Manuscript Number : CSEIT1725115
Review of Various Load Balancing Methods for Cloud Computing
Authors(3) :-Nikhit Pawar, Prof. Umesh Kumar Lilhore, Prof. Nitin Agrawal Cloud computing is an innovative technology which is based on virtualization. It is a new name of existing technology. Cloud computing mainly serves computing resources as a service to cloud users. This Computing is not only about the hard drives were storing and accessing can be done but it is latest computing paradigm and it offers tremendous opportunities to solve the large-scale scientific problem. To fully exploit the applications of cloud, various challenges need to be addressed where scheduling is one among them. In cloud computing, optimum utilization of computing resources are always challenging. A cloud service provider ensures to serve computing resources efficiently to cloud user at optimum cost. Load balancing methods play a vital role in the efficient utilization of computing resources. A load balancing algorithm migrates an overloaded VMs task to an under the loaded machine, with disturbing the existing environment. Different load balancing methods are suggested by cloud researchers. Still, an efficient load balancing method is required. This research paper presents a review of various load balancing method in cloud computing. Also, a comparative analysis has been presented based on various performance measuring parameters.
Nikhit Pawar Cloud computing, Load balancing, Virtualization, Virtual Machine, Load Balancer Publication Details Published in : Volume 2 | Issue 5 | September-October 2017 Article Preview
M. Tech. Research Scholar, NRI Institute of Information Science & Technology Bhopal, Madhya Pradesh, India
Prof. Umesh Kumar Lilhore
Head PG, NRI Institute of Information Science & Technology Bhopal, Madhya Pradesh, India
Prof. Nitin Agrawal
Assistant Professor, NRI Institute of Information Science & Technology Bhopal, Madhya Pradesh, India
Date of Publication : 2017-10-31
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 579-583
Manuscript Number : CSEIT1725115
Publisher : Technoscience Academy