PEACOD: a platform for evaluation and comparison of database partitioning schemes

Authors:
Xiaoyan Guo;Jidong Chen;Yu Cao;Mengdong Yang
Affiliations:
EMC Labs, China;EMC Labs, China;EMC Labs, China;Southeast University, China
Venue:
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part II
Year:
2012

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Abstract

Database partitioning is a common technique adopted by database systems running on single or multiple physical machines. It is always crucial yet challenging for a DBA to choose an appropriate partitioning scheme for a database according to a specific query workload. In this paper, we present PEACOD, a platform that aims to ease the burden of DBAs for database partitioning design. By automating the processing of database partitioning scheme evaluation and comparison, PEACOD provides the DBAs with a conventional way to choose a suitable scheme.