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Scalable dht-based information service for large-scale grids
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Conference On Computing Frontiers archive
Proceedings of the 5th conference on Computing frontiers table of contents
Ischia, Italy
SESSION: Systems table of contents
Pages 305-312  
Year of Publication: 2008
ISBN:978-1-60558-077-7
Authors
Hai Jin  Huazhong University of Science and Technology, Wuhan, China
Yongcai Tao  Huazhong University of Science and Technology, Wuhan, China
Song Wu  Huazhong University of Science and Technology, Wuhan, China
Xuanhua Shi  Huazhong University of Science and Technology, Wuhan, China
Sponsors
ACM: Association for Computing Machinery
SIGMICRO: ACM Special Interest Group on Microarchitectural Research and Processing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Current grid information service is centralized or hierarchical and proves inefficient as grid scale rapidly increases. The introduction of P2P techniques into grids breaks an encouraging path. However, frequent join and departure of resource nodes require strong self-organization capacity of system to maintain their rigid structure. Moreover, arranging identifier space for P2P nodes is knotty and has great impact on system performance. If the identifier space is too large, some nodes will be overloaded. On the contrary, small identifier space will bring the same problem as millennium bug. To address the issues, this paper proposes a scalable DHT-based (Distributed Hash Table) Information Service (DIS) for grid system, which organizes grid resources into a DHT ring based on VO (Virtual Organization). To save the identifier space while retaining the scalability and system performance, only stable VOs can join DIS via a new DHT node, whereas volatile VOs join DIS through being the sub-domain of other VO. Experimental results show that DIS provides rapid resource query, strong scalability and high throughput, meanwhile avoiding the key node failure as well as the bottleneck problem.


REFERENCES

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Collaborative Colleagues:
Hai Jin: colleagues
Yongcai Tao: colleagues
Song Wu: colleagues
Xuanhua Shi: colleagues