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author:

Shen, Z. (Shen, Z..) [1] | Lee, P.P.C. (Lee, P.P.C..) [2] | Shu, J. (Shu, J..) [3] | Guo, W. (Guo, W..) [4]

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Scopus

Abstract:

Erasure coding has been increasingly used by distributed storage systems to maintain fault tolerance with low storage redundancy. However, how to enhance the performance of degraded reads in erasure-coded storage has been a critical issue. We revisit this problem from two different perspectives that are neglected by existing studies: data placement and encoding rules. To this end, we propose an encoding-aware data placement (EDP) approach that aims to reduce the number of I/Os in degraded reads during a single failure for general XOR-based erasure codes. EDP carefully places sequential data based on the encoding rules of the given erasure code. Trace-driven evaluation results show that compared to two baseline data placement methods, EDP reduces up to 37.4% of read data on the most loaded disk and shortens up to 15.4% of read time. © 2016 IEEE.

Keyword:

Community:

  • [ 1 ] [Shen, Z.]College of Mathematics and Computer Science, Fuzhou University, China
  • [ 2 ] [Shen, Z.]Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou, China
  • [ 3 ] [Shen, Z.]Key Laboratory of Spatial Data Mining and Information Sharing, Minstry of Education, Fuzhou, China
  • [ 4 ] [Lee, P.P.C.]Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong
  • [ 5 ] [Shu, J.]Department of Computer Science and Technology, Tsinghua University, China
  • [ 6 ] [Guo, W.]College of Mathematics and Computer Science, Fuzhou University, China
  • [ 7 ] [Guo, W.]Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou, China
  • [ 8 ] [Guo, W.]Key Laboratory of Spatial Data Mining and Information Sharing, Minstry of Education, Fuzhou, China

Reprint 's Address:

  • [Guo, W.]College of Mathematics and Computer Science, Fuzhou UniversityChina

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Source :

Proceedings of the IEEE Symposium on Reliable Distributed Systems

ISSN: 1060-9857

Year: 2016

Page: 239-248

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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