Enhanced Throttled Algorithm in Cloud Computing

Abstract

Recently, cloud computing become a new global trend of computing. It is a modern style of using the power of Internet and wide area network (WAN) to offer resources remotely. It’s a new solution and strategy to achieve high availability, flexibility, cost reduction and on demand Scalability. However cloud computing has many challenges such as poor resource utilization which has deep impact in the performance of cloud computing. These problems arisen due to the huge amounts of information. So the need for efficient and powerful cloud computing load balancing algorithms is one of the most important issues in this area to improve the performance of cloud computing. Many researchers proposed various load balancing and job scheduling algorithms in cloud computing but there is still some inefficiency in the system performance and load still imbalance. Therefore, in this research an enhanced throttled load balancing algorithm is proposed to improve the performance and efficiency of throttled algorithm by distributing the incoming requests to the index table which contains only available (idle) virtual machines. This eliminates the need to queue those requests, which may in turn have the effect on the response time .the proposed algorithm allocates the incoming request in a very efficient and fair way. The performance of proposed algorithm is analyzed using Cloud Analyst simulator and compared with the original Throttled algorithm. The simulation result demonstrate that the proposed algorithm improve the response time of the request and data center processing time and also incoming request is distribute to all available virtual machine with-out over or under utilization