WO2018023881A1 - Procédé et dispositif de réglage de paramètre et support de stockage informatique - Google Patents

Procédé et dispositif de réglage de paramètre et support de stockage informatique Download PDF

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Publication number
WO2018023881A1
WO2018023881A1 PCT/CN2016/102189 CN2016102189W WO2018023881A1 WO 2018023881 A1 WO2018023881 A1 WO 2018023881A1 CN 2016102189 W CN2016102189 W CN 2016102189W WO 2018023881 A1 WO2018023881 A1 WO 2018023881A1
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Prior art keywords
parameter adjustment
stability
parameter
module
threshold
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PCT/CN2016/102189
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English (en)
Chinese (zh)
Inventor
谢军
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中兴通讯股份有限公司
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Publication of WO2018023881A1 publication Critical patent/WO2018023881A1/fr

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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
    • 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

Definitions

  • the present invention relates to the field of computer technologies, and in particular, to a parameter adjustment method and apparatus, and a computer storage medium.
  • the system operating parameters are configured according to the range.
  • the central processing unit CPU, Central Processing Unit
  • nuclear voltage or frequency changes according to the load and temperature within a specified range to adjust the stability of the system, but due to the fixed range of configuration, Parameters often have side effects during the modification process and are not applicable to all machines and all system operating environments.
  • an embodiment of the present invention aim to at least solve one of the technical problems existing in the prior art.
  • an embodiment of the present invention provides a parameter adjustment method, apparatus, and computer storage medium suitable for use in different machines and different system operating environments.
  • the parameter adjustment strategy in the parameter adjustment strategy team is executed.
  • the step of performing the parameter adjustment strategy in the parameter adjustment strategy team includes:
  • the corresponding parameter adjustment strategy in the corresponding relationship is executed. If there is no partial match, the parameter adjustment strategy in the parameter adjustment strategy team is executed.
  • the step of recording the correspondence between the current context feature identifier of the system and the parameter adjustment policy includes:
  • each of the parameter adjustment policies is an adjustment policy for at least one parameter.
  • An embodiment of the present invention further provides a parameter adjustment device, wherein each parameter related to the operational stability of the system is pre-configured with a plurality of adjustable configuration ranges for each of the parameters.
  • the adjustable configuration ranges are combined to form a plurality of parameter adjustment strategies, and the plurality of parameter adjustment strategies form a parameter adjustment strategy team, and the device includes: a stability event monitoring module and a stability improvement implementation module.
  • the stability event monitoring module is configured to monitor a stability event and a frequency thereof, and trigger the stability improvement implementation module to work when the frequency at which the stability event occurs is greater than a first threshold of a historical distribution.
  • the stability improvement implementation module is configured to implement a parameter adjustment strategy.
  • the device wherein the device further includes a conditional measure library, the condition measure library is connected to the stability improvement implementation module, and the stability event monitoring module is further configured to monitor whether the frequency of the stability event occurs is less than The second threshold of the preset historical distribution, and when the frequency of the stability event is less than the second threshold of the preset historical distribution, the corresponding relationship between the context feature identifier of the current running of the system and the parameter adjustment policy is sent to the The conditional measure library.
  • the stability improvement implementation module is further provided with a matching module.
  • the matching module records the context feature identifier of the system and the conditional measure library. The context feature identifier is matched. If there is a partial match, the stability improvement implementation module executes a corresponding parameter adjustment policy in the conditional measure library. If there is no partial match, the parameter adjustment strategy in the parameter adjustment strategy team is executed.
  • the device further includes an alarm module, wherein the alarm module is electrically connected to the stability improvement implementation module and the stability event monitoring module, respectively, and the stability improvement implementation module is further configured to: The execution of the adjustment policy is sent to the alarm module, and when all the parameter adjustment policies are executed, a stability event still occurs, and the alarm module issues an alarm.
  • the device further includes a data sharing module
  • 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 corresponding relationship to In other similar machines.
  • the embodiment of the invention further provides a computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions are used to execute the foregoing parameter adjustment method.
