Design Patterns of Scalable Cluster System Software

Authors:
Bibo Tu;Ming Zou;Jianfeng Zhan;Lei Wang;Jianping Fan
Affiliations:
Chinese Academy of Sciences, China/ Graduate School of Chinese Academy of Sciences, China;Chinese Academy of Sciences, China/ Graduate School of Chinese Academy of Sciences, China;Chinese Academy of Sciences, China;Chinese Academy of Sciences, China;Chinese Academy of Sciences, China
Venue:
PDCAT '06 Proceedings of the Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies
Year:
2006

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Abstract

The design pattern of cluster system software has an important influence on scalability of massive cluster system. The paper presents design patterns of scalable cluster system software, including scalable software topologies and optimized communication modes. These design patterns have been widely applied in Dawning series of supercomputers and some results of performance evaluation show their good scalability.