Cost-Effective Data Placement in Edge Storage Systems with Erasure Code

Article

Jin, Hai, Luo, Ruikun, He, Qiang, Wu, Song, Zeng, Zilai and Xia, Xiaoyu. 2022. "Cost-Effective Data Placement in Edge Storage Systems with Erasure Code." IEEE Transactions on Services Computing. 16 (2), pp. 1039-1050. https://doi.org/10.1109/TSC.2022.3152849

Article Title	Cost-Effective Data Placement in Edge Storage Systems with Erasure Code
ERA Journal ID	36548
Article Category	Article
Authors	Jin, Hai (Author), Luo, Ruikun (Author), He, Qiang (Author), Wu, Song (Author), Zeng, Zilai (Author) and Xia, Xiaoyu (Author)
Journal Title	IEEE Transactions on Services Computing
Journal Citation	16 (2), pp. 1039-1050
Number of Pages	12
Year	2022
Publisher	IEEE (Institute of Electrical and Electronics Engineers)
Place of Publication	United States
ISSN	1939-1374
Digital Object Identifier (DOI)	https://doi.org/10.1109/TSC.2022.3152849
Web Address (URL)	https://ieeexplore.ieee.org/document/9721137
Abstract	In this paper, we make the first attempt to investigate the use of erasure codes in cost-effective data storage at the edge. The focus is to find the optimal strategy for placing coded data blocks on the edge servers in an ESS, aiming to minimize the storage cost while serving all the users in the system. We first model this novel Erasure Coding based Edge Data Placement (EC-EDP) problem as a constrained optimization problem and prove that it is NP-hard. Then, we propose an optimal approach named EC-EDP-O based on integer programming. We also propose an approximation algorithm named EC-EDP-V for finding approximate solutions to large-scale EC-EDP problems efficiently. The results of experiments conducted on a widely-used real-world dataset demonstrate that EC-EDP-O and EC-EDP-V can save an average of 68.58% (and up to 81.16% in large-scale scenarios) storage cost compared with replica-based storage approaches.
Keywords	Approximation Algorithm; Cloud computing; Codes; Costs; Data Placement; Distributed databases; Edge Computing; Edge computing; Encoding; Erasure Code; Servers
ANZSRC Field of Research 2020	460612. Service oriented computing
Public Notes	Files associated with this item cannot be displayed due to copyright restrictions.
Byline Affiliations	Huazhong University of Science and Technology, China
	Swinburne University of Technology
	Deakin University
Institution of Origin	University of Southern Queensland

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