CN114363935A - Network element detection method and device, storage medium and electronic equipment - Google Patents

Abstract

The present disclosure relates to a network element detection method, device, storage medium and electronic equipment, and relates to the field of communication technologies. The method includes: firstly receiving a subscription request for the state of the target NF by the target network element NF, and receiving a message sent by the target network element NF. Heartbeat message, and monitor whether the heartbeat message is received within the preset cycle time. If the heartbeat message is not received after the preset cycle time, the NF state notification interface of the target network element NF is sent to the NF state notification interface to initiate a NF state detection request, and then according to the target network element The response time of the element NF to the NF state detection request determines the predicted state of the target network element NF, and returns the obtained predicted state to the target network element NF. In this way, the NRF can actively initiate status detection on abnormal NEs without adding NF service interfaces of NEs, which can avoid the problem of misjudgment of NF faults caused by untimely detection, thereby improving the detection of NE statuses. efficiency, further improving the availability of the 5GC system.

Description

Network element detection method, device, storage medium and electronic device

technical field

The embodiments of the present disclosure relate to the field of communication technologies, and in particular, to a network element detection method, apparatus, storage medium, and electronic device.

Background technique

With the rapid development of the 5th Generation Mobile Communication Technology (5G), the 3GPP standard R15 specification introduces a Service Based Architecture (SBA) in the 5G control plane, each network function ( Network Function) provides a service-oriented interface to the outside world. The Network Repository Function (NRF) network element is responsible for the automatic management of all NFs, including registration, discovery, and status detection. After the NF is started, it will actively report its own Network Function Service (NFS) information to the NRF, and find the corresponding NF through the NRF.

In the current 3GPP specification, the method used is often that the network element (NF) and the NRF keep alive through heartbeat messages, and the NRF determines whether the NF is available by determining whether the NF heartbeat is detected within the timeout period. In this way, since the time for monitoring the heartbeat message cannot be set accurately, it is easy to cause the NRF to misjudge the fault of the NF or the transient fault, which reduces the availability of the system.

Therefore, it is necessary to provide a new network element detection method and device.

It should be noted that the information disclosed in the above Background section is only for enhancement of understanding of the background of the present disclosure, and therefore may contain information that does not form the prior art that is already known to a person of ordinary skill in the art.

SUMMARY OF THE INVENTION

In order to overcome the problems existing in the related art, the present disclosure provides a network element detection method, device, storage medium and electronic equipment, so as to at least solve the problem that the time for monitoring the heartbeat message cannot be accurately set in the related art, resulting in the failure of NRF to NF or Transient faults produce false positives, reducing system availability problems.

According to an aspect of the present disclosure, a network element detection method is provided, applied to NRF, the method includes:

Receive a subscription request from the target network element NF to the state of the target NF, and receive a heartbeat message sent by the target network element NF;

monitoring whether the heartbeat message is received within a preset period of time;

If the heartbeat message is not received after the preset period time, initiate a NF state detection request to the NF state notification interface of the target network element NF;

Determine the predicted state of the target network element NF according to the response time of the target network element NF to the NF state detection request;

The obtained predicted state is returned to the target network element NF.

Optionally, the NF state detection request is initiated to the NF state notification interface of the target network element NF, including:

The NF state notification interface of the target network element NF is periodically sent to the NF state detection request.

Optionally, determining the predicted state of the target network element NF according to the response time of the target network element NF to the NF state detection request, including:

Obtain the response time of the target network element NF to the NF state detection request;

The response time is calculated by using a preset random algorithm to determine the predicted state of the target network element NF.

Optionally, calculating the response time by using a preset random algorithm to determine the predicted state of the target network element NF, including:

Calculate the transition matrix and transition probability of the response time through a Markov chain algorithm;

The predicted state of the target network element NF is determined according to the transition matrix of the response time and the transition probability.

Optionally, the method further includes:

receiving a subscription request from other network elements NF to the state of the target network element NF;

If the heartbeat message is not received within the preset period time, a message that the target network element NF is in the first state is returned to the other network element NF.

