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Data Partitioning and Load Balancing in Parallel Disk SystemsParallel disk systems provide opportunities for exploiting I/O parallelism in two possible waves, namely via inter-request and intra-request parallelism. In this paper we discuss the main issues in performance tuning of such systems, namely striping and load balancing, and show their relationship to response time and throughput. We outline the main components of an intelligent, self-reliant file system that aims to optimize striping by taking into account the requirements of the applications and performs load balancing by judicious file allocation and dynamic redistributions of the data when access patterns change. Our system uses simple but effective heuristics that incur only little overhead. We present performance experiments based on synthetic workloads and real-life traces.
Document ID
19980002422
Acquisition Source
Ames Research Center
Document Type
Contractor Report (CR)
Authors
Scheuermann, Peter (Northwestern Univ. Evanston, IL United States)
Weikum, Gerhard (Saarland Univ. Saarbruecken, Germany)
Zabback, Peter (Tandem Computers, Inc. Cupertino, CA United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1997
Subject Category
Computer Systems
Report/Patent Number
NAS 1.26:112995
NASA/CR-97-112995
Funding Number(s)
CONTRACT_GRANT: NAG2-846
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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