  • a plurality of adjustable configuration ranges are set for parameters of the system, and the adjustable configuration ranges of the respective parameters are combined, correspondingly forming multiple parameter adjustment strategies, and setting an event history event affecting system stability. Distribution of the first threshold, when the threshold is reached, the system The configuration range of the parameters is adjusted to enable the system to select an appropriate parameter configuration range in different operating environments, improve system stability, and simplify system crash and fault machine analysis.
  • 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 structural block diagram of a parameter adjustment apparatus according to a fifth embodiment of the present invention.
  • FIG. 4 is a second structural block diagram of a parameter adjustment apparatus according to a fifth embodiment of the present invention.
  • FIG. 5 is a structural block diagram of a parameter adjustment apparatus according to a sixth embodiment of the present invention.
  • FIG. 1 is a parameter adjustment method according to a first embodiment of the present invention. As shown in FIG. 1 , the method includes steps S10 and S30 .
  • Step S10 setting a plurality of adjustable configuration ranges for each parameter related to system operation stability, combining the adjustable configuration ranges of the respective parameters, and respectively forming corresponding multiple parameter adjustment strategies, where the multiple The parameter adjustment strategy constitutes a parameter adjustment strategy team.
  • a parameter adjustment strategy can be an adjustment of a parameter within a configuration range, or multiple parameters Make adjustments simultaneously within one of the respective configuration ranges.
  • the configuration range of each of the parameter settings is a discrete value or a range value.
  • step S30 when the frequency of the stability event is greater than the first threshold of the preset historical distribution, the parameter adjustment strategy in the parameter adjustment strategy team is executed.
  • the adjustment policy presets the priority order in the parameter adjustment policy team, and performs the parameter adjustment strategy according to the preset priority order.
  • the priority order is updated according to the size of the system stability improvement, and the greater the stability of the system is, the higher the priority of the corresponding parameter adjustment policy is.
  • a plurality of adjustable configuration ranges are set for the parameters of the system, and the adjustable configuration ranges of the respective parameters are combined, correspondingly forming multiple parameter adjustment strategies, and setting a historical distribution for the stability events of the system.
  • a threshold when the threshold is reached, adjusts the parameter configuration range, so that the system selects the appropriate parameter configuration range in different operating environments, improves the system stability performance, and simplifies the system crash and fault machine analysis process.
  • a parameter adjustment method is a one-step improvement based on the first embodiment. 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 system operation stability, combining the adjustable configuration ranges of the respective parameters, and respectively forming corresponding multiple parameter adjustment strategies, where the multiple The parameter adjustment strategy constitutes a parameter adjustment strategy team;
  • Step S20 When the frequency of occurrence of the stability event is less than the second threshold of the historical distribution, the correspondence between the current context feature identifier of the system and the parameter adjustment policy is recorded;
  • Step S301 when the frequency of occurrence of the stability event is greater than the first threshold of the historical distribution, determining whether the current context feature identifier of the system partially matches the context feature identifier recorded in the step S20;
  • Step S302 if there is a partial match, perform a corresponding parameter adjustment policy in the corresponding relationship. Slightly, if there is no partial match, the parameter adjustment strategy in the parameter adjustment strategy team is executed.
  • the second threshold of the historical distribution is a threshold for determining system stability.
  • the frequency of the stability event is less than the second threshold of the historical distribution, the system is relatively stable.
  • the correspondence between the context feature identifier and the parameter adjustment strategy when the system is stable is recorded, that is, the correspondence between the environment characteristics of the system operation and the adjustment strategy is recorded.
  • the context feature identifier of the system is matched with the context feature identifier recorded when the system is stable.
  • the environment of the system when the stability event occurs is the same as the environment recorded when the system is stable.
  • the parameter adjustment can be adjusted according to the corresponding parameter adjustment strategy, the number of parameter adjustment strategies is reduced, and the system stability improvement efficiency is improved.
  • the context feature identifier when the system is stable does not match the context feature identifier when the stability event occurs, and only partially matches or does not match at all.
  • the parameters are restored to the preset configuration range, and the parameter adjustment strategy in the policy team is adjusted according to the preset parameters.
  • the step S20 further includes a step S21:
  • Step S21 The correspondence between the context feature identifier and the parameter adjustment policy is shared between the same type of machines. When other similar machines have stability events, the shared parameter adjustment strategy can be used to improve system stability and improve efficiency.
  • the method further includes:
  • Step S303 when all the parameter adjustment strategies are implemented, and a stability event still occurs, an alarm is issued.
