Efficient Load Balancing and Service Broker Policy Using Local and Global Representatives in Cloud Computing
Amrita Jyoti1, Shiv Singh Sarangdevot2, Munesh Chandra3

1Amrita Jyoti (Phd Scholar, Janaradan Rai Nagar Rajasthan Vidyapeeth University, Udaipur), Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad, India.
2Dr Shiv Singh Saragdevot, Department of Computer Science, Vice Chancellor of Janardan Rai Nagar Rajasthan Vidyapeeth University, Udaipur, India.
3Dr Munesh Chandra, Department of Computer Science & Engineering, National Institute of Technology, Agartala (Tripura), India.
Manuscript received on 06 August 2019 | Revised Manuscript received on 12 August 2019 | Manuscript published on 30 August 2019 | PP: 2680-2687 | Volume-8 Issue-10, August 2019 | Retrieval Number: J94450881019/19©BEIESP | DOI: 10.35940/ijitee.J9445.0881019
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Cloud computing is a technology in the field of computing which offer services to the customer from anywhere at any time [1]. In the cloud, resources are shared all around the work for quick servicing to the customer. The aggregation of two terms is referred as cloud computing. The term “cloud” is a pool of different resources offers services to the end customers and “computing” is done based on the Service Level Agreement (SLA) to make the resources efficiently to the customers. Load balancing is an important challenge in the environment of the cloud to increase the utilization of resources [3]. Here we proposed an algorithm which is based on load balancing and service broker policy. We user two representative thin the proposed approach local representative and global representative Local user representative is used to predict the parameters of user task and based on priority it allocate the task to the Virtual Machine (VM). Then for scheduling the task and provide the services to the users based on the available cloud brokers global user representative used Dynamic Optimal Load-Aware Service Broker (DOLASB).we used two scenario with different no. of user requests, in these scenario result of our proposed method is better as compared with the other existing methods in terms s of Execution Time, Makespan, Waiting Time, Energy Efficiency and Throughput.
Index Terms: Load Balancing, Service Broker Policy, Cloud Computing, Cloudsim.
Scope of the Article: Cloud Computing