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Titlebook: Distributed and Parallel Computing; 6th International Co Michael Hobbs,Andrzej M. Goscinski,Wanlei Zhou Conference proceedings 2005 Springe

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https://doi.org/10.1057/9780230270732e reliability and availability of system, to achieve the expected reduction in operational expenses and to reduce the operations of management of system have become essential issues. A basic technique for improving reliability of a file system is to mask the effects of failures through replication.
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https://doi.org/10.1057/9780230270381eir simulation performance study is presented with the assumption that they use multicast communication if possible. To formally represent the algorithms for simulation, a class of extended Petri nets is used. The simulation was done in the simulation system Winsim based on this class of Petri nets.
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https://doi.org/10.1057/9780230270381 have been coupled and used to exploit rate differences among various client-server links and to address dynamic rate fluctuations by dividing files into multiple blocks of equal sizes. However, a major obstacle, the idle time of faster servers having to wait for the slowest server to deliver the fi
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https://doi.org/10.1057/9780230270381tems into a globally addressable index using a distributed hash table. The salient feature of the indexing systems design is the efficient dissemination of term-document indices using a combination of duplicate elimination, leaf set forwarding and conventional techniques such as aggressive index pru
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https://doi.org/10.1057/9780230270381ally. In due course, the system will not provide even the minimum critical functionality. Thus we propose a model to increase the cluster system survivability level by maintaining the essential functionality. In this paper, we present the cluster recovery model with a software rejuvenation methodolo
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https://doi.org/10.1057/9780230270381gical grid nodes mapping technique is employed to enhance the performance of parallel programs on cluster grid. Cluster grid is a typical computational grid environment consists of several clusters located in multiple campuses that are distributed globally over the Internet. Objective of the propose
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