CN107689877B - Parameter adjusting method and device - Google Patents
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- CN107689877B CN107689877B CN201610631164.3A CN201610631164A CN107689877B CN 107689877 B CN107689877 B CN 107689877B CN 201610631164 A CN201610631164 A CN 201610631164A CN 107689877 B CN107689877 B CN 107689877B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0813—Configuration setting characterised by the conditions triggering a change of settings
- H04L41/0816—Configuration setting characterised by the conditions triggering a change of settings the condition being an adaptation, e.g. in response to network events
Abstract
The embodiment of the invention provides a parameter adjusting method and a device, wherein the method comprises the following steps: setting a plurality of adjustable configuration ranges for each parameter related to the operation stability of the system, combining the adjustable configuration ranges of the parameters to respectively and correspondingly form a plurality of parameter adjustment strategies, and forming a parameter adjustment strategy team by the plurality of parameter adjustment strategies; and when the frequency of the stability events is greater than a preset first threshold of historical distribution, executing the parameter adjustment strategies in the parameter adjustment strategy team. The device comprises: a stability event monitoring module and a stability improvement enforcement module. The invention sets a plurality of adjustable configuration ranges for the parameters of the system, so that the system selects a proper parameter configuration range in different operating environments, the stability of the system is improved, and the system crash and fault analysis process is simplified.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a parameter adjusting method and device.
Background
Along with the popularization of computers, the computer is an indispensable part in life and work of people. During the operation of the computer, dead halt and operation failure often occur due to instability of the system.
At present, the system operation parameters are configured according to ranges, such as CPU core voltage or frequency, and can be changed within a specified range according to load and temperature so as to adjust the stability of the system, but because the configuration range is fixed, the parameters are often in side effect in the modification process, and are not suitable for all machines and all system operation environments.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, an object of the present invention is to provide a method and an apparatus for adjusting parameters, which are suitable for different machines and different system operating environments.
The parameter adjusting method provided by the embodiment of the invention comprises the following steps:
setting a plurality of adjustable configuration ranges for each parameter related to the operation stability of the system, combining the adjustable configuration ranges of the parameters to respectively and correspondingly form a plurality of parameter adjustment strategies, and forming a parameter adjustment strategy team by the plurality of parameter adjustment strategies;
and when the frequency of the stability events is greater than a preset first threshold of historical distribution, executing the parameter adjustment strategies in the parameter adjustment strategy team.
The above-mentioned process, wherein,
when the frequency of the stability event is greater than a preset first threshold of historical distribution, the step of executing the parameter adjustment strategy in the parameter adjustment strategy team comprises the following steps:
when the frequency of the stability event is less than a preset second threshold of historical distribution, recording the corresponding relation between the current context feature identifier of the system and the parameter adjustment strategy;
when the frequency of the stability event is greater than the first threshold of the historical distribution, judging whether the current context feature identifier of the system is partially matched with the context feature identifier in the corresponding relation of the records;
if the matching is partial, executing the corresponding parameter adjustment strategy in the corresponding relation, and if the matching is not partial, executing the parameter adjustment strategy in the parameter adjustment strategy team.
The above method, wherein, when the frequency of the occurrence of the stability event is less than a preset second threshold of the historical distribution, the step of recording the correspondence between the current context feature identifier of the system and the parameter adjustment policy further includes:
and the similar machines share the corresponding relation between the context feature identification and the parameter adjusting strategy.
In the method, the adjustment strategies in the parameter adjustment strategy team are preset with a priority order.
In the method, the priority order of the adjustment strategies in the parameter adjustment strategy team is updated according to the improvement of the parameter adjustment strategies on the system stability.
The method, wherein the configuration range of each parameter setting is a discrete value or a range value.
The method, wherein each parameter adjustment strategy is an adjustment for at least one parameter.
The embodiment of the present invention further provides a parameter adjusting apparatus, where in a system to which the apparatus is applied, each parameter related to the system operation stability is preset with a plurality of adjustable configuration ranges, and the adjustable configuration ranges of the parameters are combined to respectively form a plurality of parameter adjustment strategies, and the plurality of parameter adjustment strategies form a parameter adjustment strategy team, where the apparatus includes: the stability monitoring system comprises a stability event monitoring module and a stability improvement implementation module, wherein the stability event monitoring module is used for monitoring stability events and the occurrence frequency thereof, and triggering the stability improvement implementation module to work when the occurrence frequency of the stability events is greater than a preset first threshold of historical distribution, and the stability improvement implementation module is used for implementing a parameter adjustment strategy.
