Heuristic Data Placement for Data-Intensive Applications in Heterogeneous Cloud. (12th May 2016)

• Record Type: Journal Article
• Authors: Zhao, Qing; Xiong, Congcong; Wang, Peng
• Other Names: Cheng Hui Academic Editor.
• Is Part Of: Journal of electrical and computer engineering. Volume 2016(2016)
• Publication Date: 2016-05-12
• Subjects: Computer engineering -- Periodicals; Electrical engineering -- Periodicals; 621.3905
• DOI: 10.1155/2016/3516358
• Languages: English
• ISSNs: 2090-0147

Abstract

Abstract : 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.