Enhanced load balancer with multi-layer processing architecture for heavy load over cloud network

Abstract

Load balancing is an efficient part of cloud computing environment which confirms that all procedures work similar amount of work in particular time period. The different types of algorithms for load balancing over cloud environment have been implemented with the main goal to develop cloud resources accessible to the end users with easy and accessibility. The main load balancing problem is the run time overload owed to the change of load data amongst CPUs, selection of processes for decision making and transfers the job from processor to processor. The proposed approach analyzes the conditions and divides the load balancing approach in multiple layers. The Multi-queue management policy is used to check and divide requests in multiple queues according to their execution priorities and other layer handles inner requests of the queue over cloud network using network manager. Due to handling of both phases of this area the problem of heavy load processing overcome in various terms like energy consumption, response time, network load. All these terms used to analysis the performance of a system along with heavy load on network. The proposed metrics calculated in .net platform and it achieves the overall 28% approximate enhancement in all the cases.