The device further includes a conditional measure library, the conditional measure library is connected to the stability improvement implementation module, the stability event monitoring module is further configured to monitor whether the frequency of the stability event is smaller than a preset second threshold of historical distribution, and when the frequency of the stability event is smaller than the preset second threshold of historical distribution, send the corresponding relationship between the context feature identifier currently running in the system and the parameter adjustment policy to the conditional measure library.
The stability improvement implementation module is further provided with a matching module, when the frequency of the stability event is greater than a preset first threshold of historical distribution, the matching module matches the context feature identifier of the system with the context feature identifier recorded in the conditional measure library, if the context feature identifier of the system is partially matched with the context feature identifier recorded in the conditional measure library, the stability improvement implementation module executes a corresponding parameter adjustment strategy in the conditional measure library, and if the context feature identifier of the system is not partially matched with the context feature identifier recorded in the conditional measure library, the stability improvement implementation module executes the parameter adjustment strategy in the parameter adjustment strategy team.
The device further comprises an alarm module, wherein the alarm module is electrically connected with the stability improvement implementation module and the stability event monitoring module respectively, the stability improvement implementation module is further used for sending the execution condition of the parameter adjustment strategy to the alarm module, and when all the parameter adjustment strategies are executed, the stability event still occurs, and then the alarm module gives an alarm.
The device further includes a data sharing module, where the data sharing module is configured to receive a correspondence between the context feature identifier and the parameter adjustment policy uploaded by the conditional measure library, and share the correspondence with other similar machines.
The embodiment of the invention sets a plurality of adjustable configuration ranges for the parameters of the system, combines the adjustable configuration ranges of the parameters, respectively and correspondingly forms a plurality of parameter adjustment strategies, sets a first threshold of historical distribution for events influencing the stability of the system, and adjusts the configuration ranges of the parameters of the system when the thresholds are reached, so that the system selects a proper parameter configuration range in different operating environments, the stability of the system is improved, and the crash and fault analysis process of the system is simplified.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of a parameter adjustment method according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a parameter adjustment method according to a second embodiment of the present invention;
fig. 3 is a block diagram of a parameter adjustment apparatus according to a fifth embodiment of the present invention;
fig. 4 is a block diagram of a parameter adjustment apparatus according to a sixth embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
Example 1
Referring to fig. 1, a parameter adjusting method according to a first embodiment of the present invention is shown in fig. 1, and the method includes steps S10 and S30.
Step S10, setting a plurality of adjustable configuration ranges for each parameter related to the system operation stability, combining the adjustable configuration ranges of the parameters to respectively form a plurality of parameter adjustment strategies, and forming a parameter adjustment strategy team by the plurality of parameter adjustment strategies. One parameter adjustment strategy may be adjustment of one parameter in one configuration range, or adjustment of multiple parameters in respective one configuration range at the same time. The configuration range of each parameter setting is a discrete value or a range value.
And step S30, when the frequency of the stability event is greater than a preset first threshold of historical distribution, executing the parameter adjustment strategy in the parameter adjustment strategy team.
And the adjustment strategies in the parameter adjustment strategy team preset a priority order, and execute the parameter adjustment strategies according to the preset priority order. In the parameter adjustment strategy execution process, the priority order is updated according to the improvement size of the system stability, and the higher the system stability is, the higher the priority of the corresponding parameter adjustment strategy is.
In the embodiment, a plurality of adjustable configuration ranges are set for parameters of a system, the adjustable configuration ranges of the parameters are combined, a plurality of parameter adjustment strategies are correspondingly formed respectively, a first threshold of historical distribution is set for a stability event of the system, and when the threshold is reached, the configuration ranges of the parameters are adjusted, so that the system selects a proper parameter configuration range in different operating environments, the stability performance of the system is improved, and the crash and fault analysis processes of the system are simplified.
