By Kai Hwang (auth.), Song Wu, Laurence T. Yang, Tony Li Xu (eds.)
This publication constitutes the refereed court cases of the 3rd foreign convention on Grid and Pervasive Computing, GPC 2008, held in Kunming, China, in may possibly 2008.
The forty five revised complete papers offered including 2 keynote lectures have been rigorously reviewed and chosen from 184 submissions. The papers disguise all present problems with grid and pervasive computing and concentrate on themes resembling cluster computing, grid computing, excessive functionality computing, community garage, peer-to-peer computing, pervasive computing, the Semantic net and the Semantic Grid, and service-oriented computing.
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Extra info for Advances in Grid and Pervasive Computing: Third International Conference, GPC 2008, Kunming, China, May 25-28, 2008. Proceedings
The idea of changing data to logical processor mapping [10, 13] was employed in previous research works to minimize data transmission time of runtime array redistribution. In cluster grid, we also can derive a mapping function to produce a realigned sequence of logical processors’ id for grouping communications into local cluster. Given an identical cluster grid with C clusters, a new logical id for replacing processor Pi can be determined by New(Pi) = (i mod C) × K + i , C (3) Where K is the degree of data refinement.
1. Communication table of data redistribution over cluster grid. (a) without processor mapping (b) with processor mapping. P3 in Cluster-2 will redistributes sub-blocks b1, b2, and b3 to processors P3, P4 and P5, presenting the same cluster as P3; and processor P6 redistributes c1, c2 and c3 to processors P6, P7 and P8, also leading interior communications. The same manipulations will be carried out in P1, P4, P7, P2, P5 and P8, showing all communications are interior if the mapping function is applied for this example.
If the two grid nodes are geographically belong to different clusters, the messaging should be accomplished through the Internet. We refer this kind of data transmission as external communication. If the two grid nodes are geographically in the same space domain, the communications take place within a cluster; we refer this kind of data transmission as interior communication. Intuitionally, the external communication is usually with higher communication latency than that of the interior communication sine the S.