Performance Evaluation of Load Balancing Algorithms in Cloud Environment
Keywords:
Cloud Computing, Traditional Computing, Load Balancing TechniquesAbstract
Cloud computing has many advantages over traditional computing like scalability, elasticity, accessibility. Due to these advantages, it has gained popularity in the Information Technology industry. The popularity of cloud computing has forced all organizations (including Micro Small and Medium Enterprises) to move their businesses from traditional computing to cloud computing. This transition has increased cloud-based services worldwide. The growth in cloud adoption has resulted in a high surge of network traffic. Failure to handle this enormous traffic may result in reduced system performance, inefficient resource utilization, server outage. One of the solutions for these problems is cloud load balancers.
In this paper, we focus on a load balancing technique as first come first service (FCFS), short job first scheduling (SJF) and Round Robin for cloud load balancers to distribute load among all available resources and reduces the makespan time of tasks. The algorithm is implemented and analyzed using CloudSim simulator. Performance measurement and evaluation is done by Makespan time of number of cloudlet with given virtual machine and compare with existing algorithms.
Calculated results demonstrate that the developed method outperforms the existing method first service (FCFS), short job first scheduling (SJF) and Round Robin.
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