Storage resource managers: Middleware components for gridstorage
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Abstract
The amount of scientific data generated by simulations orcollected from large scale experiments have reached levels that cannot bestored in the researcher's workstation or even in his/her local computercenter. Such data are vital to large scientific collaborations dispersedover wide-area networks. In the past, the concept of a Gridinfrastructure [1]mainly emphasized the computational aspect ofsupporting large distributed computational tasks, and optimizing the useof the network by using bandwidth reservation techniques. In this paperwe discuss the concept of Storage Resource Managers (SRMs) as componentsthat complement this with the support for the storage management of largedistributed datasets. The access to data is becoming the main bottleneckin such "data intensive" applications because the data cannot bereplicated in all sites. SRMs can be used to dynamically optimize the useof storage resource to help unclog this bottleneck.
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