A Specific Risk Evaluation System for Live Virtual Machine Migration Based on the Uncertain Theory

被引：0

作者：

Zhou, Hang ^{[1
,2
]}

Zhu, Xinying ^{[2
]}

Wang, Jian ^{[1
]}

机构：

[1] Beihang Univ, Hangzhou Innovat Inst, Hangzhou 310051, Zhejiang, Peoples R China

[2] Zhoukou Normal Univ, Dept Engn Network, Zhoukou 466001, Henan, Peoples R China

来源：

SCIENTIFIC PROGRAMMING | 2021年 / 2021卷

基金：

中国国家自然科学基金;

关键词：

CLOUD; CONSOLIDATION;

D O I：

10.1155/2021/6784419

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Benefiting from the convenience of virtualization, virtual machine migration is generally utilized to fulfil optimization objectives in cloud/edge computing. However, live migration has certain risks and unapt decision may lead to side effects and performance degradation. Leveraging modified deep Q network, this paper provided an advanced risk evaluation system. Thorough formulation was given in this paper and a specific integration method was innovated based on uncertain theory. Series experiments were carried on computing cluster with OpenStack. The experimental results showed deep Q network for risk system was reliable while the uncertain approach was a proper way to deal with the risk integration.

引用

页数：9

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