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HOPE: Iterative and interactive database partitioning for OLTP workloads | IEEE Conference Publication | IEEE Xplore

HOPE: Iterative and interactive database partitioning for OLTP workloads


Abstract:

This paper demonstrates HOPE, an efficient and effective database partitioning system that is designed for OLTP workloads. HOPE is built on top of a novel tuple-group bas...Show More

Abstract:

This paper demonstrates HOPE, an efficient and effective database partitioning system that is designed for OLTP workloads. HOPE is built on top of a novel tuple-group based database partitioning model, which is able to minimize the number of distributed transactions as well as the extent of partition and workload skews during the workload execution. HOPE conducts the partitioning in an iterative manner in order to achieve better partitioning quality, save the user's time spent on partitioning design and increase its application scenes. HOPE is also highly interactive, as it provides rich opportunities for the user to help it further improve the partitioning quality by passing expertise and indirect domain knowledge.
Date of Conference: 31 March 2014 - 04 April 2014
Date Added to IEEE Xplore: 19 May 2014
Electronic ISBN:978-1-4799-2555-1

ISSN Information:

Conference Location: Chicago, IL, USA

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