  • a stability event still occurs indicating that the parameter adjustment strategy is invalid, and an alarm is issued to alert the staff to perform maintenance.
  • System stability events can be divided into system class, application class, load class, etc. according to their attributes.
  • System classes are: kernel space instruction access exception, kernel space data access exception, kernel space capture unrecoverable exception, etc.
  • application class events are, for example, user space instruction access exception, user empty Abnormal data access, etc.
  • stability events can be extended to events that affect the user experience, such as CPU occupancy, network traffic, and so on.
  • the occurrence of stability events in the system is caused by a variety of factors, which can generally be adjusted by adjusting the operating parameters of the system within a suitable configuration range.
  • the operating parameters of the system are, for example, the CPU core operating voltage, the CPU core sleep voltage, the normal percentage of the applied CPU occupancy per unit time, and the application blacklist.
  • the third embodiment of the present invention is specifically described by taking a stability event in the system class as an example.
  • a parameter adjustment method provided by the implementation includes the following steps.
  • the CPU core operating voltage adjustable configuration range is 1.05v-1.15v, 1.15v-1.25v, and 1.25v-1.35v, and its configuration range is incremented by 0.1v;
  • the CPU core sleep voltage adjustable configuration range is 500mv. -600mv and 600mv-700mv, the configuration range is increased by 100mv.
  • the parameter adjustment strategy team includes four parameter adjustment strategies.
  • the corresponding parameters and parameter configuration ranges are: CPU core working voltage configuration range 1.05v-1.15v, CPU core
  • the configuration range of sleep voltage is 500mv-600mv; the configuration range of CPU core working voltage is 1.15v-1.25v, the configuration range of CPU core sleep voltage is 500mv-600mv; the configuration range of CPU core working voltage is 1.25v-1.35v, CPU core
  • the sleep voltage configuration range is 500mv-600mv; the CPU core operating voltage configuration range is 1.25v-1.35v, and the CPU core sleep voltage is configured from 600mv-700mv.
  • the priority order is updated in real time according to the improvement of the stability of the system, and the corresponding stability of the system is improved.
  • the number adjustment strategy has a higher priority
  • the first threshold of the historical distribution of system-type stability events in this embodiment is that the number of occurrences in 7 days is greater than or equal to two.
  • the configuration range of the CPU core operating voltage and the configuration range of the CPU core sleep voltage for maintaining the stability of the system are found by sequentially performing the implementation of the parameter adjustment strategy.
  • the fourth embodiment of the present invention is a further improvement based on the third embodiment, and the method of the present embodiment includes steps S201-S206.
  • the CPU core operating voltage adjustable configuration range is 1.05v-1.15v, 1.15v-1.25v and 1.25v-1.35v; the CPU core sleep voltage adjustable configuration range is 500mv-600mv and 600mv-700mv.
  • the corresponding parameters and parameter configuration ranges are: CPU core working voltage configuration range 1.05v-1.15v, CPU core
  • the configuration range of sleep voltage is 500mv-600mv; the configuration range of CPU core working voltage is 1.15v-1.25v, the configuration range of CPU core sleep voltage is 500mv-600mv; the configuration range of CPU core working voltage is 1.25v-1.35v, CPU core
  • the sleep voltage configuration range is 500mv-600mv; the CPU core operating voltage configuration range is 1.25v-1.35v, and the CPU core sleep voltage is configured from 600mv-700mv.
  • the priority order is updated according to the size of the system stability improvement, and the greater the stability of the system is, the higher the priority of the corresponding parameter adjustment policy is.
  • the system character identification AAA at this time is recorded, and the CPU core working voltage and the CPU core sleep voltage required for the system operation are read, and the read CPU is judged.
  • the core operating voltage and the CPU core sleep voltage value are within the range value indicated by the parameter adjustment policy of the four parameter adjustment policies, and the context feature identifier AAA at this time is recorded as a correspondence relationship with the parameter adjustment policy.
  • the parameter adjustment strategy when there is no partial matching, performs a parameter adjustment strategy in the parameter adjustment strategy team.
  • the first threshold of the historical distribution of system-type stability events in this embodiment is that the number of occurrences in 7 days is greater than or equal to two.
  • the context feature identifier of the system is read at this time, if the context feature identifier read at this time is recorded in step S203. If the context feature identifier has a partial match, the parameter adjustment policy is performed according to the recorded correspondence relationship.
  • the context feature identifier recorded in step S203 is AAA
  • the context feature identifier read at this time includes AAA
  • the configuration range of the voltage is 1.05v-1.15v and the configuration range of the CPU core sleep voltage is 500mv-600mv.
  • This parameter adjustment strategy is a correspondence, then the CPU core working voltage will be 1.05v-1.15v, and the CPU will be at 500mv-600mv.
  • the nuclear sleep voltage is adjusted. If there is no partial match, the parameter adjustment strategy is sequentially executed according to the priority in step S202 to find the configuration range of the CPU core operating voltage that maintains the system stability and the configuration range of the CPU core sleep voltage.
