, sending out early warning to inform a user.
5. The method of claim 4, wherein the early warning is issued when the available computing resources of the collection VM are less than or equal to 20% of the initial quantized estimates.
6. An open source information collection virtual host resource scheduling system adopting the resource scheduling method of any one of claims 1 to 5, comprising:
the scheduling module runs in a data acquisition center node and is used for decomposing an acquisition task input by a user into schedulable acquisition processing operation subtasks, inquiring the resource consumption estimated value of each subtask, and issuing and distributing the resource consumption estimated value to the acquisition virtual host;
the acquisition module runs in the acquisition virtual host and is used for executing the distributed acquisition processing operation subtasks and feeding back an execution result; and updating the available computing resource estimated value of the acquisition virtual host in real time according to the resource consumption estimated value of the executed subtask, and sending an early warning to the scheduling module when the available computing resource estimated value is lower than a threshold value.
7. The system of claim 6, wherein the scheduling module and the collection module transmit messages via a message bus, and share the pending collection processing computation subtasks and the collection virtual host available computation resource estimates.
8. The open source information collection virtual host resource scheduling system of claim 6, wherein the data collection center node further comprises:
the input module is used for inputting the collection task of the user and transmitting the collection task to the scheduling module;
and the storage module is used for receiving and storing the acquisition processing operation execution result fed back by the acquisition module.
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