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Heuristic Data Placement for Data-Intensive Applications in Heterogeneous Cloud
Joint Authors
Zhao, Qing
Xiong, Congcong
Wang, Peng
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Data placement is an important issue which aims at reducing the cost of internode data transfers in cloud especially for data-intensive applications, in order to improve the performance of the entire cloud system.
This paper proposes an improved data placement algorithm for heterogeneous cloud environments.
In the initialization phase, a data clustering algorithm based on data dependency clustering and recursive partitioning has been presented, and both the factor of data size and fixed position are incorporated.
And then a heuristic tree-to-tree data placement strategy is advanced in order to make frequent data movements occur on high-bandwidth channels.
Simulation results show that, compared with two classical strategies, this strategy can effectively reduce the amount of data transmission and its time consumption during execution.
American Psychological Association (APA)
Zhao, Qing& Xiong, Congcong& Wang, Peng. 2016. Heuristic Data Placement for Data-Intensive Applications in Heterogeneous Cloud. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1108428
Modern Language Association (MLA)
Zhao, Qing…[et al.]. Heuristic Data Placement for Data-Intensive Applications in Heterogeneous Cloud. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1108428
American Medical Association (AMA)
Zhao, Qing& Xiong, Congcong& Wang, Peng. Heuristic Data Placement for Data-Intensive Applications in Heterogeneous Cloud. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1108428
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108428