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International Journal of Advanced Engineering, Management and Science


Performance Improvement of Cloud Computing Data Centers Using Energy Efficient Task Scheduling Algorithms

( Vol-4,Issue-8,August 2018 )

Author(s): A.S.Umesh, Dr. Parveen Kumar



Total View : 328
Downloads : 14
Page No: 633-636
ijaems crossref doiDOI: 10.22161/ijaems.4.8.9

Keywords:

Data Center, Cloud computing, Virtual Machines, Physical Machines, Workloads, Energy, Utilization of Resources, Operating System, etc.

Abstract:

Cloud computing is a technology that provides a platform for the sharing of resources such as software, infrastructure, application and other information. It brings a revolution in Information Technology industry by offering on-demand of resources. Clouds are basically virtualized datacenters and applications offered as services. Data center hosts hundreds or thousands of servers which comprised of software and hardware to respond the client request. A large amount of energy requires to perform the operation.. Cloud Computing is facing lot of challenges like Security of Data, Consumption of energy, Server Consolidation, etc. The research work focuses on the study of task scheduling management in a cloud environment. The main goal is to improve the performance (resource utilization and redeem the consumption of energy) in data centers. Energy-efficient scheduling of workloads helps to redeem the consumption of energy in data centers, thus helps in better usage of resource. This is further reducing operational costs and provides benefits to the clients and also to cloud service provider. In this abstract of paper, the task scheduling in data centers have been compared. Cloudsim a toolkit for modeling and simulation of cloud computing environment has been used to implement and demonstrate the experimental results. The results aimed at analyzing the energy consumed in data centers and shows that by having reduce the consumption of energy the cloud productivity can be improved.

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