A Study of Virtual Machine Resource Scheduling Algorithms in Cloud Computing Environment
Keywords:
Resources, services, optimal, virtualization, resource allocationAbstract
Cloud computing is a fast-growing technology that is being used extensively in the market today. Most cloud service providers, provide clients with one of two things either resources or services as entitled to the client by the SLA. In resource allocation a user may want to gain access to multiple resources at the same time, thus we require a method for the optimal provision of resources. With the sudden massive growth in cloud computing there is no dearth of techniques and algorithms that can be used for resource allocation. In this paper we will study the various resource scheduling algorithms being utilized in the virtualization industry and compare them on common factors to discern the comparatively optimal resource scheduling algorithm.
References
[1] J. K. Author, “Title of dissertation,” Ph.D. dissertation, Abbrev. Dept.,
[2] Peter Sempolinski, Douglas Thain, “A Comparison And Critique Of Eucalyptus, Open Nebula And Nimbus”, Cloud Computing Technology And Science (CloudCom),DOI 10.1109/CloudCom.2010,Page(s):417-426
[3] Ms.NITIKA, “Comparative Analysis Of Load Balancing Algorithms In Cloud Computing ”, International Journal Of Engineering And Science, 2011,ISSN:2319- 1813,Page(s): 34-38
[4] Shridhar G.Domanal and G.Ram Mohana Reddy “Load Balancing In Cloud Computing Using Modified Throttled Algorithm”, IEEE International Conference on Cloud Computing in Emerging Markets, Oct, 2013,Page(s): 1-5
[5] Hamid Shoja ,Hossein Nahid, Reza Azizi “ A Comparative Survey On Load Balancing Algorithms In Cloud Computing”, International Conference On Computing, Communication And Networking Technologies, July,2014 , Page(s):1-5
[6] Veerawali Behal, Anil Kumar, “Cloud Computing: Performance Analysis Of Load Balancing Algorithms In Cloud Heterogeneous Environment”, 5th International Conference Confluence The Next Generation Information Technology Summit, Sept,2014,Page(s): 200- 205
[7] George Chang, Shan Malhotra, Paul Wolgast, “Leveraging The Cloud For Robust And Efficient Lunar Image Processing”,IEEE, 2011, Page(s):1-8
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