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Algorithm Research & Explore
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3606-3613

Active fault-tolerant priority migration decision model for virtual machines based on attentional spatio-temporal convolution and A2C

Dang Weichao
Wu Tingyu
College of Computer Science & Technology, Taiyuan University of Science & Technology, Taiyuan 030024, China

Abstract

This paper proposed an active fault-tolerant priority migration decision model for virtual machines based on attentional spatio-temporal convolution and A2C(AST-A2C). This method improved reliability and adapted to volatile workloads in resource-constrained edge cloud computing environments. Firstly, it used a long short-term memory network(LSTM) with an attention mechanism to extract the temporal features in each host. It combined temporal features and interaction information between multiple hosts to build graph networks. Then it used graph attention network(GAT) to extract association information between different hosts in the network, and the association information would be used to encode the fault information of hosts. Next, it designed the A2C module to dynamically build models and continuously generate improved decisions, this module could combine fault code information and scheduling decision information for priority migration decision. It constructed adaptive loss functions to optimize scheduling decisions to meet different user QoS requirements and application settings. Experimental results show that the proposed model outperforms the state-of-the-art baseline in terms of fault detection, energy consumption, and delay sensitivity. It is ideal for improving the reliability of edge cloud computing.

Foundation Support

太原科技大学博士科研启动基金资助项目(20202063)
太原科技大学研究生教育创新项目(SY2022063)
山西省高等学校教学改革创新项目(J20220717)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.03.0144
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 12
Section: Algorithm Research & Explore
Pages: 3606-3613
Serial Number: 1001-3695(2023)12-013-3606-08

Publish History

[2023-06-15] Accepted Paper
[2023-12-05] Printed Article

Cite This Article

党伟超, 武婷玉. 基于注意力时空卷积和A2C的虚拟机主动容错优先迁移决策 [J]. 计算机应用研究, 2023, 40 (12): 3606-3613. (Dang Weichao, Wu Tingyu. Active fault-tolerant priority migration decision model for virtual machines based on attentional spatio-temporal convolution and A2C [J]. Application Research of Computers, 2023, 40 (12): 3606-3613. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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