WO2018001048A1

WO2018001048A1 - Multi-process monitoring method, apparatus and service system

Info

Publication number: WO2018001048A1
Application number: PCT/CN2017/087185
Authority: WO
Inventors: 还超
Original assignee: 中兴通讯股份有限公司
Priority date: 2016-06-30
Filing date: 2017-06-05
Publication date: 2018-01-04
Also published as: CN107562597A

Abstract

A multi-process monitoring method, apparatus and service system, wherein said multi-process monitoring method comprises: carrying out parallel detection on a plurality of processes to be detected that run within a system (11); if a detection operation is not completed within a pre-set time, said detection operation is stopped, and detection results of the processes to be detected corresponding to the detection operation are obtained (12). By means of carrying out parallel detection on a plurality of processes to be detected that run within a system and stopping a detection operation when the detection operation has not been completed within a pre-set time, subsequent operations continue to be executed, allowing for diversification of detection items and preventing detection processes and result-collecting of the entire system from being blocked, which is beneficial for expansion and allows for flexibility when adding or removing detected processes.

Description

Multi-process monitoring method, device and service system

Technical field

The present application relates to the field of multi-process monitoring technologies, for example, to a multi-process monitoring method, apparatus, and service system.

Background technique

There are multiple service processes in the general system. Common monitoring methods generally have resident processes and use some scripting languages as detection means. Each process is independently detected, but the following shortcomings exist:

1. The test items are relatively simple;

2. It is more difficult to expand (add delete) detection items (need to stop the detection system, do secondary development, add code);

3. The detection item is serial detection, which may block in the middle, and the detection time is too long.

Summary of the invention

The present disclosure provides a multi-process monitoring method, apparatus and service system, which solves the problems of single project, difficult expansion and easy middle blocking in the multi-process monitoring scheme in the related art.

In order to solve the above technical problem, an embodiment of the present disclosure provides a multi-process monitoring method, including:

Perform parallel detection on multiple processes to be detected running in the system;

If there is an unfinished detection operation within the preset duration, the detection operation is stopped, and the detection result of the process to be detected corresponding to the detection operation is obtained.

Optionally, the step of performing parallel detection on multiple processes to be detected running in the system includes:

Start and initialize the system;

After the system is initialized, parallel detection is performed on multiple processes to be detected running in the system.

Optionally, the step of obtaining the detection result of the process to be detected corresponding to the detecting operation includes:

A detection result of the detection process abnormality or the detection failure corresponding to the detection operation corresponding to the detection operation is obtained.

Optionally, it also includes:

Obtaining a detection result and configuration information of a process to be detected that performs a detection operation;

Performing a corresponding processing operation on the to-be-detected process according to the detection result and the configuration information.

Optionally, the step of performing a corresponding processing operation on the to-be-detected process according to the detection result and the configuration information includes:

When the detection result is the detection abnormality or the detection failure, the process to be detected corresponding to the detection result is restarted according to the configuration information, and the process to be detected is detected after the restart is completed; or

When the detection result is a detection abnormality or a detection failure, the entire system is restarted according to the configuration information.

Performing parallel detection on multiple processes to be detected running in the system during the first monitoring period;

The step of acquiring the detection result and the configuration information of the process to be detected that performs the detecting operation includes:

Obtaining a detection result and configuration information of a process to be detected that performs a detection operation in a second monitoring period;

The second monitoring period is the next period of the first monitoring period.

Detecting each process to be detected separately according to the monitoring period and the detection period of each process to be detected;

The detection period is an integer multiple of the monitoring period.

Obtaining detection information of the process to be detected;

Performing parallel detection on a plurality of processes to be detected running in the system according to the detection information.

The present disclosure also provides a multi-process monitoring device, including:

a detection module configured to perform parallel detection on a plurality of processes to be detected running in the system;

The processing module is configured to stop the detecting operation if the detecting operation is not completed within the preset duration, and obtain a detection result of the to-be-detected process corresponding to the detecting operation.

The present disclosure also provides a multi-process service system, including: the multi-process monitoring device described above.

Embodiments of the present disclosure also provide a non-transitory computer readable storage medium storing computer executable instructions arranged to perform the above method.

An embodiment of the present disclosure further provides an electronic device, including:

At least one processor;

a memory communicatively coupled to the at least one processor; wherein

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to cause the at least one processor to perform the method described above.

