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The performance of disk arrays in shared-memory database machinesIn this paper, we examine how disk arrays and shared memory multiprocessors lead to an effective method for constructing database machines for general-purpose complex query processing. We show that disk arrays can lead to cost-effective storage systems if they are configured from suitably small formfactor disk drives. We introduce the storage system metric data temperature as a way to evaluate how well a disk configuration can sustain its workload, and we show that disk arrays can sustain the same data temperature as a more expensive mirrored-disk configuration. We use the metric to evaluate the performance of disk arrays in XPRS, an operational shared-memory multiprocessor database system being developed at the University of California, Berkeley.
Document ID
19930062467
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Katz, Randy H.
(NASA Ames Research Center Moffett Field, CA, United States)
Hong, Wei
(California Univ. Berkeley, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1993
Publication Information
Publication: Distributed and Parallel Databases
Subject Category
Computer Operations And Hardware
Funding Number(s)
CONTRACT_GRANT: NSF MIP-87-15235
CONTRACT_GRANT: NAG2-591
Distribution Limits
Public
Copyright
Other
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