Fault tolerance in distributed systems relies heavily on some form of replication. Replication can also be used to reduce the access latency and the bandwidth consumption in large scale distributed systems. However, i...
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The computinggrid is a distributedparallel processing system that share and choosing resources dynamically and provide need of user operation power, cost and quality. grid management resources does as a diagnostic a...
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In recent years, Network Virtualization has become a big issue which is utility computing, gridcomputing andcloudcomputing. Network virtualization provides the feasibility of running multiple architectures also, it...
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The recent emergence of cloudcomputing is making the vision of utility computing realizable, i.e., computing resources and services from a cloud can be delivered, utilized, and paid for in the same fashion as utiliti...
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The Industrial Ethernet is promising for the implementation of a cloudcomputing based control system. However, numerous standard organizations and vendors have developed various Industrial Ethernets to satisfy the re...
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parallelcomputing is still evolving. Although there are great improvements in the field, still remains to be improved. The major research trend of parallelcomputing is now shifting to software technology from hardwa...
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Drawing on the idea of grid in computer networks, this paper maps heterogeneous wireless networks to distributedgrids by introducing Resource Management Unit, and then presents a hierarchical semi-centralized archite...
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We present a power-saving method for large-scale distributed storage systems. The key idea is to use virtual nodes and migrate them dynamically so as to skew the workload towards a small number of disks while not over...
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Data have become more and more important these years, especially for big companies, and it is of great benefit to mine useful information in these data. Oil & Gas industry has to deal with vast amounts of data, bo...
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This paper proposes a novel distributed metadata management scheme to efficiently handle different metadata workloads in cloudcomputing. It can deliver high performance and scalable metadata service through following...
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