科研成果详情

题名Hierarchical multicast tree algorithms of data grid
作者
发表日期2006
会议名称2006 2nd International Conference on Semantics Knowledge and Grid, SKG
会议录名称Proceedings of the Second International Conference on Semantics, Knowledge, and Grid (SKG'06)
ISBN076952673X
页码20
会议日期NOV 1-3, 2006
会议地点Guilin, China
出版者Institute of Electrical and Electronics Engineers Inc.
摘要

Data Grid is one of the important research subjects in the field of Grid Computing. To get a high efficiency of the system, this paper proposes a set of novel multicast algorithms for Data grid, which can achieve shorter multicast delay and less resource consumptions. In contrast to previous approaches, the algorithms in this paper partition the group members into clusters in the lower layer, seeking the most plenty of date amount node as an optimal core (root) and building a shared tree within each cluster according to the algebra addition of the date amount of node and exponential to minimize the number of links used. In the upper layer, a shared tree is then constructed using our algorithms to implement the inter-cluster routing. The extended simulation results indicate that our algorithms are more suitable for Date Grid as compared with other well-known existing multicast solutions. © 2006 IEEE.

DOI10.1109/SKG.2006.53
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语种英语English
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被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/4596
专题个人在本单位外知识产出
作者单位
1.Department of Computer Science, City University of Hong Kong, Hong Kong, China
2.School of Computer, Wuhan University of China, China
3.School of Electronic Information Engineering, Wuhan University of China, China
4.School of Computer, State Key Laboratory of Software Engineering, Wuhan University of China, China
5.The State Multimedia and Software Engineering Engineering& Technology Research Centre, Wuhan, Hubei, 430079, China
推荐引用方式
GB/T 7714
Jia, Weijia,Fan, Qingfeng,Wu, Qingliet al. Hierarchical multicast tree algorithms of data grid[C]: Institute of Electrical and Electronics Engineers Inc., 2006: 20.
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