  • the parameters related to system operation stability are not limited to the CPU core operating voltage and the CPU core sleep voltage.
  • the parameter adjustment policy is not limited to the four mentioned in the embodiment, and may be combined into a plurality of parameter adjustment strategies according to the configuration range of each parameter.
  • a historical threshold first threshold may be set separately for each stability event or a same historical distribution first threshold may be set for each type of stability event.
  • the embodiment of the invention further provides a computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions are used to execute the foregoing parameter adjustment method.
  • a fifth embodiment of the present invention provides a parameter adjustment device.
  • each parameter related to system operation stability is pre-configured with a plurality of adjustable configuration ranges, and adjustable configurations for each parameter.
  • the ranges are combined to form a parameter adjustment strategy team composed of a plurality of parameter adjustment strategies.
  • Each parameter adjustment strategy is an adjustment for at least one parameter.
  • the device includes: a stability event monitoring module 1, a stability improvement implementation module 2, and a stability event monitoring module 1 and a stability improvement implementation module 2 are electrically connected.
  • the apparatus further includes an alarm module 3.
  • the alarm module 3 is electrically connected to the stability event monitoring module 1 and the stability improvement implementation module 2.
  • the stability event monitoring module 1 is configured to monitor the stability event and the frequency of occurrence thereof, and trigger the stability improvement implementation module 2 to work when the frequency at which the stability event is detected is greater than the first threshold of the preset historical distribution.
  • the stability improvement implementation module 2 is configured to execute a parameter adjustment policy and send the execution of the parameter adjustment policy to the alarm module 3.
  • the stability improvement implementation module 2 in this embodiment is configured to perform a parameter adjustment strategy in the parameter adjustment strategy team. When all the parameter adjustment strategies are executed, the stability event monitoring module 1 still detects the stability event, and the alarm module 3 issues an alarm.
  • the parameters of the system can be adjusted within a plurality of configuration ranges.
  • the stability event of the system reaches the first threshold of the preset historical distribution, the parameter adjustment is performed according to the parameter adjustment strategy, so that the system operates in different operations.
  • Select the appropriate parameter configuration range in the environment to improve system stability and simplify system crash and fault machine analysis.
  • a stability event still occurs, indicating that the parameter adjustment strategy is invalid, and an alarm is issued to alert the staff to perform maintenance.
  • FIG. 5 is a structural block diagram of a parameter adjustment apparatus according to a sixth embodiment of the present invention, which is substantially the same as the apparatus example provided in the fifth embodiment, except that the apparatus further includes a conditional measure library 4 And the data sharing module 5, the stability event monitoring module 1 is further configured to monitor whether the frequency of occurrence of the stability event is less than a second threshold of the preset historical distribution, and the stability improvement implementation module 2 is further provided with a matching module.
  • the corresponding relationship between the context feature identifier currently running in the system and the parameter adjustment policy is sent to the conditional measure library 4 and stored in the conditional measure library 4 .
  • the matching module matches the context feature identifier of the system with the context feature identifier recorded in the conditional measure library 4, such as partial matching, stability improvement implementation mode 2
  • the corresponding parameter adjustment policy in the conditional measure library 4 is executed. If there is no partial match, the parameter adjustment strategy in the parameter adjustment strategy team is executed.
  • the conditional strategy team is stored in the conditional strategy team module 6.
  • the conditional measure library 4 is further configured to send the correspondence between the stored context feature identifier and the parameter adjustment policy to the data sharing module 5.
  • the data sharing module 5 shares the correspondence between the context feature identifier and the parameter adjustment policy to other similar machines. When other similar machines have stability events, the shared parameter adjustment strategy can be used.
  • a parameter adjustment strategy team is implemented by setting a conditional measure library and a matching module.
  • the matching feature 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, the corresponding parameter adjustment strategy in the conditional measure library is executed, if there is no partial match, Then, according to the parameter adjustment strategy in the parameter adjustment strategy team, the number of parameter adjustment strategies is reduced, and the system stability improvement efficiency is improved.
  • the stability event monitoring module 1, the stability improvement implementation module 2, the alarm module 3, the conditional measure library 4, the data sharing module 5, and the conditional policy team module 6 can all be processed by a CPU or a digital signal (DSP). , Digital Signal Processor, or Microprocessor Unit (MPU), or Field Programmable Gate Array (FPGA).
  • DSP digital signal
  • MPU Microprocessor Unit
  • FPGA Field Programmable Gate Array