Optionally, after determining the predicted state of the target network element NF according to the response time of the target network element NF to the NF state detection request, the method further includes:

A message that the target network element NF is in a predicted state is returned to the other network element NF.

Optionally, the method further includes:

When the heartbeat message sent by the target network element NF is received again after the preset period time expires, the operation of monitoring whether the heartbeat message is received within the preset period time is stopped.

According to an aspect of the present disclosure, there is provided a network element detection device, which is applied to NRF, and the device includes:

a first receiving module, configured to receive a subscription request from a target network element NF to the state of the target NF, and receive a heartbeat message sent by the target network element NF;

a monitoring module for monitoring whether the heartbeat message is received within a preset cycle time;

an initiating module, configured to initiate an NF state detection request to the NF state notification interface of the target network element NF if the heartbeat message is not received beyond the preset period time;

a determining module, configured to determine the predicted state of the target network element NF according to the response time of the target network element NF to the NF state detection request;

The first returning module is configured to return the obtained predicted state to the target network element NF.

Optionally, the initiating module is further configured to:

The NF state notification interface of the target network element NF is periodically sent to the NF state detection request.

Optionally, the determining module is further used for:

Obtain the response time of the target network element NF to the NF state detection request;

The response time is calculated by using a preset random algorithm to determine the predicted state of the target network element NF.

Optionally, the determining module is further used for:

Calculate the transition matrix and transition probability of the response time through a Markov chain algorithm;

The predicted state of the target network element NF is determined according to the transition matrix of the response time and the transition probability.

Optionally, the device further includes:

a second receiving module, configured to receive a subscription request from other network elements NF to the state of the target network element NF;

The second returning module is configured to return a message that the target network element NF is in the first state to the other network element NF if the heartbeat message is not received within the preset period time.

Optionally, the device further includes:

The third returning module is configured to return a message that the target network element NF is in a predicted state to the other network element NF.

Optionally, the device further includes:

A stop module, configured to stop executing the monitoring of whether the heartbeat message is received within the preset period when the heartbeat message sent by the target network element NF is re-received after the preset period time is exceeded. operate.

According to one aspect of the present disclosure, there is provided a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements any one of the network element detection methods described above.

According to one aspect of the present disclosure, there is provided an electronic device, comprising:

processor; and

a memory for storing executable instructions for the processor;

Wherein, the processor is configured to execute any one of the network element detection methods described above by executing the executable instructions.

To sum up, the network element detection method provided by the embodiment of the present invention may first receive the subscription request of the target network element NF for the state of the target NF, and receive the heartbeat message sent by the target network element NF, and monitor it within a preset period of time. Whether a heartbeat message is received, if the heartbeat message is not received within the preset period time, an NF status detection request is initiated to the NF status notification interface of the target network element NF, and then according to the response time of the target network element NF to the NF status detection request, Determine the predicted state of the target network element NF, and return the obtained predicted state to the target network element NF. In this way, the NRF can actively initiate status detection on abnormal NEs without adding NF service interfaces of NEs, which can avoid the problem of misjudgment of NF faults caused by untimely detection, thereby improving the detection of NE statuses. efficiency, further improving the availability of the 5GC system.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description serve to explain the principles of the disclosure. Obviously, the drawings in the following description are only some embodiments of the present disclosure, and for those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

FIG. 1 is a flowchart of steps of a network element detection method provided by an embodiment of the present disclosure;

FIG. 2 is a flowchart of steps of another network element detection method provided by an embodiment of the present disclosure;

FIG. 3 is a flowchart of steps of another network element detection method provided by an embodiment of the present disclosure

FIG. 4 is a schematic flowchart of a network element detection provided by an embodiment of the present disclosure;

FIG. 5 is a schematic diagram of a network element detection interaction provided by an embodiment of the present disclosure;

FIG. 6 is a block diagram of a network element detection apparatus provided by an embodiment of the present disclosure;

FIG. 7 schematically shows an electronic device for implementing the foregoing network element detection method according to an exemplary embodiment of the present disclosure.

