EVOLUTION OF NEW EFFICIENT LOAD BALANCER ALGORITHM FOR LARGE DATA SETS
Journal Title: International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) - Year 2017, Vol 7, Issue 3
Abstract
Cloud computing is a vital part of this new era IT world or we can say that it is a technology of new age which are used to connect data and application from anywhere around the planet through the internet. Anything and everything from servers to mobile phones can be connected to the cloud. It has also yielded up some new companies which are providing consumer a large range of services. Due to this the upcoming companies can now better concentrate on its major purpose and not have to worry about installing their own servers and about its maintenance. They can be very easily outsourcing it to these cloud suppliers saving a lot of capital and energy investment by them. Now, since the devices are increasing very fast a major matter of concern that needs an immediate attention has emerged and this is load balancing of rapid increasing load on the servers of cloud. All the resources that are connected to the cloud need to optimize its functionality so that the cloud providers can get proper ROI that is Return on Investment and resulting the cloud users worthwhile experience. This paper introduces a better load balancing model based on cloud partitioning concept for the public cloud with a switch mechanism so that there is a provision to choose different strategies for any type of different situations. This paper focuses on applying game theory to the load balancing strategy for improving the efficiency in the public cloud environment for large data sets.
Authors and Affiliations
NUKA SANTOSH KUMAR, MAYANK KUMAR, NISHI YADAV
Keywords
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