Date of Original Version

10-2008

Type

Technical Report

Rights Management

All Rights Reserved

Abstract or Description

Disk timeslicing is a promising technique for storage performance insulation. To work with cluster-based storage, however, timeslices associated with striped data must be co-scheduled on the corresponding servers. This paper describes algorithms for determining global timeslice schedules and mechanisms for coordinating the independent server activities. Experiments with a prototype show that, combined, they can provide performance insulation for workloads sharing a storage cluster—each workload realizes a configured minimum efficiency within its timeslices regardless of the activities of the other workloads

Comments

Carnegie Mellon University Parallel Data Lab Technical Report CMU-PDL-08-113

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