Multi-server optimal bandwidth monitoring for collaborative distributed retrieval

被引:0
|
作者
Ying, LH [1 ]
Basu, A [1 ]
Tripathi, S [1 ]
机构
[1] Univ Alberta, Dept CS, Edmonton, AB T6G 2M7, Canada
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Accurate bandwidth monitoring is critical for multimedia delivery applications that guarantee QoS parameters like time limit for transmission. In our past work [1] we monitored the bandwidth at several servers independently, then chose the most reliable links to transmit scalable multimedia information. The assumption behind our past. work was that each server retrieves a fixed part of a multimedia object, and this part is determined after the bandwidth monitoring process and cannot be changed during the retrieval process. In this paper, we consider a retrieval strategy where the different servers collaborate in the retrieval process; i.e., if a server finishes its share of the retrieval task it helps with the retrieval task of other servers. Given this "collaborative" retrieval scenario, a new distributed monitoring algorithm is proposed. Simulation results show that the proposed algorithm is more effective than our past work in distributed retrieval.
引用
收藏
页码:201 / 204
页数:4
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