Detailed ways

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments, however, can be embodied in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be employed. In other instances, well-known solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repeated descriptions will be omitted. Some of the block diagrams shown in the figures are functional entities that do not necessarily necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

FIG. 1 is a flowchart of steps of a network element detection method provided by an embodiment of the present disclosure, which is applied to NRF. As shown in FIG. 1 , the method may include:

Step S101: Receive a subscription request for the state of the target NF by a target network element NF, and receive a heartbeat message sent by the target network element NF.

In the embodiment of the present disclosure, receiving a subscription request for the state of the target NF by the target network element NF may be that the target network element NF sends a request for subscribing to the state of the target network element NF to the NRF, and correspondingly, the NRF receives the subscription of the state of the target NF by the target network element NF request, where the subscription request for the target NF state may be a request to obtain the target NF state. Specifically, it may be to obtain the state of the target NF regularly according to a preset time, or it may be to obtain the updated target when the state of the target NF changes. NF state.

In this embodiment of the present disclosure, receiving the heartbeat message sent by the target network element NF may be a heartbeat message sent by the target network element NF to the NRF. Accordingly, the NRF receives the heartbeat message, where the heartbeat message may be sent according to a preset rule The message, for example, may be a message sent according to a preset period, or may be a message sent idle, so that the NRF can monitor whether and when the NF fails.

Step S102, monitoring whether the heartbeat message is received within a preset period.

In the embodiment of the present disclosure, the preset cycle time may be the time used to monitor the heartbeat message, to monitor whether the heartbeat message is received within the preset cycle time, or the NRF may monitor whether the target network element NF is received within the preset cycle time The heartbeat message sent, when the heartbeat message is received within the preset period, it can be determined that the target network element NF is in a normal working state, and when the heartbeat message is not received within the preset period, it can be determined that the target network element NF appears Fault.

Step S103: If the heartbeat message is not received within the preset period time, initiate a NF state detection request to the NF state notification interface of the target network element NF.

In the embodiment of the present disclosure, the NRF may monitor that the heartbeat message sent by the target network element NF has not been received after the preset period time, then the NRF may directly initiate the NF status detection request to the NF status notification interface of the target network element NF, and start Detect the state of the target network element NF. The NF state notification interface may be a subscription request for the target NF state sent by the target network element NF, and the subscription request carries the parameter information of the NF state notification interface, so that when the NRF detects that the target network element NF is faulty, Send a detection status request to the target network element NF. After receiving the NF state detection request, the target network element NF needs to return response information to the NRF, so that the NRF can determine the state of the target network element NF according to the returned response information.

Step S104: Determine the predicted state of the target network element NF according to the response time of the target network element NF to the NF state detection request.

In the embodiment of the present disclosure, since the NRF will send multiple NF status detection requests to the target network element NF through the NF status notification interface, the NRF can count the response times of the target network element NF to the multiple NF status detection requests in turn, so as to calculate the response time based on the For the response time of multiple NF state detection requests, the current state of the target network element NF is predicted, and the predicted state of the target network element NF is obtained.

For example, the response time interval of the target network element NF to the adjacent NF state detection request can be determined. If the response time interval matches the sending time interval of the NF state detection request, and the response time interval is less than the preset delay threshold, then the response time interval can be determined. It is determined that the predicted state of the target network element NF is the normal state, and if the response time interval does not match the sending time interval of the NF state detection request, and/or the response time interval is greater than the preset delay threshold, it can be determined that the target network element NF is in the normal state. The predicted state is a failure state.

Step S105: Return the obtained predicted state to the target network element NF.

In the embodiment of the present disclosure, the NRF may return the predicted state of the target network element NF to the network element NF that subscribes to the state of the target network element NF, that is, the NRF may return the predicted state of the target network element NF to the target network element NF, so that the target network element NF NF can repair its own fault in time according to the predicted state, so as to quickly restore to the normal working state.

To sum up, the network element detection method provided by the embodiment of the present invention may first receive the subscription request of the target network element NF for the state of the target NF, and receive the heartbeat message sent by the target network element NF, and monitor it within a preset period of time. Whether a heartbeat message is received, if the heartbeat message is not received within the preset period time, an NF status detection request is initiated to the NF status notification interface of the target network element NF, and then according to the response time of the target network element NF to the NF status detection request, Determine the predicted state of the target network element NF, and return the obtained predicted state to the target network element NF. In this way, the NRF can actively initiate status detection on abnormal NEs without adding NF service interfaces of NEs, which can avoid the problem of misjudgment of NF faults caused by untimely detection, thereby improving the detection of NE statuses. efficiency, further improving the availability of the 5GC system.

