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Data backup and recovery with a minimum replica plan in a multi-cloud environment

Alshammari, Mohammad Matar and Aljuboori, Ali A.Alwan and Nordin, Azlin and Abualkishik, Abedallah Zaid (2020) Data backup and recovery with a minimum replica plan in a multi-cloud environment. International Journal of Grid and High Performance Computing, 12 (2). pp. 102-120. ISSN 1938-0259 E-ISSN 1938-0267

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Abstract

Cloud computing has become a desirable choice to store and share large amounts of data among several users. The two main concerns with cloud storage are data recovery and cost of storage. This article discusses the issue of data recovery in case of a disaster in a multi-cloud environment. This research proposes a preventive approach for data backup and recovery aiming at minimizing the number of replicas and ensuring high data reliability during disasters. This approach named Preventive Disaster Recovery Plan with Minimum Replica (PDRPMR) aims at reducing the number of replicationsin the cloud without compromising the data reliability. PDRPMR means preventive action checking of the availability of replicas and monitoring of denial ofservice attacksto maintain data reliability. Several experiments were conducted to evaluate the effectiveness of PDRPMR and the results demonstrated that the storage space used one-third to two-thirds compared to typical 3-replicasreplication strategies.

Item Type: Article (Journal)
Additional Information: 7094/80767
Uncontrolled Keywords: Cloud Computing, Cost-Effective Storage, Data Reliability, Data Replication, Disaster Recovery
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology

Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: DR. ALI A. ALWAN AL-JUBOORI
Date Deposited: 22 Jun 2020 15:02
Last Modified: 12 Nov 2020 15:40
URI: http://irep.iium.edu.my/id/eprint/80767

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