article

Adaptive data replication strategy in cloud computing for performance improvement

Author:

Najme MansouriAuthors Info & Claims

Frontiers of Computer Science: Selected Publications from Chinese Universities, Volume 10, Issue 5

Pages 925 - 935

https://doi.org/10.1007/s11704-016-5182-6

Published: 01 October 2016 Publication History

Abstract

Cloud computing is becoming a very popular word in industry and is receiving a large amount of attention from the research community. Replica management is one of the most important issues in the cloud, which can offer fast data access time, high data availability and reliability. By keeping all replicas active, the replicas may enhance system task successful execution rate if the replicas and requests are reasonably distributed. However, appropriate replica placement in a large-scale, dynamically scalable and totally virtualized data centers is much more complicated. To provide cost-effective availability, minimize the response time of applications and make load balancing for cloud storage, a new replica placement is proposed. The replica placement is based on five important parameters: mean service time, failure probability, load variance, latency and storage usage. However, replication should be used wisely because the storage size of each site is limited. Thus, the site must keep only the important replicas.We also present a new replica replacement strategy based on the availability of the file, the last time the replica was requested, number of access, and size of replica. We evaluate our algorithm using the CloudSim simulator and find that it offers better performance in comparison with other algorithms in terms of mean response time, effective network usage, load balancing, replication frequency, and storage usage.

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Cited By

Arif MAssogba KRafique MWolf FShende SCulhane CAlam SJagode H(2022)CanaryProceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis10.5555/3571885.3571939(1-16)Online publication date: 13-Nov-2022
https://dl.acm.org/doi/10.5555/3571885.3571939
Javadpour AAbadi ARezaei SZomorodian MRostami A(2022)Improving load balancing for data-duplication in big data cloud computing networksCluster Computing10.1007/s10586-021-03312-525:4(2613-2631)Online publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1007/s10586-021-03312-5
Mohammad Hasani Zade BMansouri NJavidi M(2022)A new hyper-heuristic based on ant lion optimizer and Tabu search algorithm for replica management in cloud environmentArtificial Intelligence Review10.1007/s10462-022-10309-y56:9(9837-9947)Online publication date: 23-Nov-2022
https://dl.acm.org/doi/10.1007/s10462-022-10309-y
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Adaptive data replication strategy in cloud computing for performance improvement

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cover image Frontiers of Computer Science: Selected Publications from Chinese Universities

Frontiers of Computer Science: Selected Publications from Chinese Universities Volume 10, Issue 5

October 2016

198 pages

ISSN:2095-2228

EISSN:2095-2236

Issue’s Table of Contents

Copyright © Copyright © 2016 Higher Education Press and Springer-Verlag Berlin Heidelberg.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 October 2016

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Cited By

Arif MAssogba KRafique MWolf FShende SCulhane CAlam SJagode H(2022)CanaryProceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis10.5555/3571885.3571939(1-16)Online publication date: 13-Nov-2022
https://dl.acm.org/doi/10.5555/3571885.3571939
Javadpour AAbadi ARezaei SZomorodian MRostami A(2022)Improving load balancing for data-duplication in big data cloud computing networksCluster Computing10.1007/s10586-021-03312-525:4(2613-2631)Online publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1007/s10586-021-03312-5
Mohammad Hasani Zade BMansouri NJavidi M(2022)A new hyper-heuristic based on ant lion optimizer and Tabu search algorithm for replica management in cloud environmentArtificial Intelligence Review10.1007/s10462-022-10309-y56:9(9837-9947)Online publication date: 23-Nov-2022
https://dl.acm.org/doi/10.1007/s10462-022-10309-y
Binti Mohd Ali FLatip RIbrahim HAbdullah A(2021)Optimization on Replication Performance via Balance Quorum (BQ) and Data Center Selection Method (DCSM) Algorithms in Cloud EnvironmentProceedings of the 4th International Conference on Electronics, Communications and Control Engineering10.1145/3462676.3462677(1-6)Online publication date: 9-Apr-2021
https://dl.acm.org/doi/10.1145/3462676.3462677
Mansouri NJavidi MZade B(2021)Hierarchical data replication strategy to improve performance in cloud computingFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-019-9099-815:2Online publication date: 1-Apr-2021
https://dl.acm.org/doi/10.1007/s11704-019-9099-8
Shakarami AGhobaei-Arani MShahidinejad AMasdari MShakarami H(2021)Data replication schemes in cloud computing: a surveyCluster Computing10.1007/s10586-021-03283-724:3(2545-2579)Online publication date: 16-Apr-2021
https://dl.acm.org/doi/10.1007/s10586-021-03283-7
Slimani SHamrouni TBen Charrada F(2021)Service-oriented replication strategies for improving quality-of-service in cloud computing: a surveyCluster Computing10.1007/s10586-020-03108-z24:1(361-392)Online publication date: 1-Mar-2021
https://dl.acm.org/doi/10.1007/s10586-020-03108-z
Mansouri NJavidi M(2020)A review of data replication based on meta-heuristics approach in cloud computing and data gridSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-020-04802-124:19(14503-14530)Online publication date: 1-Oct-2020
https://dl.acm.org/doi/10.1007/s00500-020-04802-1
Kulba VSomov SMerkuryev Y(2019)Placement of Data Array Replicas in a Distributed System With Unreliable Communication ChannelsApplied Computer Systems10.2478/acss-2019-000924:1(69-74)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.2478/acss-2019-0009
Somov S(2019)The Problem of the Optimal Placing of the Information-Technological Reserve in Distributed Data Processing SystemsAutomation and Remote Control10.1134/S000511791906010980:6(1123-1133)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1134/S0005117919060109
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