PDL Abstract

Co-scheduling of Disk Head Time in Cluster-based Storage

Carnegie Mellon University Parallel Data Lab Technical Report CMU-PDL-08-113, October 2008.

Matthew Wachs, Gregory R. Ganger

Electrical and Computer Engineering
Carnegie Mellon University
Pittsburgh, PA 15213

http://www.pdl.cmu.edu/

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.

KEYWORDS: performance isolation, quality of service, shared storage, performance, clustering, approximation
algorithms, heuristics, strip packing

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