The beneficial effects of the above technical solutions of the present disclosure are as follows:

In the above solution, the multi-process monitoring method performs parallel detection on multiple processes to be detected running in the system, and stops the detection operation when there is an unfinished detection operation within a preset duration, and continues to perform subsequent operations, so that The detection project is diversified, the detection process and result collection of the entire system are not blocked, and it is easy to expand (the process can be added or deleted flexibly).

BRIEF abstract

1 is a schematic flow chart of a multi-process monitoring method according to Embodiment 1 of the present disclosure;

2 is a schematic diagram of system startup according to Embodiment 1 of the present disclosure;

3 is a schematic diagram of a detection architecture according to Embodiment 1 of the present disclosure;

4 is a schematic structural diagram of a multi-process monitoring apparatus according to Embodiment 2 of the present disclosure;

FIG. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.

detailed description

In order to make the technical problems, technical solutions and advantages of the present disclosure more clear, the following detailed description will be made with reference to the accompanying drawings and embodiments.

The present disclosure provides various solutions for the single project, difficult expansion, and easy to block in the multi-process monitoring scheme in the related art, as follows:

Embodiment 1

As shown in FIG. 1 , a multi-process monitoring method provided in Embodiment 1 of the present disclosure includes:

Step 11: Perform parallel detection on multiple processes to be detected running in the system;

Step 12: If there is an unfinished detection operation within the preset duration, the detection operation is stopped, and the detection result of the process to be detected corresponding to the detection operation is obtained.

The preset duration refers to the detection timeout threshold.

The multi-process monitoring method provided by Embodiment 1 of the present disclosure passes through multiple pending tests in the system. The measurement process performs parallel detection, and when there is an unfinished detection operation within a preset duration, the detection operation is stopped, and subsequent operations are continued, so that the detection items are diversified, the detection process of the entire system, and the result collection are not blocked, and is convenient. Extensions (the ability to add or remove detected processes flexibly).

The step of performing parallel detection on multiple processes to be detected running in the system may include: starting and initializing the system; and after the system is initialized, performing parallel detection on multiple processes to be detected running in the system.

In order to ensure that the system does not have an abnormal environment, the measures that can be taken are: when the system is powered on, first call the module with the stop function, then call the module with the startup and initialization functions to start and initialize the system.

The step of obtaining the detection result of the process to be detected corresponding to the detection operation includes: obtaining a detection result of the process detection abnormality or the detection failure corresponding to the detection operation.

The multi-process monitoring method may further include: acquiring a detection result and configuration information of a process to be detected that performs a detection operation; and performing a corresponding processing operation on the to-be-detected process according to the detection result and the configuration information.

There are a plurality of operations for the detection result. The present disclosure provides two examples: the step of performing a corresponding processing operation on the process to be detected according to the detection result and the configuration information includes: the detection result is When the detection is abnormal or the detection fails, the process to be detected corresponding to the detection result is restarted according to the configuration information, and the process to be detected is detected after the restart is completed; or the detection result is a detection abnormality or a detection failure. When the entire system is restarted according to the configuration information.

The configuration information includes the processing operations performed when the process detects a failure or an exception. The failure and the abnormal processing operations may be identical or inconsistent, and are not limited herein.

In order to prevent blocking, the step of performing parallel detection on a plurality of processes to be detected running in the system includes: performing parallel detection on a plurality of processes to be detected running in the system in a first monitoring period; The step of detecting the detection result and the configuration information of the process to be detected includes: acquiring, in the second monitoring period, a detection result and configuration information of the process to be detected that performs the detecting operation; the second monitoring period is the next one of the first monitoring period cycle.

In order to ensure the normal operation of the system and the monitoring, the step of performing parallel detection on the plurality of processes to be detected in the system includes: separately detecting each process to be detected according to the monitoring period and the detection period of each process to be detected; The detection period is an integer multiple of the monitoring period.

The step of performing parallel detection on the plurality of processes to be detected running in the system includes: acquiring detection information of the process to be detected; and performing multiple operations on the system according to the detection information, corresponding to the flexible process of adding or deleting the detected process. The process to be tested performs parallel detection.

The detection information includes the identity of the process to be detected.

