Review on Various VM Migration Techniques
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Abstract
Cloud computing is a distributed Environment where storage and cloud resources are available on pay per use basis.The resources can be accessed at any time from remote locations,this will enhance the domain and provide flexibility to store their data or run application online.Recently most of internet users use the service of cloud and so load on cloud servers is growing in direct proportion and would result in ceasing the cloud server if not appropriately managed. To resolve this problem an efficient load balancing technique is needed. Aim of the Load balancing migration technique is to distribute the load among different cloud servers.Load balancing is usually based on Virtual Machine (VM) migration techniques. This paper gives the detail survey on various Virtual Machine Migration policies.
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References
P.Getzi Jeba Leelipushpam and Dr. J.Sharmila, “LIVE VM MIGRATION TECHNIQUES INCLOUDENVIRONMENT”,IEEE Conference on Information and Communication Technologies, ©2013.
R.V.Rasmussen and M.A.Trick,“Round Robin scheduling A survey”, European Journal of Operational Research, August 2008.
Wikipedia-Weighed round robin,http://en.wikipedia.org/wiki/weighted_round_ro bin
B.X Chen, X.F.Fu, X.Y.Zhang, L.SU and D.Wu, “Design and implementation of intranet security audit system based on load balancing”, IEEEInternational Conference on Granular Computing, 2007.
Xin Lu and Zhuanzhuan Zhang,“A virtual Machine Dynamic Migration Scheduling Model Based on MBFD Algorithm”, International journal of Computer Theory and Engineering ,August 2015.
Yatendra Sahu, R.k.Pateriya and Rajeev Kumar Gupta, “Cloud Server Optimization with Load Balancing using Dynamic Compare and Balance Algorithm”, International conference on Computational Intelligence and Communication networks,©2013.
Peng Lu, Antonio Barbalace, Roberto Palmieri and Binoy Ravindran, “Adaptive Live Migration to improve load balancing in Virtual Machine Environment”,© Springer-Verlag Berlin Heidelberg,2014.
Zhibo Cao and Shoubin Dong, “Dynamic VM consolidation for energy-aware and SLA violation reduction in cloud computing”, 13th International Conference on Parallel and Distributed Computing, Applications and Technologies 2012.
Gurpreet Singh,Parveen Kumar, “Self-Adaptive Task Distribution for Load Balancing using HABACO in Cloud”,IEEE International Conference on Advanced Communication Control and Computing Technologies,2014.
Komal Singh Patel, A. K. Sarje, “VM Provisioning Method to Improve the Profit and SLA Violation of Cloud Service Providers”, IEEE©2012.
Shagufta Khan and Niresh Sharma,“Effective Scheduling Algorithm for Load balancing (SALB) using Ant Colony Optimization in Cloud Computing”,International Journal of Advanced Research in Computer Science and Software Engineering, Vol 4, Issue 2 ,February 2014.