SURVEY: CLOUD PARTITIONING USING LOAD BALANCING APPROACH FOR PUBLIC CLOUD INFRASTRUCTUREJournal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 4)
Publication Date: 2015-04-30
Authors : Rajesh Kumar; Charanjit Singh;
Page : 170-176
Keywords : Cloud Computing; Cloud Partitioning; Game Theory; Load Balancing; Public Cloud Infrastructure;
The term cloud computing describes distributed computing, virtualization, software, networking and web services having several elements such as clients, data enter and distributed servers etc. This includes fault tolerance, high availability, scalability, flexibility, reduced overhead for users, reduced cost of ownership, on demand services etc. is the process of distributing the load among various nodes of a distributed system to improve both resource utilization and job response time while avoiding a situation where some of the nodes are heavily loaded while other nodes are idle or doing very little work is called as Load balancing. Here in this paper, work on highly robust load balancing or job assignment approach has been discussed for distributed cloud system on the basis of game theory. This paper, is emphasized to incorporate dynamic load based job allocation approaches with the goal to reduce execution time in job scheduling.
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Last modified: 2015-04-21 23:20:06