DistriPlan: An Optimized Join Execution Framework for Geo-Distributed Scientific Data

Abstract

Scientific data is frequently stored across geographically distributed data repositories. Although there have been recent efforts to query scientific datasets using structured query operators, they have not yet supported joins across distributed data repositories. This paper describes a framework that supports join-like operations over multi-dimensional array datasets that are spread across multiple sites.

DOI: 10.1145/3085504.3085529

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Cite this paper

@inproceedings{Ebenstein2017DistriPlanAO, title={DistriPlan: An Optimized Join Execution Framework for Geo-Distributed Scientific Data}, author={Roee Ebenstein and Gagan Agrawal}, booktitle={SSDBM}, year={2017} }