中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
High-performance Migration Tool for Live Container in a Workflow

文献类型:期刊论文

作者Di, Zhanyuan1,2; Shao, En1,2; Tan, Guangming1,2
刊名INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING
出版日期2021-03-23
页码13
关键词Container Live migration CRIU Docker Workflow
ISSN号0885-7458
DOI10.1007/s10766-021-00697-z
英文摘要As a lightweight virtualization solution, container technology can provide resource-limiting capabilities and can run multiple isolated process sets under a single kernel instance. Multitenant 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 designs a migration tool. Firstly, this dissertation proposes a method of container migration. Secondly, this dissertation optimizes the startup of containers from checkpoints and proposes a multicontainer migration strategy, reducing the 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.
资助项目National Program on Key Research Project[2018YFB0204400] ; NSFC[61702484] ; NSFC[61972380] ; CCF-Baidu Open Fund[CCF-BAIDU OF2020015] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2021099] ; State Grid Corporation of China Headquarters Project[5700-202158261A-0-0-00] ; CASSPRP[XDB24050200]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000631784200001
出版者SPRINGER/PLENUM PUBLISHERS
源URL[http://119.78.100.204/handle/2XEOYT63/16855]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Shao, En
作者单位1.Univ Chinese Acad Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Di, Zhanyuan,Shao, En,Tan, Guangming. High-performance Migration Tool for Live Container in a Workflow[J]. INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING,2021:13.
APA Di, Zhanyuan,Shao, En,&Tan, Guangming.(2021).High-performance Migration Tool for Live Container in a Workflow.INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING,13.
MLA Di, Zhanyuan,et al."High-performance Migration Tool for Live Container in a Workflow".INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING (2021):13.

入库方式: OAI收割

来源:计算技术研究所

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