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  1. Transactions on Storage (TOS)
  2. ACM Transactions on Storage (TOS) : Volume 5
  3. Issue 2, June 2009
  4. Efficient management of idleness in storage systems
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ACM Transactions on Storage (TOS) : Volume 12
ACM Transactions on Storage (TOS) : Volume 11
ACM Transactions on Storage (TOS) : Volume 10
ACM Transactions on Storage (TOS) : Volume 9
ACM Transactions on Storage (TOS) : Volume 8
ACM Transactions on Storage (TOS) : Volume 7
ACM Transactions on Storage (TOS) : Volume 6
ACM Transactions on Storage (TOS) : Volume 5
Issue 4, December 2009
Issue 3, November 2009
Issue 2, June 2009
Efficient management of idleness in storage systems
POTSHARDS—a secure, recoverable, long-term archival storage system
Storing semi-structured data on disk drives
Issue 1, March 2009
ACM Transactions on Storage (TOS) : Volume 4
ACM Transactions on Storage (TOS) : Volume 3
ACM Transactions on Storage (TOS) : Volume 2
ACM Transactions on Storage (TOS) : Volume 1

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Efficient management of idleness in storage systems

Content Provider ACM Digital Library
Author Zhang, Qi Riska, Alma Smirni, Evgenia Riedel, Erik Mi, Ningfang
Copyright Year 2009
Abstract Various activities that intend to enhance performance, reliability, and availability of storage systems are scheduled with low priority and served during idle times. Under such conditions, idleness becomes a valuable “resource” that needs to be efficiently managed. A common approach in system design is to be nonwork conserving by “idle waiting”, that is, delay the scheduling of background jobs to avoid slowing down upcoming foreground tasks. In this article, we complement “idle waiting” with the “estimation” of background work to be served in every idle interval to effectively manage the trade-off between the performance of foreground and background tasks. As a result, the storage system is better utilized without compromising foreground performance. Our analysis shows that if idle times have low variability, then idle waiting is not necessary. Only if idle times are highly variable does idle waiting become necessary to minimize the impact of background activity on foreground performance. We further show that if there is burstiness in idle intervals, then it is possible to predict accurately the length of incoming idle intervals and use this information to serve more background jobs without affecting foreground performance.
Starting Page 1
Ending Page 25
Page Count 25
File Format PDF
ISSN 15533077
e-ISSN 15533093
DOI 10.1145/1534912.1534913
Volume Number 5
Issue Number 2
Journal ACM Transactions on Storage (TOS)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-06-12
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Resource management Background jobs Continuous data histogram Foreground jobs Idle periods Idleness Low priority work Performance guarrante Storage systems
Content Type Text
Resource Type Article
Subject Hardware and Architecture
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