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ABSTRACT
Recently we presented several disk array architectures designed to increase the data rate and I/O rate of supercomputing applications, transaction processing, and file systems [Patterson 88]. In this paper we present a hardware performance measurement of two of these architectures, mirroring and rotated parity. We see how throughput for these two architectures is affected by response time requirements, request sizes, and read to write ratios. We find that for applications with large accesses, such as many supercomputing applications, a rotated parity disk array far outperforms traditional mirroring architecture. For applications dominated by small accesses, such as transaction processing, mirroring architectures have higher performance per disk than rotated parity architectures.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 17
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Garth A. Gibson , David F. Nagle , Khalil Amiri , Fay W. Chang , Eugene M. Feinberg , Howard Gobioff , Chen Lee , Berend Ozceri , Erik Riedel , David Rochberg , Jim Zelenka, File server scaling with network-attached secure disks, ACM SIGMETRICS Performance Evaluation Review, v.25 n.1, p.272-284, June 1997
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Peter M. Chen , Edward K. Lee , Garth A. Gibson , Randy H. Katz , David A. Patterson, RAID: high-performance, reliable secondary storage, ACM Computing Surveys (CSUR), v.26 n.2, p.145-185, June 1994
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