Optionally, in the embodiment of the present disclosure, the above-mentioned operation of initiating an NF state detection request to the NF state notification interface of the target network element NF may specifically include:

The NF state notification interface of the target network element NF is periodically sent to the NF state detection request.

In this embodiment of the present disclosure, the NRF may send an NF status detection request to the NF status notification interface of the target network element NF according to a preset detection period, so that the NRF can count the response time of the target network element NF to the periodic NF status detection request, to determine the predicted state of the target network element NF.

Optionally, in the embodiment of the present disclosure, the above-mentioned operation of determining the predicted state of the target network element NF according to the response time of the target network element NF to the NF state detection request, as shown in FIG. 2 , may specifically include: :

Step S1041: Obtain the response time of the target network element NF to the NF state detection request.

In the embodiment of the present disclosure, after the NRF periodically sends the NF status detection request through the NF status notification interface, the target network element NF responds to the NF status detection request, and the target network element NF returns the response information to the NF status detection request to the NRF , the NRF obtains the returned response information to the NF state detection request, and the NRF can determine the response time to the NF state detection request.

Step S1042: Calculate the response time by using a preset random algorithm to determine the predicted state of the target network element NF.

In the embodiment of the present disclosure, the preset random algorithm may be a Markov Chain (Markov Chain, MC) algorithm, a stacking forest algorithm, or other random prediction models. Using a preset random algorithm to calculate the response time to determine the predicted state of the target network element NF, the response time can be simulated by a preset stacking algorithm to determine the probability that the target network element NF is in different states, for example, the target network element NF There can be three states, which are normal state (register), unstable state (unstable) or suspended state (suspend). (suspend), the state with the highest probability can be used as the predicted state of the target network element NF.

Optionally, in the embodiment of the present disclosure, the above-mentioned operation of calculating the response time by using a preset random algorithm to determine the predicted state of the target network element NF may specifically include:

The transition matrix and transition probability of the response time are calculated by the Markov chain algorithm; the predicted state of the target network element NF is determined according to the transition matrix of the response time and the transition probability.

In the embodiment of the present disclosure, the Markov chain algorithm is used to determine the predicted state of the target network element NF, and the specific steps are as follows: First, the response time of n target network elements NF to the NF state detection request may be obtained, and the calculation and determination of the downstream microservices may be performed. Probability state, and then derive the transition state from the probability state, and based on the probability state and transition state, count the states to generate a state space, and generate a transition matrix according to the state space, which can represent the overall state position of the microservice. Finally, according to the matrix Multiplication calculates the current transition matrix, and then calculates the transition probability through the transition matrix. According to the transition probabilities corresponding to different states, the state with the largest transition probability is selected as the predicted state of the target network element NF.

