Cloud Computing - Partitioning Algorithm and Load Balancing Algorithm

Abstract

Tremendous usage of internet has made huge data on the network, without compromising on the performance of network the end-users must obtain best service. As cloud provides different services on leasing basis many companies are migrating from their own Infrastructure to cloud,This migration should not compromise on performance of the cloud, The performance of the cloud can be improved by having excellent load balancing strategy such that the end user is satisfied. The paper reveals the method by which a cloud can be partitioned and a study of different algorithm with comparative study to balance the dynamic load. The comparative study between Ant Colony and Honey Bee algorithm gives the result which algorithm is optimal in normal load condition also the simplest round robin algorithm is applied when the partition are in Idle state

Comprehensive review of load balancing in cloud computing system

“…Nadaph and Maral [25] developed partitioning algorithm and load balancing algorithm for cloud computing the paper reveals the method by which a cloud can be partitioned and a study of different algorithm with comparative study to balance the dynamic load. The comparative study between ant colony and honey bee algorithm gives the result which algorithm is optimal in normal load condition also the simplest round robin algorithm was applied when the partitions are in idle state.…”

Resource Management Using ANN-PSO Techniques in Cloud Environment

“…The Ipso algorithm is to improve the task scheduling in cloud computing environment and main work is to describe using PSO with the simulated annealing algorithm. IPSO is used to achieve the optimal virtual machine with the help of using resources scheduling in cloud computing environment to find out the effective solution to solve complexity on the computation of the virtual machine in [5,6,7]. The heuristics algorithm for managing the resources and allocation of the resource with energy aware in data centers some parameters of the quality of services.…”