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Optimal response time retrieval of replicated data (extended abstract)

Published: 24 May 1994 Publication History

Abstract

This work deals with the problem of finding efficient access plans for retrieving a set of pages from a multi-disk system with replicated data. This paper contains two results related to this problem: (a) We solve the problem of finding an optimal access path by transforming it into a network flow problem. We also indicate how our method may be employed in dynamic environments where some (or all) of the disks have a preexisting load, are heterogeneous, and reside on different servers. (b) We present a lower bound for the worst case response time of a request under all replication schemes, and also discuss the replication scheme that results in this lower bound. We then use simulation to show how this replication scheme can also greatly reduce the average case response time.

References

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D. Bitton and J. Gray. Disk Shadowing. In Proceedings of the i#th Conference on Very Large Data Bases, pages 331-338# August 1988.
[2]
T. H. Cormen, C. E. Leiserson, and R. L. Rivest. Introduction to Algorithms. MIT Press, 1990.
[3]
L.T. Chen and D, Rotem. Declustering Objects for VisuMization. In Proceedings of the 19th VLDB, pages 85-96, August 1993.
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L. R. Ford and D. R. Fulkerson. Flows #n Networks. Princton University Press, 1962.
[5]
A. V. Goldberg, E. Tardos, and R. E. Tat'- jan. Network Flow Algorithms. Technical Report STAN-CS-89-1252, Computert Science Department, Stanford University, 1989.
[6]
R. Lo and N. S. Matloff. A Probabilistic Limit on the Virtual Size of Replicated Disk Systems. IEEE Transactions on Knowledge Engineemng, 4(1):862-871, 1992.
[7]
C. A. Polyzois, A. Bhide, and D. Dias. Disk Mirroring with Alternating Deferred Updates. In Proceedings of the 19th VLDB, pages 604-617, August 1993.
[8]
D. Rotem and G. Schloss. I/C) Performance of Fully-Replicated Disk Systems. In Proceedings of the Second Workshop on the Management of Replicated Data, pages 68-73, November 1992.

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  • (2017)Big Data Aware Virtual Machine Placement in Cloud Data CentersProceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies10.1145/3148055.3148057(209-218)Online publication date: 5-Dec-2017
  • (2017)A query execution scheduling scheme for Impala systemConcurrency and Computation: Practice and Experience10.1002/cpe.439230:8Online publication date: 11-Dec-2017
  • (2017)Workload prediction and balance for distributed reachability processing for large‐scale attribute graphsConcurrency and Computation: Practice and Experience10.1002/cpe.434430:6Online publication date: 10-Oct-2017
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cover image ACM Conferences
PODS '94: Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
May 1994
313 pages
ISBN:0897916425
DOI:10.1145/182591
  • Chairman:
  • Victor Vianu
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 24 May 1994

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PODS '94 Paper Acceptance Rate 28 of 117 submissions, 24%;
Overall Acceptance Rate 642 of 2,707 submissions, 24%

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Cited By

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  • (2017)Big Data Aware Virtual Machine Placement in Cloud Data CentersProceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies10.1145/3148055.3148057(209-218)Online publication date: 5-Dec-2017
  • (2017)A query execution scheduling scheme for Impala systemConcurrency and Computation: Practice and Experience10.1002/cpe.439230:8Online publication date: 11-Dec-2017
  • (2017)Workload prediction and balance for distributed reachability processing for large‐scale attribute graphsConcurrency and Computation: Practice and Experience10.1002/cpe.434430:6Online publication date: 10-Oct-2017
  • (2013)Generalized Optimal Response Time Retrieval of Replicated Data from Storage ArraysACM Transactions on Storage10.1145/2491472.24914749:2(1-36)Online publication date: 1-Jul-2013
  • (2013)Query-Log Aware Replicated DeclusteringIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2012.11324:5(987-995)Online publication date: 1-May-2013
  • (2013)Data Replication for Distributed Graph ProcessingProceedings of the 2013 IEEE Sixth International Conference on Cloud Computing10.1109/CLOUD.2013.55(319-326)Online publication date: 28-Jun-2013
  • (2012)Integrated Maximum Flow Algorithm for Optimal Response Time Retrieval of Replicated DataProceedings of the 2012 41st International Conference on Parallel Processing10.1109/ICPP.2012.34(11-20)Online publication date: 10-Sep-2012
  • (2009)Divide-and-conquer scheme for strictly optimal retrieval of range queriesACM Transactions on Storage10.1145/1629075.16290775:3(1-32)Online publication date: 30-Nov-2009
  • (2009)Selective Replicated Declustering for Arbitrary QueriesProceedings of the 15th International Euro-Par Conference on Parallel Processing10.1007/978-3-642-03869-3_37(375-386)Online publication date: 23-Aug-2009
  • (2008)Multi-Site Retrieval of Declustered DataProceedings of the 2008 The 28th International Conference on Distributed Computing Systems10.1109/ICDCS.2008.72(486-493)Online publication date: 17-Jun-2008
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