Illustratively, the process of determining the predicted state of the target network element NF using the Markov chain algorithm is as follows: 1) get_responsetime_data(): Obtain n state detection response time data, and automatically generate data to drive the Markov chain process. Determine the status of NF1 by processing the response time data; the total response time of each status detection request can be obtained through the total_time parameter returned by curl_getinfo, and stored in the sequence response_time. 2) find_bin(): group the response times and arrange them in ascending order; group the obtained response time samples response_time, bin=[bin0, bin1,...,binn], where n=ceil(sqrt(count)), bin0=min, bin1=min+β, ..., binn=min+nβ. count is the total number of sample response_time, sqrt(count) is the square root of count, and ceil(sqrt(count)) is the next integer not less than sqrt(count). The gradient β of the grouping is (max-min)/sqrt(count), max is the maximum value in the sample, and min is the minimum value in the sample. 3) fin_freq(): Combine the previous two steps to calculate the number of response time samples in each response time group; count the number of sample response_time in each group xn(0<=n<ceil(sqrt(count))) Number mn, freq=[freq 0, freq 1, . . . freqn], (0<=n<ceil(sqrt(count))). When n=0, freq0=count(response_time<x1), and when n>0, freqn-1=count(xn-1<response_time<xn). 4) find_cum_freq(): Calculate the cumulative frequency of the response time data from the frequency obtained in the previous step; calculate the cumulative frequency cum_freq=[cum_freq0, cum_freq1,...,cum_freqn], (0<=n<ceil(sqrt(count))) . cum_freq0=freq0, cum_freq1=cum_freq0+freq1,  , cum_freqn=cum_freqn-1+freqn. 5) find_quartile_range(): Divide the cumulative frequency of the previous step into four groups to find the quartile range of the response time set; group the response time and divide it into four equal parts, and calculate the data at the three split points. digits. 6) find_p_states(): Use the response time of 1) and the range of the previous step to calculate the probability of each state; according to the range calculated in 5), the range range where the response_time response time sample is located is counted as states P1, P2, P3 respectively. 7) find_transition_states(): Calculate the transition state based on the state probability of the previous step. 8) find_state_count(): use the probability state of 6) and the transition state of 7) to determine the state count; calculate the state frequency of P1, P2, P3, P_11, P_12, P_13, P_21, P_22, P_23, P_31, P_32, P_33; 9 )create_transition_matrix(): Create transition matrix based on 8) state count; calculate state transition matrix transition_matrix={[P11/P1, P12/P1, P13/P1], [P21/P2, P22/P2, P23/P2], [ P31/P3, P32/P3, P33/P3]}; 10) matrix_mult_3_3(): The 3*3 multiplication matrix function is used to calculate the transition probability; this function calculates the matrix multiplication of the 3*3 matrix m1 and the 3*3 matrix m2 the result of. 11) find_transition_matrix(): Calculate the current transition probability, which can be determined by multiplying the transition matrix by the matrix of the current state. 12) predict_state(): The state of NF is finally predicted as "Register", "Unstable" or "Suspend" through steps 1)-11).

Optionally, in this embodiment of the present disclosure, as shown in FIG. 3 , the network element detection method may further specifically include:

Step S21: Receive a subscription request from other network elements NF to the state of the target network element NF.

In the embodiment of the present disclosure, when other network elements NF are associated with the target network element NF and need to obtain the status of the target network element NF, the other network elements NF may send a subscription request for the status of the target network element NF to the NRF, and accordingly, The NRF receives a subscription request for the NF state of the target network element sent by other network elements NF.

Step S22: If the heartbeat message is not received after the preset period time, return a message that the target network element NF is in the first state to the other network element NF.

In the embodiment of the present disclosure, when the NRF detects that the heartbeat message has not been received after a preset period time, the NRF may return a message that the target network element NF is in the first state to other network elements NF. The message of the first state may be that the target network element NF is in a suspended state.

Optionally, after the operation of determining the predicted state of the target network element NF according to the response time of the target network element NF to the NF state detection request, the embodiment of the present disclosure may further include:

A message that the target network element NF is in a predicted state is returned to the other network element NF.

In the embodiment of the present disclosure, the NRF may, according to the calculated predicted state of the target network element NF, return a message that the target network element NF is in the predicted state to other network elements NF that subscribe to the state of the target network element NF.

Optionally, in this embodiment of the present disclosure, the network element detection method may further include:

When the heartbeat message sent by the target network element NF is received again after the preset period time expires, the operation of monitoring whether the heartbeat message is received within the preset period time is stopped.

In this embodiment of the present disclosure, the NRF may re-receive the heartbeat message sent by the target network element NF after the preset period time expires, and the NRF may stop performing the operation of monitoring whether the heartbeat message is received within the preset period time.

