A Comparative Study on Load Balancing Algorithms with Different Service Broker Policies in Cloud Computing

Abstract- Cloud computing is emerging as a new paradigm of large scale distributed computing. It enables a wide range of users to access scalable, virtualized hardware, distributed and/or software infrastructure over the Internet. One of the challenging scheduling problems in Cloud datacenters is to take the allocation and migration of reconfigurable virtual machines into consideration as well as the integrated features of hosting physical machines. In order to select the virtual nodes for executing the task, Load Balancing is used. It is the process of distributing workload across multiple computers, or other resources over the network links to achieve optimal resource utilization, minimum data processing time, minimum average response time, and to avoid overload. Load Balancing ensures that all the processors in the system as well as in the network do approximately the equal amount of work at any instant of time. To simulate large scale applications Cloud-Analyst, the Cloud-Sim based tool is used. The simulator uses different Service Broker Algorithms, Load Balancing Algorithms etc. with taking some parameters under consideration as per requirement. The objective of this paper is to analyze the performance of existing load balancing algorithms with different service broker policies