Client Server Communication with Effective Resource Balancing in Cloud Computing using Genetic Algorithm

Abstract

A network in computers consists of a set of interconnected computers using an appropriate technique. In cloud computing, every client and server is unique and has different processing capability. Each server is independent where resource allocation is an important feature for the system to appear as a single network. So the performance of the system depends on the allocation of work among the servers effectively. It is the combination of various factors like latency, throughput, consistency, reliability, and performance. The concept of dynamic resource balancing can be introduced to efficiently manage the factors to be fulfilled in a distributed network. Every client in the network benefits from dynamic resource balancing. In turn, all tasks benefit from resource balancing. The resource balancing comprises of both physical and logical features. The time, cost, performance must be optimized through resource balancing. The paper describes a model for resource balancing in the system to manage the performance through the Internet in cloud computing. This proposed algorithm can be applied to n-processor dynamic systems. This will prove effective to reduce the server resources