Disk scrubbing in large archival storage systems

Disk scrubbing in large archival storage systems (2004)

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by Thomas J. E. Schwarz , Qin Xin , Andy Hospodor , Spencer Ng

Venue:	In Proceedings of the 12th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS ’04
Citations:	44 - 11 self

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Datum	Value	Source
TITLE	Disk Scrubbing in Large Archival Storage Systems	SVM HeaderParse 0.2
AUTHOR NAME	Thomas J. E. Schwarz	SVM HeaderParse 0.2
AUTHOR AFFIL	1 Computer Engineering Department, Santa Clara University, Santa Clara	SVM HeaderParse 0.2
AUTHOR ADDR	CA 95053	SVM HeaderParse 0.2
AUTHOR NAME	Qin Xin	SVM HeaderParse 0.2
AUTHOR NAME	Andy Hospodor	SVM HeaderParse 0.2
AUTHOR NAME	Spencer Ng	SVM HeaderParse 0.2
AUTHOR AFFIL	3 Hitachi Global Storage Technologies, San Jose Research Center, San Jose	SVM HeaderParse 0.2
AUTHOR ADDR	CA 95120	SVM HeaderParse 0.2
ABSTRACT	Large archival storage systems experience long periods of idleness broken up by rare data accesses. In such systems, disks may remain powered off for long periods of time. These systems can lose data for a variety of reasons, including failures at both the device level and the block level. To deal with these failures, we must detect them early enough to be able to use the redundancy built into the storage system. We propose a process called “disk scrubbing” in a system in which drives are periodically accessed to detect drive failure. By scrubbing all of the data stored on all of the disks, we can detect block failures and compensate for them by rebuilding the affected blocks. Our research shows how the scheduling of disk scrubbing affects overall system reliability, and that “opportunistic ” scrubbing, in which the system scrubs disks only when they are powered on for other reasons, performs very well without the need to power on disks solely to check them. 1.	SVM HeaderParse 0.2
CITATIONS	15 found	ParsCit 1.0