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

Hang Zhou | Zendy; Xinying Zhu | Zendy; Jian Wang | Zendy

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

Author(s) -

Hang Zhou,

Xinying Zhu,

Jian Wang

Publication year - 2021

Publication title -

scientific programming

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.269

H-Index - 36

eISSN - 1875-919X

pISSN - 1058-9244

DOI - 10.1155/2021/6784419

Subject(s) - virtualization , computer science , cloud computing , virtual machine , live migration , enhanced data rates for gsm evolution , distributed computing , risk analysis (engineering) , artificial intelligence , operating system , medicine

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.

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