Response Time Based Load Balancing in Cloud Computing

Rapid growth of the users on Cloud services combined with the growth in the number of services provided to user increases the load on the Cloud servers multifold. This problem becomes more critical when some of the Cloud servers are under loaded and some overloaded. This necessitates an effective Load Balancing technique that can serve the purpose of not only properly utilizing the servers but also reducing the negative impact on the user services. The existing Load Balancing techniques suffer from various issues like (i) balancing the load after a server has been overloaded, (ii) constant querying the server about availability of its resources, hence, increasing computation costs and bandwidth consumption. This paper proposes an algorithm that takes a preventive approach of Load Balancing by considering only the response time of the each request. Based on the response time, the proposed method decides the allocation of next incoming request. The approach is not only dynamic in nature, but also reduces the communication and extra computation on each server. The algorithm is implemented and tested. Results prove the performance of proposed algorithm.