Managing Hot Metadata for Scientific Workflows on Multisite Clouds

BigData, 2016.

Cited by: 5|Bibtex|Views18
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Large-scale scientific applications are often expressed as workflows that help defining data dependencies between their different components. Several such workflows have huge storage and computation requirements, and so they need to be processed in multiple (cloud-federated) datacenters. It has been shown that efficient metadata handling ...More

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