Advances in Computing Science — ASIAN 2002: Internet by Alessandro Bassi, Micah Beck, Terry Moore (auth.), Alain

By Alessandro Bassi, Micah Beck, Terry Moore (auth.), Alain Jean-Marie (eds.)

This booklet constitutes the refereed lawsuits of the seventh Asian Computing technology convention, ASIAN 2002, held in Hanoi, Vietnam in December 2002.
The 17 revised complete papers provided including invited contributions have been rigorously reviewed and chosen from 30 submissions. The convention used to be dedicated to net computing and modeling, grid computing, peer-to-peer platforms, and cluster computing. one of the matters addressed are scalable infrastructure for worldwide facts grids, disbursed checkpointing, record coloring, parallel debugging, combinatorial optimization, video on call for servers, caching, grid environments, community enabled servers, multicast communique, dynamic source allocation, site visitors engineering, path-vector protocols, Web-based web broadcasting, Web-based middleware, and subscription-based net providers.

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Additional resources for Advances in Computing Science — ASIAN 2002: Internet Computing and Modeling, Grid Computing, Peer-to-Peer Computing, and Cluster Computing 7th Asian Computing Science Conference Hanoi, Vietnam, December 4–6, 2002 Proceedings

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A. 17, Jan. 1993, pp 4-27. K. Hwang, H. Jin, E. Chow, C. L. Wang, and Z. Xu. 60-69. K. Hwang, H. Jin, and R. S. C. 26-44. K. Hwang, H. Jin, R. Ho and W. 171-184. J. L. Kim and T. Park, “An efficient protocol for checkpointing recovery in distributed systems”, IEEE Transactions on Parallel and Distributed Systems, Aug. 955 – 960. R. Koo and S. Toueg, “Checkpointing and Rollback-Recovery for Distributed Systems”, IEEE Trans. 5. 955-960, Aug. 1993. K. Li, J. Naughton and J. Plank, “Low-Latency Concurrent Checkpoint for Parallel Programs”, IEEE Trans.

In this MAT-large code, the main program distributes a matrix multiply pair to each cluster node and thus heavier workload being executed. To see the message-logging overhead, checkpointing is done at the last step when the results are gathered at a node. Therefore, the time lag of the checkpointing results in a large overhead for message logging. This corresponds to a case where the communication is intensive in the application code. Therefore, the message size is larger than that of the IS benchmark.

Striping exploits parallelism across multiple disks. Staggering alleviates the I/O bottleneck problem on each disk. In practice, staggering can be implemented with pipelined accesses to a string of disks attached to the same cluster node. The experimental results reported did not apply pipelining, because our Trojans cluster is implemented with only one disk per PC node. The tradeoff between striping and staggering should be applied dynamically for different applications. The tradeoff results can be applied to yield the lowest SCC configuration for a given application.

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