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Journal of Electrical and Computer Engineering
Volume 2016 (2016), Article ID 3516358, 8 pages
Research Article

Heuristic Data Placement for Data-Intensive Applications in Heterogeneous Cloud

1Tianjin University of Science and Technology, Tianjin 300222, China
2Tianjin House Fund Management Center, Tianjin 300222, China

Received 1 December 2015; Accepted 12 April 2016

Academic Editor: Hui Cheng

Copyright © 2016 Qing Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.