Efficient Data Center Selection Policy for Service Proximity Service Broker in CloudAnalyst

Abstract

Cloud Service Providers offer flexible, on demand and measured infrastructure services. In Public Cloud, tenants have control over OS, storage, and deployed applications. Resources are provisioned in different geographic regions. For organizations, performance of an Application deployed in multiple regions is a matter of concern in Public Cloud deployment model. Proof of Concepts in Public Cloud environment gives better understanding but it costs organization heavily in terms of capacity building and resource usage.

To study such dynamic and massively distributed environment, simulation of Cloud environments and Applications to evaluate application performance can provide useful insight. CloudSim is a toolkit for modeling and simulation of Cloud computing Environments and assessment of resource provisioning algorithms. CloudAnalyst is built upon CloudSim with user friendly GUI. In this paper, we have applied Round-Robin load balancing policies for distributing load among multiple Data Centers available in same region. This policy results into efficient resource utilization from the Cloud Service Provider’s perspective.

Key Words: Cloud computing, Data Center, Region, Service Broker Policies, Simulation.