The multi-process monitoring method provided in the first embodiment of the present disclosure will be described below.

The solution provided by the embodiment of the present disclosure can be implemented by using the following functional modules:

The system startup unit is responsible for the initialization of the multi-process system environment and the startup of all processes. The detected process performs a startup operation on the registered detected process through the system startup unit in some abnormal situations when it needs to be started.

The system monitoring unit is responsible for timing execution (triggering the set function unit) and checking the detection results of each detected process, and adopting a corresponding strategy (calling the corresponding functional unit). This can be done by creating a timed task in the system.

The system stops the unit and is responsible for stopping all processes in the multi-process system. When the detected process needs to stop under certain abnormal conditions, the system stops the unit to perform a stop operation on the registered detected process.

The system control unit is responsible for the timeout control of the detected process and the detection of each process. The system control unit periodically performs a state detection operation on the registered detected process (triggered by the system monitoring unit).

The environment configuration unit is responsible for configuring environment variables (process parameters, including operations to be performed after failure detection), timeout period of detection, time interval for monitoring, and submodules (processes) to be monitored.

The units are the function functions of each sub-function, including start, stop, and detection. There are two types of processes: the core process (detection failure, system restart) and the general process (detection failure, process restart).

The multi-process monitoring method provided in Embodiment 1 of the present disclosure can be summarized into two processes:

System power-on startup process

As shown in Figure 2, when the server is powered on, the system monitoring unit first calls the system stop unit to ensure that the environment is clean and then calls the system boot unit.

System inspection process

As shown in FIG. 3, the system monitoring unit sends a command to the system control unit according to the configuration of the environment configuration unit, and then the monitoring unit ends the return. The system control unit concurrently calls the detection of each process Interface function, and control the detection timeout time of each process. All tests are completed within the specified time, and there is a blockage (detection abnormality) to kill it (stop the corresponding detection operation, which can be regarded as the detection failure). When the next cycle arrives, the system monitoring unit executes the corresponding processing operation according to the result of the last cycle detection, and if there is an error, the process stop function interface (system stop unit) is called.

It can be seen that the solution provided by the first embodiment of the present disclosure can uniformly monitor multiple detected processes in the system, and adopt a parallel detection method, so that the detection process and result collection of the entire system are not blocked, and can be flexible. Add or remove detected processes.

Application examples are as follows:

Assume that a Linux multi-process service system has four processes, namely A process, B process, C process, and D process, which need to be monitored and monitored (monitored).

First, add the detection items of these four processes to the environment configuration unit (the detection items are made into function files, and are directly added to the environment configuration unit in a modular form, and it is no longer necessary to stop detecting and modifying the relevant system code) .

Then, when the system is powered on, the system monitoring unit will first call the system stop unit, then call the system boot unit, start and initialize the system to ensure that the system does not have an abnormal environment.

During normal operation of the system, the system monitoring unit creates asynchronous detection tasks for the four detected processes in the first monitoring period (create new tasks with scripts, and the detection operations are performed by the system control unit), and then wait until the next monitoring. When the cycle arrives, the result of the last monitoring cycle detection is collected, and corresponding processing is performed according to the detected result (calling the corresponding functional unit). The detection period of the process is an integer multiple of the monitoring period. For example, if the monitoring period is 3s, the detection period is 3s, 6s, or 9s.

For example, if the detection finds that there is a problem with the detected process A, it will perform corresponding processing according to the configuration: only restart process A, or restart the entire system.

If only process A is restarted, process A will not be detected again during the detection period until the process A restarts.

If it is necessary to restart the entire system, first stop the entire system through the system stop unit, and then start the system through the system boot unit (requires the system to start when the hardware environment such as hardware and network card meets the boot conditions).

Embodiment 2

As shown in FIG. 4, the multi-process monitoring apparatus provided in Embodiment 2 of the present disclosure includes:

The detecting module 41 is configured to perform parallel detection on multiple processes to be detected running in the system;

The first processing module 42 is configured to stop the detecting operation if the detecting operation is not completed within the preset time period, and obtain the detection result of the to-be-detected process corresponding to the detecting operation.

The preset duration refers to the detection timeout threshold.