Example 2
Referring to fig. 2, a parameter adjusting method according to a second embodiment of the present invention is a further improvement of the first embodiment, and as shown in fig. 2, the method includes the following steps:
step S10, setting a plurality of adjustable configuration ranges for each parameter related to the system operation stability, combining the adjustable configuration ranges of the parameters to respectively and correspondingly form a plurality of parameter adjustment strategies, and forming a parameter adjustment strategy team by the plurality of parameter adjustment strategies;
step S20, when the frequency of the stability event is less than the second threshold of the historical distribution, recording the corresponding relation between the current context feature identification of the system and the parameter adjustment strategy;
step S301, when the frequency of the stability event is greater than the first threshold of the historical distribution, judging whether the current context feature identifier of the system is partially matched with the context feature identifier recorded in the step S20;
step S302, if there is partial matching, executing the corresponding parameter adjustment strategy in the corresponding relation, if there is no partial matching, executing the parameter adjustment strategy in the parameter adjustment strategy team.
In this embodiment, the second threshold of the historical distribution is a threshold for determining the stability of the system. And when the frequency of the occurrence of the stability event is less than the second threshold of the historical distribution, the system is relatively stable. Recording the corresponding relation between the context feature identification and the parameter adjustment strategy when the system is stable, namely recording the corresponding relation between the environment feature of the system operation and the adjustment strategy. When a stability event occurs, the context feature identifier of the system is matched with the context feature identifier recorded when the system is stable, and when partial matching exists, the system environment is partially the same as the environment recorded when the system is stable, so that the parameters can be adjusted by referring to the corresponding parameter adjustment strategy, the times of the parameter adjustment strategy are reduced, and the system stability improvement efficiency is improved. The context signatures when the system is stable and the context signatures when a stability event occurs are not completely matched, only partially matched or not matched. And when no part of the parameters are matched, namely the parameters are not matched completely, restoring the parameters to a preset configuration range, and adjusting according to a parameter adjustment strategy in a preset parameter adjustment strategy team.
As a modification of the second embodiment of the present invention, in another example of the present invention, the step S20 is followed by a step S21:
and step S21, sharing the corresponding relation between the context feature identifier and the parameter adjustment strategy among similar machines. When other similar machines have stability events, the shared parameter adjustment strategy can be used, and the system stability improvement efficiency is improved.
As another modification of the second embodiment of the present invention, in another example of the present invention, after the step S302, the method further includes:
step S303, when all the parameter adjustment policies are implemented and a stability event still occurs, an alarm is issued. And when all the parameter adjustment strategies are implemented, a stability event still occurs, which indicates that the parameter adjustment strategies are invalid, and then an alarm is sent to remind a worker to maintain.
The stability events of the system can be classified into a system class, an application class, a load class, and the like according to the attributes of the system. The system classes are for example: kernel space instruction access exception, kernel space data access exception, kernel space capture unrecoverable exception, and the like; the application-class event is, for example, a user-space instruction access exception, a user-space data access exception, or the like. In addition, the stability event can also be extended to some events that affect the user experience, such as CPU occupancy, network traffic occupancy, etc.
The occurrence of stability events in a system is caused by a variety of factors, and can generally be improved by adjusting the operating parameters of the system within a suitable configuration range. The operation parameters of the system are, for example, the operating voltage of the CPU core, the sleep voltage of the CPU core, the normal percentage of the occupancy of the application CPU in unit time, the black list of the application program, and the like. Examples 3 and 4 below, some ways of illustrating the principles of embodiments of the present invention in particular, in terms of a certain type of stability event, will be described. It should be understood, however, that the scope of embodiments of the present invention is not so limited.
Example 3
The third embodiment of the present invention is specifically described by taking a stability event in a system class as an example. The parameter adjusting method provided by the present embodiment includes the following steps.
S101, presetting a plurality of adjustable configuration ranges for each parameter related to the operation stability of the system. For example, the adjustable configuration range of the CPU core working voltage is 1.05v-1.15,1.15-1.25v,1.25-1.35, and the configuration range is increased by 0.1v at intervals; the configuration range of the adjustable sleep voltage of the CPU core is 500mv-600mv, 600mv-700mv, and the configuration range is increased by 100mv interval.
