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Autonomic recovery plan with server virtualization

Author(s)
Seemab Hameed Department of Computer Science, Government College Women University Sialkot Pakistan
Muhammad Saady Department of Information, Technology, Virtual University Sialkot Pakistan
Muhammad Saad Department of Software Engineering University of Gujrat Sialkot, Pakistan
Sidra Anwar Department of Computer Engineering Memorial University of Newfoundland Canada
Abstract
servers can be developed instead of assigning an idle server to backup operations. In addition to hardware cost reduction and data center trail, the disaster recovery plan can ensure system uptime and to meet objectives of high availability, recovery time, recovery point, server provisioning and quality of services. This autonomic solution would also support disaster management, testing and development of the recovery site. In this research, a workflow plan is proposed for supporting disaster recovery with virtualization providing virtual monitoring, requirements engineering, solution decision making, quality testing and disaster management. This recovery model would make Disaster recovery lot easier, faster and less error prone.
Publication Details
Page(s) 590-599
DOI DOI not available
Published Journal: Journal of Natural & Applied Sciences Pakistan, Volume: 3, Issue: 1, Year: 2021

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Keywords
Cloud computing, Disaster Recovery, Server Virtualization, Autonomous Intelligence
References
. .. , : .
Anwar S,K. S .2015 .“Web Based Goal Structuring Notation Tool”. , : .
. .. International Journal of Research (IJR), 7(2) : 517-522.
Avram M.-G. .2014 .“Advantages and challenges of adopting cloud computing from an enterprise perspective,” Procedia Technology. , 12 : 529-534.
Office Trademark .2017 .. , 9(582) : 379.
Binz T.,Breitenbücher U.,Kopp O.,Leymann F .2014 .“TOSCA: Portable Automated Deployment. , 527 : 549.
Brender N.,Markov I. .2013 .“Risk perception and risk management in cloud computing: Results from a case study of Swiss companies. International Journal of Information Management., 33(5) : 726-733.
Chang V .2015 .Towards a Big Data system disaster recovery in a Private Cloud,” Ad Hoc Networks. , 35 : 1570-8705.
Cervone H. F. .2017 .“Disaster recovery planning and business continuity for informaticians”. Digital Library Perspectives, 33 : 78-81.
Dutta A.,Peng G. C. A.,Choudhary A .2013 .“Risks in enterprise cloud computing: the perspective of IT experts. ” Journal of Computing and Information Science in Engineering., : .
Ginis G.,Kerpez K. J.,Cioffi J.M.,Goldburg M.,Galli S,Silverman P .2014 .Software-defined access networks,” IEEE Commun. , 52(9) : 152-159.
Jain R,S R,MCOM R .2013 ."Network virtualization and software defined networking for cloud computing: a survey,". in IEEE Communications Magazine, 6658648(11) : 24-31.
Latif R.,Abbas H.,Assar S.,Ali Q. .2014 .Cloud computing risk assessment: a systematic literature review. ” Future Information Technology, : 285-295.
Malhotra L.,Agarwal D,Jaiswal A .2014 .. , : .
Klarl P.,Hennicker A.,Puviani R.,Tiezzi M.,Pugliese F.,Keznikl R.,Bureš J.,T. J. .2013 .:“The autonomic cloud: a vision of voluntary, peer-2-peer cloud computing. ” IEEE 7th International Conference on Self- Adaptation and Self-Organizing Systems Workshops (SASOW), 16 : 89-94.
Memon H M F.,Naeem M.,Siddique M.,Rauf A. .2016 .“An overview of virtualization & cloud computing” Science. International .(Lahore), 28(4) : 3799-3803.
.2017 .“Factors that influence the choice of virtualized environments in small medium enterprises”. International Journal of Advanced, : .
Ramesh G. .2015 .. International Journal of Research and Applications, 2 : 296-308.
. .. , (6) : .
Rittinghouse J. W.,Ransome J. F .2016 .Cloud computing: implementation, management, and security”. , : .
. .. , 35 : 65-82.
Singh S,I S .2016 .“QoS-aware autonomic resource management in cloud computing: a systematic review. ” ACM Computing. Survey. CSUR, 48(3) : 42.
Xiao Z.,Song W.,Chen Q. .2012 .. , : .
. .“Dynamic resource allocation using virtual machines for cloud computing environment”. IEEE transactions on parallel and distributed systems, 24(6) : 1107-1117.
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