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Cloud data center post-disaster rapid evacuation method and system based on multi-objective optimization

A cloud data center, multi-objective optimization technology, applied in data processing applications, forecasting, instruments, etc., can solve the problems of not making full use of network transmission capacity, not considering the total evacuation flow and bandwidth allocation ratio, etc., to reduce the evacuation completion time , improve network utilization, and maximize the effect of space

Pending Publication Date: 2021-03-02
LINYI UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Existing research does not consider the two factors of total evacuation flow and bandwidth allocation ratio, and cannot make full use of network transmission capacity

Method used

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  • Cloud data center post-disaster rapid evacuation method and system based on multi-objective optimization
  • Cloud data center post-disaster rapid evacuation method and system based on multi-objective optimization
  • Cloud data center post-disaster rapid evacuation method and system based on multi-objective optimization

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Embodiment 1

[0029] This embodiment discloses a multi-objective optimization-based post-disaster rapid evacuation method for cloud data centers. The transmission optimization of cloud data center post-disaster evacuation is reduced to a multi-objective optimization problem, a reward vector for each objective is designed, and a marker based on heuristic information is used. Search to find the evacuation path set, adjust the bandwidth allocation to reduce the deviation between the bandwidth ratio and the data volume ratio, and use the Chebyshev scalar function based on roulette to quantify the Q value vector and the selection action. The Pareto approximation set is updated in each state step to approximate the optimal solution, and a better post-disaster evacuation scheme for cloud data centers is obtained in terms of reducing evacuation completion time, improving network utilization, and rationally allocating bandwidth.

[0030] The reduction of multi-objective optimization problem: maximize...

Embodiment 2

[0048] The purpose of this embodiment is to provide a computing device, including a memory, a processor, and a computer program stored in the memory and running on the processor. step.

Embodiment 3

[0050] The purpose of this embodiment is to provide a computer-readable storage medium.

[0051] A computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, executes the steps of the method in Embodiment 1.

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Abstract

The invention provides a cloud data center post-disaster rapid evacuation method and system based on multi-objective optimization, and the method comprises the steps of reducing the transmission optimization of the cloud data center post-disaster evacuation into a multi-objective optimization problem when a cloud data center is in a disaster, i.e., maximizing and reducing the total evacuation flowinto a first optimization objective, and taking minimization and reduction of bandwidth allocation proportion deviation as a second optimization target; and setting a reward vector of each target, searching for an evacuation path set by using mark search based on heuristic information, adjusting bandwidth allocation to reduce deviation between a bandwidth proportion and a data volume proportion,and obtaining an optimal solution through a multi-target reinforcement learning method to obtain a cloud data center post-disaster evacuation scheme. And meanwhile, the maximum total evacuation flow and the minimum bandwidth allocation deviation are considered, so that the utilization efficiency of the network transmission capability can be further improved.

Description

technical field [0001] The present disclosure belongs to the technical field of post-disaster evacuation transmission of cloud data centers, and in particular relates to a method and system for rapid post-disaster evacuation of cloud data centers based on multi-objective optimization. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Geographically distributed cloud data centers carry massive amounts of data and diverse applications, but also face the threat of various disasters (such as earthquakes, floods, storms, hurricanes, etc.). Recent statistics show that US companies lose as much as $700 billion annually due to data center failures. In order to avoid huge economic losses caused by various disasters, a post-disaster evacuation method for cloud data centers is urgently needed. [0004] For various disasters that threaten cloud data ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/265
Inventor 李晓乐武传坤李信利王华翟临博
Owner LINYI UNIVERSITY
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