And S102, combining the adjustable configuration ranges of the parameters to respectively form a plurality of parameter adjustment strategies correspondingly, wherein the plurality of parameter adjustment strategies form a parameter adjustment strategy team. In this embodiment, the parameter adjustment policy group includes 4 parameter adjustment policies, and according to the preset priority order, the corresponding parameters and the configuration ranges of the parameters are respectively: the configuration range of the working voltage of the CPU core is 1.05v-1.15, and the configuration range of the sleep voltage of the CPU core is 500mv-600 mv; the configuration range of the working voltage of the CPU core is 1.15-1.25v, and the configuration range of the sleep voltage of the CPU core is 500mv-600 mv; the configuration range of the working voltage of the CPU core is 1.25-1.35, and the configuration range of the sleep voltage of the CPU core is 500mv-600 mv; the configuration range of the working voltage of the CPU core is 1.25-1.35, and the configuration range of the sleep voltage of the CPU core is 600mv-700 mv. And in the parameter adjustment strategy execution process, updating the priority sequence in real time according to the improvement of the system stability, wherein the higher the system stability is, the higher the corresponding parameter adjustment strategy priority is.
And S103, when the frequency of the stability events is greater than a preset first threshold of historical distribution, executing a parameter adjustment strategy in the parameter adjustment strategy team. In this embodiment, the first threshold of the historical distribution of the system class stability event is that the number of occurrences in 7 days is greater than or equal to two.
In this embodiment, the configuration range of the CPU core operating voltage and the configuration range of the CPU core sleep voltage for maintaining the system stability are found by sequentially performing the implementation of parameter adjustment errors.
Example 4
The fourth embodiment of the present invention is a further improvement of the third embodiment, and the method of the present embodiment includes steps S201 to S206.
S201, presetting a plurality of adjustable configuration ranges for each parameter related to the operation stability of the system. For example, the adjustable configuration range of the CPU core working voltage is 1.05v-1.15,1.15-1.25v, 1.25-1.35; the configuration range of the adjustable sleep voltage of the CPU core is 500mv-600mv, 600mv-700 mv.
S202, combining the adjustable configuration ranges of the parameters to respectively form a plurality of parameter adjustment strategies correspondingly, wherein the plurality of parameter adjustment strategies form a parameter adjustment strategy team. In this embodiment, the parameter adjustment policy group includes 4 parameter adjustment policies, and according to the preset priority order, the corresponding parameters and the configuration ranges of the parameters are respectively: the configuration range of the working voltage of the CPU core is 1.05v-1.15, and the configuration range of the sleep voltage of the CPU core is 500mv-600 mv; the configuration range of the working voltage of the CPU core is 1.15-1.25v, and the configuration range of the sleep voltage of the CPU core is 500mv-600 mv; the configuration range of the working voltage of the CPU core is 1.25-1.35, and the configuration range of the sleep voltage of the CPU core is 500mv-600 mv; the configuration range of the working voltage of the CPU core is 1.25-1.35, and the configuration range of the sleep voltage of the CPU core is 600mv-700 mv. In the parameter adjustment strategy execution process, the priority order is updated according to the improvement size of the system stability, and the higher the system stability is, the higher the priority of the corresponding parameter adjustment strategy is.
And S203, when the frequency of the stability event is less than a preset second threshold of historical distribution, recording the corresponding relation between the current context feature identifier of the system and the parameter adjustment strategy. The second threshold of the historical distribution in this embodiment is zero frequency of stability events within 100 hours of system operation.
And S204, when the frequency of the stability event is greater than the first threshold of the historical distribution, judging whether the current context feature identifier of the system is partially matched with the context feature identifier recorded in the step S203, if so, executing a corresponding parameter adjustment strategy in the corresponding relation, and if not, executing the parameter adjustment strategy in the parameter adjustment strategy team. In this embodiment, the first threshold of the historical distribution of the system class stability event is that the number of occurrences in 7 days is greater than or equal to two.
S205, the similar machines share the corresponding relation between the context feature identification and the parameter adjusting strategy.
And S206, when all the parameter adjustment strategies are implemented and the stability event still occurs, giving an alarm.
It should be noted that, in embodiments 3 and 4, the parameters related to the system operation stability are not limited to the CPU core operating voltage and the CPU core sleep voltage. The parameter adjustment strategies are not limited to the 4 mentioned in the embodiment, and a plurality of parameter adjustment strategies can be combined according to the configuration range of each parameter. And a historical distribution first threshold can be set separately for each stability event or the same historical distribution first threshold can be set for each type of stability event.
