Scalable group management in large-scale virtualized clusters |
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Authors: | Zhou Wei Wang Lei Meng Dan Yuan Lin Zhan Jianfeng |
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Institution: | 1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P. R. China 2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P. R. China;Bureaus of High-Tech Research and Development, Chinese Academy of Sciences, Beijing 100864, P. R. China |
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Abstract: | To save cost,more and more users choose provision resources at the granularity of virtual machines in cluster systems,especially data centres.Maintaining a consistent member view is the foundation of reliable cluster managements,and it also raises several challenge issues for large scale cluster systems deployed with virtual machines (which we call virtualized clusters).In this paper,we introduce our experience in design and implementation of scalable member view management on large-scale virtual clusters.Our research contributions include three-aspects:1 ) we propose a scalable and reliable management infrastructure that combines a peer-to-peer structure and a hierarchy structure to maintain a consistent member view in virtual clusters; 2) we present a light-weighted group membership algorithm that can reach the consistent member view within a single round of message exchange; 3 ) we design and implement a scalable membership service that can provide virtual machines and maintain a consistent member view in virtual clusters.Our work is verified on Dawning 5000A,which ranked No.10 of Top 500 super computers in November,2008. |
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Keywords: | virtualized clusters consistent member view scalable group membership SGMS |
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