Efficient Data Staging Using Performance-Based Adaptation and Policy-Based Resource Allocation

Parallel, Distributed and Network-Based Processing(2014)

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摘要
Before scientific analyses run on shared infrastructure, such as the Open Science Grid or XSEDE, scientists must often transfer or stage key data sets those resources. Often these datasets consist of many files that may be transferred by multiple clients in parallel. We study two techniques that improve the use of available resources for these large, long-running, multi-file transfers. First, we adapt transfer parameters for multi-file transfers based on recent transfer performance. Second, we use VO and site policies to influence the allocation of system resources for transfers, such as available transfer streams. We describe our system design and summarize its implementation and performance.
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关键词
key data,policy-based resource allocation,available resource,transfer parameter,efficient data staging,multiple client,system resource,open science grid,performance-based adaptation,recent transfer performance,available transfer stream,multi-file transfer,system design,resource allocation,data analysis
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