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Method and system for predicting hardware events

A prediction method and event technology, applied in the field of cloud resource management, can solve the problems of high time series and many assumptions of ARIMA model

Inactive Publication Date: 2017-10-20
SHENZHEN INST OF ADVANCED TECH
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  • Claims
  • Application Information

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Problems solved by technology

[0011] However, compared with traditional time series analysis methods, the ARIMA model has higher requirements for time series and more assumptions

Method used

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  • Method and system for predicting hardware events
  • Method and system for predicting hardware events
  • Method and system for predicting hardware events

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Embodiment Construction

[0084] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0085] see figure 1 , is a flowchart of a method for predicting a hardware event according to an embodiment of the present application. The prediction method of the hardware event of the embodiment of the present application comprises the following steps:

[0086] Step 100: using performance counters to collect multi-dimensional hardware events in the cloud environment;

[0087] In step 100, the embodiment of the present application collects hardware event data through a performance counter. The performance counter is essentially a register, so it has the advantages of real-time and low ...

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Abstract

The present application relates to the technical field of cloud resource management, and more particularly to a method and a system for predicting hardware events. The method for predicting the hardware events comprises: step a: collecting multi-dimensional hardware events in the cloud environment by using a performance counter, and determining a target hardware event according to the multi-dimensional hardware events; step b: analyzing the time series of the target hardware event, and establishing an HMM model through the time series of the target hardware event; and step c: calculating the usage of the target hardware event at the next time through the HMM model, and completing the prediction of the target hardware event. According to the method and system provided by the present application, performance data of the hardware event is collected in the cloud environment by using the performance counter, and the change pattern of the hardware event is observed through the HHM model, so that the usage of each underlying hardware resource on the cloud platform is predicted, the operator can release or supplement the resources on the cloud platform in time in a facilitated manner, and optimal allocation of cloud resources is realized.

Description

technical field [0001] The present application relates to the technical field of cloud resource management, and in particular to a method and system for predicting hardware events. Background technique [0002] With the development of cloud computing, virtualized data centers, as the core of computing and storage, have encountered many problems and challenges in operation and maintenance management, such as low cloud resource utilization and high energy consumption costs, all of which are brought about by cloud resource allocation. difficult. In addition, the load application on the cloud changes in real time, and the usage of cloud resources will also change accordingly. When to replenish resources, when to release resources, and provide cloud resources to cloud users reasonably have become key issues to be solved in virtualized data centers. Therefore, predicting changes in the underlying resources of the cloud platform in the future, discovering resource bottlenecks in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/30
CPCG06F11/3006G06F11/3051
Inventor 吕依蓉喻之斌须成忠
Owner SHENZHEN INST OF ADVANCED TECH
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