Paper Title:
A Data Placement Strategy for Data-Intensive Cloud Storage
  Abstract

Data-Intensive applications in power systems often perform complex computations which always involve large amount of datasets. In a distributed environment, an application may needs several datasets located in different data centers which faces two challenges including the high cost of data movements between data centers and data dependencies within the same data centers. In this paper, a data placement strategy among and within data centers in a cloud environment is proposed. Datasets are placed in different centers by a clustering scheme based on the data dependencies. And within the center, data is partitioned and replicated using consistent hashing. Simulations show that the algorithm can effectively reduce the cost of data movements and perform a evenly data distribution.

  Info
Periodical
Advanced Materials Research (Volumes 354-355)
Chapter
Chapter 6: Power System and Automation
Edited by
Hao Zhang, Yang Fu and Zhong Tang
Pages
896-900
DOI
10.4028/www.scientific.net/AMR.354-355.896
Citation
J. Ding, H. Y. Han, A. H. Zhou, "A Data Placement Strategy for Data-Intensive Cloud Storage", Advanced Materials Research, Vols. 354-355, pp. 896-900, 2012
Online since
October 2011
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Price
$32.00
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