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SCStore: Managing Scientific Computing Packages for Hybrid System with Containers 被引量:5

SCStore: Managing Scientific Computing Packages for Hybrid System with Containers
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摘要 Managing software packages in a scientific computing environment is a challenging task, especially in the case of heterogeneous systems. It is error prone when installing and updating software packages in a sophisticated computing environment. Testing and performance evaluation in an on-the-fly manner is also a troublesome task for a production system. In this paper, we discuss a package management scheme based on containers. The newly developed method can ease the maintenance complexity and reduce human mistakes. We can benefit from the self-containing and isolation features of container technologies for maintaining the software packages among intricately connected clusters. By deploying the Super Computing application Strore(SCStore) over the WAN connected world-largest clusters, it proved that it can greatly reduce the effort for maintaining the consistency of software environment and bring benefit to achieve automation. Managing software packages in a scientific computing environment is a challenging task, especially in the case of heterogeneous systems. It is error prone when installing and updating software packages in a sophisticated computing environment. Testing and performance evaluation in an on-the-fly manner is also a troublesome task for a production system. In this paper, we discuss a package management scheme based on containers. The newly developed method can ease the maintenance complexity and reduce human mistakes. We can benefit from the self-containing and isolation features of container technologies for maintaining the software packages among intricately connected clusters. By deploying the Super Computing application Strore(SCStore) over the WAN connected world-largest clusters, it proved that it can greatly reduce the effort for maintaining the consistency of software environment and bring benefit to achieve automation.
出处 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2017年第6期675-681,共7页 清华大学学报(自然科学版(英文版)
基金 supported by the National Key R&D Program of China(No.2016YFA0602100) the National Natural Science Foundation of China(No.91530323) Open Fund of Key Laboratory of Data Analysis and Applications,SOA(No.LDAA-2014-03)
关键词 high performance computing package management container hybrid system high performance computing package management container hybrid system
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