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Link to original content: https://doi.org/10.1007/978-3-030-79478-1_23
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Reducing the Time of Live Container Migration in a Workflow

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Network and Parallel Computing (NPC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12639))

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Abstract

As a lightweight virtualization solution, container technology can provide resource limiting capabilities and can run multiple isolated process sets under a single kernel instance. Multi-tenant preemption leads to competition in computing, storage, and network resources, resulting in degraded computing service performance. Virtualization service migration can provide a solution to the problem of resource shortage in supercomputing systems. However, the resource overhead and delay in the migration process also reduce the efficiency of high-performance computers. To solve this problem, this dissertation proposes a method of container migration and a tool for supporting container migration. Also, this paper optimizes the startup of containers from checkpoints and proposes a multi-container migration strategy, reducing migration time by 30% compared to sequential migration. The migration method in this paper provides valuable experience for service migration in supercomputers and data centers.

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Acknowledgement

This work is supported in part by National Program on Key Research Project (No. 2018YFB0204400), by NSFC (No. 61702484, No. 61972380), by CASSPRP (XDB24050200). Sponsored by CCF-Baidu Open Fund.

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Authors and Affiliations

  1. University of Chinese Academy of Sciences, Beijing, China

    Zhanyuan Di & En Shao

  2. State Key Laboratory of Computer Architecture, Institute of Computing Technology, CAS, Beijing, China

    Zhanyuan Di & En Shao

  3. Chongqing University, Chongqing, China

    Mujun He

Authors
  1. Zhanyuan Di
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  2. En Shao
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  3. Mujun He
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Corresponding author

Correspondence to En Shao .

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Editors and Affiliations

  1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Xin He

  2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    En Shao

  3. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Guangming Tan

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Di, Z., Shao, E., He, M. (2021). Reducing the Time of Live Container Migration in a Workflow. In: He, X., Shao, E., Tan, G. (eds) Network and Parallel Computing. NPC 2020. Lecture Notes in Computer Science(), vol 12639. Springer, Cham. https://doi.org/10.1007/978-3-030-79478-1_23

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  • DOI: https://doi.org/10.1007/978-3-030-79478-1_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79477-4

  • Online ISBN: 978-3-030-79478-1

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