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
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  • Debugging And Monitoring (AREA)

Abstract

L'invention concerne un procédé et un dispositif de réglage de paramètres. Le procédé comprend : la définition d'une pluralité de plages de configuration réglables pour chaque paramètre lié à la stabilité de fonctionnement du système, la combinaison des plages de configuration réglables pour chaque paramètre et la formation correspondante d'une pluralité de stratégies de réglage de paramètres respectivement, la pluralité de stratégies de réglage de paramètres constituant une file d'attente de stratégie de réglage de paramètres (S10) ; et l'exécution d'une stratégie de réglage de paramètre dans la file d'attente de stratégie de réglage de paramètre lorsque la fréquence d'un événement de stabilité est supérieure à un premier seuil prédéfini dans une distribution historique (S30). Dans le procédé, par la définition d'une pluralité de plages de configuration réglables pour des paramètres d'un système, le système sélectionne des plages de configuration de paramètres appropriées dans différents environnements de fonctionnement, de sorte que la stabilité du système est améliorée et qu'un processus d'arrêt du système et d'analyse de défaillance est simplifié.
PCT/CN2016/102189 2016-08-03 2016-10-14 Procédé et dispositif de réglage de paramètre et support de stockage informatique WO2018023881A1 (fr)

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CN114003295A (zh) * 2021-10-15 2022-02-01 苏州浪潮智能科技有限公司 一种内存参数的设置方法、系统及装置

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