Exemplarily, FIG. 4 is a schematic diagram of a network element detection process provided by an embodiment of the present disclosure. As shown in FIG. 4 , the network element NF may register with the NRF and subscribe to its own state, and the NF periodically sends a heartbeat message to the NRF to keep it alive; The heartbeat detection module on the NRF detects that the heartbeat message has timed out, but the NRF does not receive the NF heartbeat message. The heartbeat detection module on the NRF opens the NF state detection module, and preliminarily determines that the NF is in the SUSPEND state; the NRF notifies other networks that have subscribed to the NF state. The status of the NF is SUSPEND; before receiving the next heartbeat message that does not expire, the NF status detection module of the NRF sends the NF status notification interface to periodically initiate a NF status detection request; the NRF collects the NF status detection response time, The state of NF is judged as "REGISTER", "UNSTABLE" or "SUSPEND" through the Markov chain model; NRF notifies other network elements according to the predicted state. Within the heartbeat timeout period, the NRF receives the heartbeat message of the NF again, and the NF status detection module is turned off to stop the NF status detection.

Exemplarily, FIG. 5 is a schematic diagram of network element detection interaction provided by an embodiment of the present disclosure. As shown in FIG. 5 , 1. The network element NF1 registers with the NRF and subscribes to the state of NF1 itself; 2. NF1 sends a heartbeat message to the NRF; 3. , NRF judges whether the heartbeat has timed out; 4. If it times out, NRF determines that the state of NF1 is in the suspended state, and opens the NF abnormal state detector; 5. The NRF returns NF1 to other NFs as the suspended state; 6. The NRF returns NF1 to the NF1 as the suspended state; 7. NRF uses the Markov chain model to predict the state of NF1; 8. NRF periodically initiates NF state detection requests to NF1; 9. NRF returns the predicted state of NF1 to other NFs; 10. NF1 sends a heartbeat request to NRF; 11. NRF Determine whether the heartbeat has timed out; 12. If it has not timed out, the NRF determines that the state of NF1 is normal, and closes the NF abnormal state detector.

FIG. 6 is a block diagram of a network element detection apparatus provided by an embodiment of the present disclosure. As shown in FIG. 6 , the apparatus 30 includes:

a first receiving module 301, configured to receive a subscription request from a target network element NF to the state of the target NF, and receive a heartbeat message sent by the target network element NF;

A monitoring module 302, configured to monitor whether the heartbeat message is received within a preset cycle time;

Initiating module 303, configured to initiate an NF state detection request to the NF state notification interface of the target network element NF if the heartbeat message is not received beyond the preset period time;

A determination module 304, configured to determine the predicted state of the target network element NF according to the response time of the target network element NF to the NF state detection request;

The first returning module 305 is configured to return the obtained predicted state to the target network element NF.

To sum up, the network element detection device provided by the embodiment of the present invention can first receive the subscription request of the target network element NF for the state of the target NF, and receive the heartbeat message sent by the target network element NF, and monitor it within a preset period of time. Whether a heartbeat message is received, if the heartbeat message is not received within the preset period time, an NF status detection request is initiated to the NF status notification interface of the target network element NF, and then according to the response time of the target network element NF to the NF status detection request, Determine the predicted state of the target network element NF, and return the obtained predicted state to the target network element NF. In this way, the NRF can actively initiate status detection on abnormal NEs without adding NF service interfaces of NEs, which can avoid the problem of misjudgment of NF faults caused by untimely detection, thereby improving the detection of NE statuses. efficiency, further improving the availability of the 5GC system.

Optionally, the initiating module 303 is further configured to:

The NF state notification interface of the target network element NF is periodically sent to the NF state detection request.

Optionally, the determining module 304 is further configured to:

Obtain the response time of the target network element NF to the NF state detection request;

The response time is calculated by using a preset random algorithm to determine the predicted state of the target network element NF.

Optionally, the determining module 304 is further configured to:

Calculate the transition matrix and transition probability of the response time through a Markov chain algorithm;

The predicted state of the target network element NF is determined according to the transition matrix of the response time and the transition probability.

Optionally, the device 30 further includes:

a second receiving module, configured to receive a subscription request from other network elements NF to the state of the target network element NF;

The second returning module is configured to return a message that the target network element NF is in the first state to the other network element NF if the heartbeat message is not received within the preset period time.

Optionally, the device 30 further includes:

The third returning module is configured to return a message that the target network element NF is in a predicted state to the other network element NF.