The multi-process monitoring apparatus provided in the second embodiment of the present disclosure stops the detection operation by performing parallel detection on a plurality of processes to be detected running in the system, and stops performing the detection operation when there is an unfinished detection operation within a preset duration. The operation makes the detection items diversified, the detection process and result collection of the entire system are not blocked, and it is easy to expand (the detection process can be added or deleted flexibly).

The detecting module may include: a first processing sub-module configured to start and initialize the system; and the first detecting sub-module configured to perform parallel detection on the plurality of processes to be detected running in the system after the system is initialized.

The first processing module includes: a second processing sub-module configured to obtain a detection result of a detection abnormality or a detection failure of the to-be-detected process corresponding to the detecting operation.

The multi-process monitoring device may further include: an obtaining module configured to acquire a detection result and configuration information of a process to be detected that performs a detecting operation; and a second processing module configured to be configured according to the detection result and the configuration information Performing a corresponding processing operation on the process to be detected.

There are a plurality of operations for the detection result, and the present disclosure provides two examples: the second processing module includes: a third processing submodule configured to, when the detection result is a detection abnormality or a detection failure, according to the The configuration information is restarted, and the process to be detected corresponding to the detection result is restarted, and the process to be detected is detected after the restart is completed. Alternatively, the restarting submodule is configured to be configured according to the detection result being abnormal or detecting failure. The configuration information restarts the entire system.

The detection module includes: a second detection submodule configured to perform parallel detection on a plurality of processes to be detected running in the system in a first monitoring period; the obtaining module includes: a first acquiring submodule And configured to acquire a detection result and configuration information of a process to be detected that performs a detection operation in a second monitoring period; the second monitoring period is a next period of the first monitoring period.

In order to ensure the normal operation of the system and the monitoring, the detecting module comprises: a third detecting submodule, It is configured to separately detect each to-be-detected process according to a monitoring period and a detection period of each to-be-detected process; the detection period is an integer multiple of the monitoring period.

Corresponding to the flexible adding or deleting the detected process, the detecting module includes: a second acquiring submodule configured to acquire detection information of the process to be detected; and a fourth detecting submodule configured to perform the system according to the detecting information Parallel detection is performed by multiple processes to be detected running in the process.

The detection information includes the identity of the process to be detected.

The implementation examples of the multi-process monitoring method described above are applicable to the embodiment of the multi-process monitoring device, and can achieve the same technical effect.

In order to solve the above technical problem, the embodiment of the present disclosure further provides a multi-process service system, including: the multi-process monitoring device described above.

The implementation examples of the multi-process monitoring device are applicable to the embodiment of the multi-process service system, and the same technical effects can be achieved.

Embodiments of the present disclosure also provide a non-transitory computer readable storage medium storing computer executable instructions arranged to perform the method of any of the above embodiments.

The embodiment of the present disclosure further provides a schematic structural diagram of an electronic device. Referring to FIG. 5, the electronic device includes:

At least one processor 50, which is exemplified by a processor 50 in FIG. 5; and a memory 51, may further include a communication interface 52 and a bus 53. The processor 50, the communication interface 52, and the memory 51 can complete communication with each other through the bus 53. Communication interface 52 can be used for information transmission. Processor 50 can invoke logic instructions in memory 51 to perform the methods of the above-described embodiments.

Furthermore, the logic instructions in the memory 51 described above may be implemented in the form of software functional units and sold or used as separate products, and may be stored in a computer readable storage medium.

The memory 51 is used as a computer readable storage medium for storing software programs, computer executable programs, and program instructions/modules corresponding to the methods in the embodiments of the present disclosure. Processor 50 runs through The software program, the instructions, and the modules stored in the memory 51 perform function application and data processing, that is, implement the multi-process monitoring method in the above method embodiments.

The memory 51 may include a storage program area and an storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may store data created according to use of the terminal device, and the like. Further, the memory 51 may include a high speed random access memory, and may also include a nonvolatile memory.

The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product stored in a storage medium, including one or more instructions for causing a computer device (which may be a personal computer, a server, or a network) The device or the like) performs all or part of the steps of the method described in the embodiments of the present disclosure. The foregoing storage medium may be a non-transitory storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and the like. A medium that can store program code, or a transitory storage medium.

It should be noted that many of the functional components described in this specification are referred to as modules/sub-modules to more particularly emphasize the independence of their implementation.