Example 5
A fifth embodiment of the present invention provides a parameter adjusting apparatus, where in a system to which the apparatus is applied, each parameter related to system operation stability is preset with a plurality of adjustable configuration ranges, and the adjustable configuration ranges of the parameters are combined to respectively and correspondingly form a parameter adjustment policy team composed of a plurality of parameter adjustment policies. Each parameter adjustment strategy is an adjustment for at least one parameter.
As shown in fig. 3, the apparatus includes: a stability event monitoring module 1, a stability improvement implementing module 2 and an alarm module 3. The stability event monitoring module 1 is electrically connected with the stability improvement implementation module 2, and the alarm module 3 is electrically connected with the stability event monitoring module 1 and the stability improvement implementation module 2.
The stability event monitoring module 1 is configured to monitor a stability event and a frequency of the stability event, and trigger the stability improvement implementing module 2 to operate when the frequency of the stability event is greater than a preset first threshold of historical distribution.
The stability improvement implementation module 2 is used for executing the parameter adjustment strategy and sending the execution condition of the parameter adjustment strategy to the alarm module 3. In this embodiment, the stability improvement implementation module is configured to execute the parameter adjustment policy in the parameter adjustment policy team. When all the parameter adjustment strategies are executed, the stability event monitoring module 1 still monitors the stability event, and then the alarm module gives an alarm.
In this embodiment, parameters of the system may be adjusted within a plurality of configuration ranges, and when a stability event of the system reaches a preset first threshold of historical distribution, the parameters are adjusted according to a parameter adjustment policy, so that the system selects an appropriate parameter configuration range in different operating environments, thereby improving the stability of the system and simplifying the system crash and crash analysis processes. And when all the parameter adjustment strategies are implemented, a stability event still occurs, which indicates that the parameter adjustment strategies are invalid, and then an alarm is sent to remind a worker to maintain.
Example 6
Referring to fig. 4, a block diagram of a parameter adjusting apparatus according to a sixth embodiment of the present invention is substantially the same as the apparatus according to the fifth embodiment, except that the apparatus further includes a conditional measure library 4 and a data sharing module 5, the stability event monitoring module 1 is further configured to monitor whether a frequency of occurrence of a stability event is less than a preset second threshold of historical distribution, and the stability improvement implementing module 2 is further provided with a matching module.
And when the frequency of the stability event is less than a preset second threshold of historical distribution, sending the corresponding relation between the currently running context feature identifier of the system and the parameter adjustment strategy to the conditional measure library 4, and storing the corresponding relation in the conditional measure library 4.
When the frequency of the stability event is greater than a preset first threshold of historical distribution, the matching module matches the context feature identifier of the system with the context feature identifier recorded in the conditional measure library 4, if the context feature identifier is partially matched, the stability improvement implementation module 2 executes the corresponding parameter adjustment strategy in the conditional measure library 4, and if the context feature identifier is not partially matched, the parameter adjustment strategy in the parameter adjustment strategy team is executed. The conditional policy team is stored in the conditional policy team module 6.
The conditional measure library 4 is further configured to send the stored correspondence between the context feature identifier and the parameter adjustment policy to the data sharing module 5. After receiving the information uploaded by the conditional measure library 4, the data sharing module 5 shares the corresponding relationship between the context feature identifier and the parameter adjustment strategy to other similar machines, and when the other similar machines have a stability event, the shared parameter adjustment strategy can be used.
