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  1. Transactions on Storage (TOS)
  2. ACM Transactions on Storage (TOS) : Volume 3
  3. Issue 1, March 2007
  4. SLAS: An efficient approach to scaling round-robin striped volumes
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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
ACM Transactions on Storage (TOS) : Volume 4
ACM Transactions on Storage (TOS) : Volume 3
Issue 4, February 2008
Issue 3, October 2007
Issue 2, June 2007
Issue 1, March 2007
Zoned-RAID
Dynamic data reallocation in disk arrays
SLAS: An efficient approach to scaling round-robin striped volumes
ACM Transactions on Storage (TOS) : Volume 2
ACM Transactions on Storage (TOS) : Volume 1

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SLAS: An efficient approach to scaling round-robin striped volumes

Content Provider ACM Digital Library
Author Zhang, Guangyan Zheng, Weimin Xue, Wei Shu, Jiwu
Copyright Year 2007
Abstract Round-robin striping, due to its uniform distribution and low-complexity computation, is widely used by applications which demand high bandwidth and massive storage. Because many systems are nonstoppable when their storage capacity and I/O bandwidth need increasing, an efficient and online mechanism to add more disks to striped volumes is very important. In this article, it is presented and proved that during data redistribution caused by scaling a round-robin striped volume, there is always a reordering window where data consistency can be maintained while changing the order of data movements. Furthermore, by exploiting the reordering window characteristic, SLAS is proposed to scale round-robin striped volumes, which reduces the cost of data redistribution effectively. First, SLAS applies a new mapping management solution based on a sliding window to support data redistribution without loss of scalability; second, it uses lazy updates of mapping metadata to decrease the number of metadata writes required by data redistribution; third, it changes the order of data chunk movements to aggregate reads/writes of data chunks. Our results from detailed simulations using real-system workloads show that, compared with the traditional approach, SLAS can reduce redistribution duration by up to 40.79% with similar maximum response time of foreground I/Os. Finally, our discussion indicates that the SLAS approach works for both disk addition and disk removal to/from striped volumes.
File Format PDF
ISSN 15533077
e-ISSN 15533093
DOI 10.1145/1227835.1227838
Volume Number 3
Issue Number 1
Journal ACM Transactions on Storage (TOS)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-03-01
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword I/O aggregation Striped volume Lazy updates Online scaling Reordering window Sliding window
Content Type Text
Resource Type Article
Subject Hardware and Architecture
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