Optionally, the device 30 further includes:

A stop module, configured to stop executing the monitoring of whether the heartbeat message is received within the preset period when the heartbeat message sent by the target network element NF is re-received after the preset period time is exceeded. operate.

The specific details of each module in the above network element detection apparatus have been described in detail in the corresponding network element detection method, and therefore are not repeated here.

It should be noted that although several modules or units of the apparatus for action performance are mentioned in the above detailed description, this division is not mandatory. Indeed, according to embodiments of the present disclosure, the features and functions of two or more modules or units described above may be embodied in one module or unit. Conversely, the features and functions of one module or unit described above may be further divided into multiple modules or units to be embodied.

Additionally, although the various steps of the methods of the present disclosure are depicted in the figures in a particular order, this does not require or imply that the steps must be performed in the particular order or that all illustrated steps must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step for execution, and/or one step may be decomposed into multiple steps for execution, and the like.

In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

As will be appreciated by one skilled in the art, various aspects of the present disclosure may be implemented as a system, method or program product. Therefore, various aspects of the present disclosure can be embodied in the following forms: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software aspects, which may be collectively referred to herein as implementations "circuit", "module" or "system".

The electronic device 400 according to this embodiment of the present disclosure is described below with reference to FIG. 7 . The electronic device 400 shown in FIG. 4 is only an example, and should not impose any limitation on the function and scope of use of the embodiments of the present disclosure.

As shown in FIG. 7, electronic device 400 takes the form of a general-purpose computing device. Components of the electronic device 400 may include, but are not limited to, the above-mentioned at least one processing unit 410 , the above-mentioned at least one storage unit 420 , a bus 430 connecting different system components (including the storage unit 420 and the processing unit 410 ), and a display unit 440 .

Wherein, the storage unit stores program codes, and the program codes can be executed by the processing unit 410, so that the processing unit 410 executes various exemplary methods according to the present disclosure described in the above-mentioned “Exemplary Methods” section of this specification. Implementation steps. For example, the processing unit 410 may perform step 101 as shown in FIG. 1: receive a subscription request for the state of the target NF by the target network element NF, and receive a heartbeat message sent by the target network element NF; step 102: Monitor whether the heartbeat message is received within a preset period; Step 103: If the heartbeat message is not received within the preset period, send the NF status notification interface to the NF status notification interface of the target network element NF to initiate a NF status detection request; Step 104: Determine the predicted state of the target network element NF according to the response time of the target network element NF to the NF state detection request; Step 105: Return the obtained state to the target network element NF predicted state.

The storage unit 420 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 4201 and/or a cache storage unit 4202 , and may further include a read only storage unit (ROM) 4203 .

The storage unit 420 may also include a program/utility 4204 having a set (at least one) of program modules 4205 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, An implementation of a network environment may be included in each or some combination of these examples.

The bus 430 may be representative of one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local area using any of a variety of bus structures. bus.

The electronic device 400 may also communicate with one or more external devices 500 (eg, keyboards, pointing devices, Bluetooth devices, etc.), with one or more devices that enable a user to interact with the electronic device 400, and/or with Any device (eg, router, modem, etc.) that enables the electronic device 400 to communicate with one or more other computing devices. Such communication may occur through input/output (I/O) interface 450 . Also, the electronic device 400 may communicate with one or more networks (eg, a local area network (LAN), a wide area network (WAN), and/or a public network such as the Internet) through a network adapter 460 . As shown, network adapter 460 communicates with other modules of electronic device 400 via bus 430 . It should be understood that, although not shown, other hardware and/or software modules may be used in conjunction with electronic device 400, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives and data backup storage systems.

From the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described herein may be implemented by software, or may be implemented by software combined with necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure may be embodied in the form of software products, and the software products may be stored in a non-volatile storage medium (which may be CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to cause a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to an embodiment of the present disclosure.

In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium on which a program product capable of implementing the above-described method of the present specification is stored. In some possible implementations, various aspects of the present disclosure may also be implemented in the form of a program product comprising program code for causing the program product to run on a terminal device when the program product is run on a terminal device. The terminal device performs the steps according to various exemplary embodiments of the present disclosure described in the above-mentioned "Example Method" section of this specification.