In this embodiment, by setting the conditional measure library and the matching module, before implementing the parameter adjustment strategy in the parameter adjustment strategy team, the matching module matches the context feature identifier of the system with the context feature identifier recorded in the conditional measure library, if there is a partial match, executes the corresponding parameter adjustment strategy in the conditional measure library, and if there is no partial match, adjusts the parameter adjustment strategy according to the parameter adjustment strategy in the parameter adjustment strategy team, thereby reducing the number of times of parameter adjustment strategies and improving the system stability improvement efficiency.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (9)
1. A parameter adjustment method is characterized by comprising the following steps,
setting a plurality of adjustable configuration ranges for each parameter related to the operation stability of the system, combining the adjustable configuration ranges of the parameters to respectively and correspondingly form a plurality of parameter adjustment strategies, and forming a parameter adjustment strategy team by the plurality of parameter adjustment strategies;
when the frequency of the stability events is greater than a preset first threshold of historical distribution, executing a parameter adjustment strategy in the parameter adjustment strategy team;
when the frequency of the stability event is less than a preset second threshold of historical distribution, recording the corresponding relation between the current context feature identifier of the system and the parameter adjustment strategy;
when the frequency of the stability event is greater than the first threshold of the historical distribution, judging whether the current context feature identifier of the system is partially matched with the context feature identifier in the corresponding relation of the records;
if the partial matching exists, executing the corresponding parameter adjustment strategy in the corresponding relation, and if the partial matching does not exist, executing the parameter adjustment strategy in the parameter adjustment strategy queue;
the threshold value of the first threshold is larger than the threshold value of the second threshold.
2. The method of claim 1, wherein the step of recording the correspondence between the current context feature identifier of the system and the parameter adjustment policy when the frequency of the occurrence of the stability event is less than a preset second threshold of the historical distribution further comprises:
and the similar machines share the corresponding relation between the context feature identification and the parameter adjusting strategy.
3. The method according to any of claims 1 to 2, wherein the adaptation policies in the parameter adaptation policy team are pre-prioritized.
4. The method of claim 3, wherein the priority order of the adjustment policies in the parameter adjustment policy team is updated according to the magnitude of the improvement in system stability by the parameter adjustment policy.
5. The method of any of claims 1-2, wherein the configured range of each of the parameter settings is a discrete value or a range of values.
6. The method of any of claims 1-2, wherein each of the parameter adjustment policies is an adjustment for at least one parameter.
7. A parameter adjusting apparatus, wherein a plurality of adjustable configuration ranges are preset for each parameter related to the system operation stability in a system to which the apparatus is applied, and the adjustable configuration ranges of the parameters are combined to form a plurality of parameter adjusting strategies respectively and correspondingly, and the plurality of parameter adjusting strategies form a parameter adjusting strategy team, the apparatus comprising: the stability monitoring system comprises a stability event monitoring module and a stability improvement implementation module, wherein the stability event monitoring module is used for monitoring stability events and the occurrence frequency of the stability events, and triggering the stability improvement implementation module to work when the occurrence frequency of the stability events is greater than a preset first threshold of historical distribution, and the stability improvement implementation module is used for implementing a parameter adjustment strategy;
the device also comprises a conditional measure library, the conditional measure library is connected with the stability improvement implementation module, the stability event monitoring module is also used for monitoring whether the frequency of the stability event is smaller than a preset second threshold of historical distribution, and when the frequency of the stability event is smaller than the preset second threshold of historical distribution, the corresponding relation between the context feature identifier of the current operation of the system and the parameter adjustment strategy is sent to the conditional measure library;
the stability improvement implementation module is also provided with a matching module, when the frequency of the stability event is greater than a preset first threshold of historical distribution, the matching module matches a context feature identifier of a system with a context feature identifier recorded in the conditional measure library, if the context feature identifier is partially matched, the stability improvement implementation module executes a corresponding parameter adjustment strategy in the conditional measure library, and if the context feature identifier is not partially matched, the stability improvement implementation module executes a parameter adjustment strategy in the parameter adjustment strategy team;
the threshold value of the first threshold is larger than the threshold value of the second threshold.
8. The device of claim 7, further comprising an alarm module, wherein the alarm module is electrically connected to the stability improvement implementation module and the stability event monitoring module, respectively, the stability improvement implementation module is further configured to send execution conditions of the parameter adjustment policies to the alarm module, and when all the parameter adjustment policies are executed, the stability event still occurs, and the alarm module gives an alarm.
9. The apparatus of claim 7, further comprising a data sharing module, wherein the data sharing module is configured to receive a correspondence between the context feature identifier and a parameter adjustment policy uploaded by the conditional measure library, and share the correspondence to other similar machines.
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| WO2015070666A1 (en) * | 2013-11-18 | 2015-05-21 | 华为技术有限公司 | Method, device and system for adjusting target system performance |
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| WO2018023881A1 (en) | 2018-02-08 |
| CN107689877A (en) | 2018-02-13 |
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