Stork data scheduler: mitigating the data bottleneck in e-Science.

Abstract

In this paper, we present the Stork data scheduler as a solution for mitigating the data bottleneck in e-Science and data-intensive scientific discovery. Stork focuses on planning, scheduling, monitoring and management of data placement tasks and application-level end-to-end optimization of networked inputs/outputs for petascale distributed e-Science… (More)
DOI: 10.1098/rsta.2011.0148

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