A cloud platform energy consumption optimization management method based on a fireworks algorithm

A technology of fireworks algorithm and management method, applied in the field of energy consumption optimization of cloud computing platform, can solve problems such as high energy consumption

Pending Publication Date: 2019-04-12
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, the execution power and response time of the same image processing task on the CPU and GPU are different, and the total energy consumption generated after the task is executed is also different. Therefore, when the energy consumption factor is not considered, the unmatched scheduling method will cause : The problem can be solved with lower energy consumption, but higher energy consumption is used

Method used

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  • A cloud platform energy consumption optimization management method based on a fireworks algorithm
  • A cloud platform energy consumption optimization management method based on a fireworks algorithm
  • A cloud platform energy consumption optimization management method based on a fireworks algorithm

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Embodiment 1

[0065] A cloud platform energy optimization management method based on fireworks algorithm, comprising the following steps:

[0066] S1: Set algorithm parameters and randomly generate scale fireworks

[0067] S2: Judging whether the number of iterations is less than the maximum number of cycles and the optimization solution keeps evolving, if the result is yes, go to step S3, if the result is no, go to step S10;

[0068] S3: by calculate fitness value;

[0069] S4: Calculate the number S of sparks generated by each firework i and the explosion amplitude A of sparks generated by each firework i ;

[0070] Number of sparks S i and explosion amplitude A i The calculation method is as follows:

[0071] for fireworks x i , its explosion amplitude A i and the number of sparks S i The calculation formulas are

[0072]

[0073]

[0074] Where: y min =min(f(x i )), (i=1,2,…,N) is the minimum fitness value in the current fireworks population, y max =max(f(x i )...

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Abstract

The invention discloses a cloud platform energy consumption optimization management method based on a fireworks algorithm, and on the basis of the fireworks algorithm, load balance, performance and energy consumption of each device in a cloud computing platform are combined, so that the overall energy consumption of the cloud computing platform is reduced, and meanwhile, the computing capability of the cloud computing platform is ensured.

Description

technical field [0001] The present invention relates to the field of cloud computing platform energy consumption optimization, and more specifically, to a cloud platform energy consumption optimization management method based on fireworks algorithm. Background technique [0002] At present, cloud computing, as a new type of computing method, has rapidly become a research hotspot in academia and industry due to its advantages of high scalability and high availability. For example, Google launched the Google Application Engine (Google App Engine, GAE for short), IBM launched the blue cloud computing platform, and Amazon launched the elastic computing cloud (elastic compute cloud, EC2 for short). However, there are still many challenges to realize a low-cost, high-efficiency, safe, and easy-to-use cloud computing system. Among them, high energy consumption is one of the most serious problems in cloud computing systems. For example, the energy consumption generated by a Google ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06K9/62
CPCG06F9/505G06F18/2135Y02D10/00
Inventor 钟光正陈平华
Owner GUANGDONG UNIV OF TECH
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