gholamreza Ahmadi

Cloud computing is considered an applied technology in the present era. In this context, computing resources are exploited as a service. Cloud computing mainly emphasizes on the optimal use of computing resources. The basic services of cloud computing are SaaS, PaaS, SaaS and IaaS. Cloud users use cloud services on a "pay and use" basis. The number of users and services of this technology is increasing every day. In this regard, it is a challenging issue for cloud service providers to provide efficient services with optimal cost to cloud users. In cloud computing, traffic load balancing is of vital importance in improving cloud performance. A load balancing approach transfers the task of an overloaded machine to a machine with a suitable load without affecting the current user activities. To date, various load balancing techniques have been proposed by researchers in the field of cloud computing. Existing traffic load balancing methods face various issues such as poor throughput, higher waiting time, inappropriate parity, and inappropriate time spent. In this paper, we evaluate various performance improvement parameters and load balancing methods for cloud computing.