NDLI: RAID level selection for heterogeneous disk arrays

Content Provider	Springer Nature Link
Author	Thomasian, Alexander Xu, Jun
Copyright Year	2010
Abstract	Heterogeneous Disk Arrays (HDAs) allow resource sharing of their hardware by multiple RAID levels. RAID1 (mirrored disks) and RAID5 (distributed parity arrays) are the two RAID levels considered in this study. They are both single disk failure tolerant (1DFT), but differ significantly in their efficiency in processing database workloads. The goal of the study is to maximize the number of Virtual Array (VA) allocations in HDA. We develop an analysis to estimate the load per VA based on a few parameters: the fraction of accesses to small versus large blocks and the fraction of updates versus reads. A VA is allocated according to the RAID level, which minimizes the anticipated load based on input parameters. Operation in normal and degraded mode is considered for comparison purposes, but in fact allocations are carried out using the higher load in degraded mode to ensure that single disk failures will not result in overload. We report on parametric studies to gain insight into circumstances leading to a RAID1 or RAID5 classification. An allocation experiment with a synthetic workload is used to demonstrate the superiority of HDA with respect to purely RAID1 or RAID5 disk arrays. This analytic study can be extended to 2DFT arrays, namely RAID6 versus 3-way replication.
Starting Page	115
Ending Page	127
Page Count	13
File Format	PDF
ISSN	13867857
Journal	Cluster Computing
Volume Number	14
Issue Number	2
e-ISSN	15737543
Language	English
Publisher	Springer US
Publisher Date	2010-03-26
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Storage systems RAID Redundant Array of Independent Disks (RAID) Heterogeneous Disk Arrays (HDA) Data allocation Queueing analysis Processor Architectures Operating Systems Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Software

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