A program product for implementing the above method according to an embodiment of the present disclosure may adopt a portable compact disc read only memory (CD-ROM) and include program codes, and may run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or a combination of any of the above. More specific examples (non-exhaustive list) of readable storage media include: electrical connections with one or more wires, portable disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

A computer readable signal medium may include a propagated data signal in baseband or as part of a carrier wave with readable program code embodied thereon. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A readable signal medium can also be any readable medium, other than a readable storage medium, that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any suitable medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for performing the operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages—such as Java, C++, etc., as well as conventional procedural Programming Language - such as the "C" language or similar programming language. The program code may execute entirely on the user computing device, partly on the user device, as a stand-alone software package, partly on the user computing device and partly on a remote computing device, or entirely on the remote computing device or server execute on. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (eg, using an Internet service provider business via an Internet connection).

In addition, the above-mentioned figures are merely schematic illustrations of the processes included in the methods according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It is easy to understand that the processes shown in the above figures do not indicate or limit the chronological order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, in multiple modules.

Other embodiments of the present disclosure will readily suggest themselves to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or techniques in the technical field not invented by the present disclosure . The specification and examples are to be regarded as exemplary only, with the true scope and spirit of the disclosure being indicated by the claims.

Claims (10)

1. a network element detection method, is characterized in that, is applied to NRF, and described method comprises: Receive a subscription request from the target network element NF to the state of the target NF, and receive a heartbeat message sent by the target network element NF; monitoring whether the heartbeat message is received within a preset period of time; If the heartbeat message is not received after the preset period time, initiate a NF state detection request to the NF state notification interface of the target network element NF; Determine the predicted state of the target network element NF according to the response time of the target network element NF to the NF state detection request; The obtained predicted state is returned to the target network element NF. 2. The method according to claim 1, wherein the initiating an NF state detection request to the NF state notification interface of the target network element NF comprises: The NF state notification interface of the target network element NF is periodically sent to the NF state detection request. 3. The method according to claim 2, wherein, determining the predicted state of the target network element NF according to the response time of the target network element NF to the NF state detection request, comprising: Obtain the response time of the target network element NF to the NF state detection request; The response time is calculated by using a preset random algorithm to determine the predicted state of the target network element NF. 4. The method according to claim 3, wherein, calculating the response time by using a preset random algorithm to determine the predicted state of the target network element NF, comprising: Calculate the transition matrix and transition probability of the response time through a Markov chain algorithm; The predicted state of the target network element NF is determined according to the transition matrix of the response time and the transition probability. 5. The method according to claim 1, wherein the method further comprises: receiving a subscription request from other network elements NF to the state of the target network element NF; If the heartbeat message is not received within the preset period time, a message that the target network element NF is in the first state is returned to the other network element NF. 6. The method according to claim 5, wherein after determining the predicted state of the target network element NF according to the response time of the target network element NF to the NF state detection request, the method further comprises: : A message that the target network element NF is in a predicted state is returned to the other network element NF. 7. The method of claim 1, wherein the method further comprises: When the heartbeat message sent by the target network element NF is received again after the preset period time expires, the operation of monitoring whether the heartbeat message is received within the preset period time is stopped. 8. A network element detection device, characterized in that, when applied to NRF, the device comprises: a first receiving module, configured to receive a subscription request from a target network element NF to the state of the target NF, and receive a heartbeat message sent by the target network element NF; a monitoring module for monitoring whether the heartbeat message is received within a preset cycle time; an initiating module, configured to initiate an NF state detection request to the NF state notification interface of the target network element NF if the heartbeat message is not received beyond the preset period time; a determining module, configured to determine the predicted state of the target network element NF according to the response time of the target network element NF to the NF state detection request; The first returning module is configured to return the obtained predicted state to the target network element NF. 9 . A computer-readable storage medium on which a computer program is stored, characterized in that, when the computer program is executed by a processor, the network element detection method according to any one of claims 1-7 is implemented. 10. An electronic device, comprising: processor; and a memory for storing executable instructions for the processor; Wherein, the processor is configured to execute the network element detection method according to any one of claims 1-7 by executing the executable instruction.

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