Optimal resource utilization and load efficient approach in cloud environment

Abstract

Cloud Computing is the emerging trend in a large-scale distributed computing environment. It provides a number of services, which are in demand to distributive resources such as servers, databases and software systems. The cloud is meant to be effective when it optimizes the load of different reconfigurable virtual machines. The emerging data world is providing a system that efficiently manages the resources which will be a very tedious task. Cloud computing has driven the creation of Data Centres made up of more than thousand servers that are capable of supporting a large number of services. The cost of maintaining the cloud data centres is extremely high. Resource usage is estimated and clients pay precisely for their utilization. Cloud is the most trending technology used at almost in every part of the business and in every field of business. Cloud provides number of services in a wider spectrum to cloud users from anywhere at any time but it has achieved through several parameters like deployment model, resource optimization, load optimization etc. In the present scenario, Load optimization is playing a crucial role in cloud computing on behalf of the system performance. The best optimization technique goal is to fulfil the user s requirement efficiently with minimal resources and processing time. Parallel task processing is highly demanded in cloud application. The CPU resources are needed to move for parallelism growth due to communication and synchronization of parallel job arrival in cloud. It is difficult but is highly demanded for a Data Centre to responds to the task arrived in a parallel way. The current system has limitations in identifying the job arrival pattern and it is difficult to optimize the load due to the capability of each node in a different scenario. Non trivial effort is needed in the cloud environment with the Data Centers. The existing approaches are unable to provide the best solution due to various factors such as accuracy problems which arises due to utilization of mutation operato