Flexible replica placement for enhancing the availability in edge computing environment
As edge devices that make up the Internet become more powerful, these devices in edge computing environment will even perform better in improving the computing and storage capabilities of system. In this paper, to enhancing data availability and improve cloud storage performance in edge computing en...
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Published in | Computer communications Vol. 146; pp. 1 - 14 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
15.10.2019
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Abstract | As edge devices that make up the Internet become more powerful, these devices in edge computing environment will even perform better in improving the computing and storage capabilities of system. In this paper, to enhancing data availability and improve cloud storage performance in edge computing environment, an adaptive replica placement strategy in edge computing environment is proposed to study the relationship among user access characteristics, the number of replicas, and the replicas location. To deal with the volatility of user access, the strategy in this paper takes data block as the data unit and the dynamic replica creation algorithm (DRC-GM) is proposed. DRC-GM uses the relationship between access frequency of data blocks and the number of replicas to dynamically adjust the number of replicas to ensure data availability requirements. To find the optimal location for replica distributed placement, in this paper, the replica placement algorithm (RP-FNSG) is proposed. And replica number, node performance and replica consistency are considered. Experiment results show that DRC-GM and RP-FNSG algorithms in edge computing environment can greatly improve system performance in terms of better prediction accuracy, shorter access response, higher effective network and storage space usage, which enhancing the data availability. |
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AbstractList | As edge devices that make up the Internet become more powerful, these devices in edge computing environment will even perform better in improving the computing and storage capabilities of system. In this paper, to enhancing data availability and improve cloud storage performance in edge computing environment, an adaptive replica placement strategy in edge computing environment is proposed to study the relationship among user access characteristics, the number of replicas, and the replicas location. To deal with the volatility of user access, the strategy in this paper takes data block as the data unit and the dynamic replica creation algorithm (DRC-GM) is proposed. DRC-GM uses the relationship between access frequency of data blocks and the number of replicas to dynamically adjust the number of replicas to ensure data availability requirements. To find the optimal location for replica distributed placement, in this paper, the replica placement algorithm (RP-FNSG) is proposed. And replica number, node performance and replica consistency are considered. Experiment results show that DRC-GM and RP-FNSG algorithms in edge computing environment can greatly improve system performance in terms of better prediction accuracy, shorter access response, higher effective network and storage space usage, which enhancing the data availability. |
Author | Tang, Hengliang Li, Chunlin Luo, Youlong Xin, Yan Wang, YaPing Zhang, Yujiao |
Author_xml | – sequence: 1 givenname: Chunlin surname: Li fullname: Li, Chunlin email: chunlin74@aliyun.com organization: Robot Technology Used for Special Environment Key Laboratory of Sichuan Province, Southwest University of Science and Technology, MianYang, 621010, China – sequence: 2 givenname: YaPing surname: Wang fullname: Wang, YaPing organization: School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430063, China – sequence: 3 givenname: Hengliang surname: Tang fullname: Tang, Hengliang organization: School of Information, Beijing Wuzi University, Beijing 101149, China – sequence: 4 givenname: Yujiao surname: Zhang fullname: Zhang, Yujiao organization: School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430063, China – sequence: 5 givenname: Yan surname: Xin fullname: Xin, Yan organization: School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430063, China – sequence: 6 givenname: Youlong surname: Luo fullname: Luo, Youlong organization: School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430063, China |
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SubjectTerms | Data availability Edge computing environment Replica placement |
Title | Flexible replica placement for enhancing the availability in edge computing environment |
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