In embodiments of the present disclosure, modules/sub-modules may be implemented in software for execution by various types of processors. For example, an identified executable code module can comprise one or more physical or logical blocks of computer instructions, which can be constructed, for example, as an object, procedure, or function. Nonetheless, the executable code of the identified modules need not be physically located together, but may include different instructions stored in different bits that, when logically combined, constitute a module and implement the functionality of the module. .

In practice, the executable code module can be a single instruction or a plurality of instructions, and can even be distributed across multiple different code segments, distributed among different programs, and distributed across multiple memory devices. As such, operational data may be identified within the modules and may be implemented in any suitable form and organized within any suitable type of data structure. The operational data may be collected as a single data set, or may be distributed at different locations (including on different storage devices), and may at least partially exist as an electronic signal on a system or network.

When the module can be implemented by software, considering the level of the related hardware process, the module can be implemented in software, and the technician can construct the corresponding hardware circuit to realize the corresponding function without considering the cost. The hardware circuits include conventional Very Large Scale Integration (VLSI) circuits or gate arrays and related semiconductors such as logic chips, transistors, or other discrete components. The modules can also be implemented with programmable hardware devices such as field programmable gate arrays, programmable array logic, programmable logic devices, and the like.

The above is an embodiment of the present disclosure, and it should be noted that those skilled in the art can also make several improvements and refinements without departing from the scope of the embodiments of the present disclosure. It is considered to be the scope of protection of the present disclosure.

Industrial applicability

The multi-process monitoring method, device and service system provided by the present application make the detection items diversified, the detection process and result collection of the entire system are not blocked, and are easy to expand (the detection process can be flexibly added or deleted).

Claims

A multi-process monitoring method comprising:

Perform parallel detection on multiple processes to be detected running in the system;

If there is an unfinished detection operation within the preset duration, the detection operation is stopped, and the detection result of the process to be detected corresponding to the detection operation is obtained.
The method of claim 1 wherein said step of performing parallel detection of a plurality of processes to be detected running in the system comprises:

Start and initialize the system;

After the system is initialized, parallel detection is performed on multiple processes to be detected running in the system.
The method of claim 1, wherein the step of obtaining a detection result of the process to be detected corresponding to the detecting operation comprises:

A detection result of the detection process abnormality or the detection failure corresponding to the detection operation corresponding to the detection operation is obtained.
The method of claim 1 further comprising:

Obtaining a detection result and configuration information of a process to be detected that performs a detection operation;

Performing a corresponding processing operation on the to-be-detected process according to the detection result and the configuration information.
The method of claim 4, wherein the step of performing a corresponding processing operation on the process to be detected according to the detection result and the configuration information comprises:

When the detection result is the detection abnormality or the detection failure, the process to be detected corresponding to the detection result is restarted according to the configuration information, and the process to be detected is detected after the restart is completed; or

When the detection result is a detection abnormality or a detection failure, the entire system is restarted according to the configuration information.
The method of claim 4 wherein said step of performing parallel detection of a plurality of processes to be detected running in the system comprises:

Performing parallel detection on multiple processes to be detected running in the system during the first monitoring period;

The step of acquiring the detection result and the configuration information of the process to be detected that performs the detecting operation includes:

Obtaining a detection result and configuration information of a process to be detected that performs a detection operation in a second monitoring period;

The second monitoring period is the next period of the first monitoring period.
The method of claim 1 wherein said step of performing parallel detection of a plurality of processes to be detected running in the system comprises:

Detecting each process to be detected separately according to the monitoring period and the detection period of each process to be detected;

The detection period is an integer multiple of the monitoring period.
The method of claim 1 wherein said step of performing parallel detection of a plurality of processes to be detected running in the system comprises:

Obtaining detection information of the process to be detected;

Performing parallel detection on a plurality of processes to be detected running in the system according to the detection information.
A multi-process monitoring device comprising:

a detection module configured to perform parallel detection on a plurality of processes to be detected running in the system;

The processing module is configured to stop the detecting operation if the detecting operation is not completed within the preset duration, and obtain a detection result of the to-be-detected process corresponding to the detecting operation.
A multi-process service system comprising: the multi-process monitoring device of claim 9.
A non-transitory computer readable storage medium storing computer executable instructions arranged to perform the method of any of claims 1-8.