Study the Effect of Parameters to Load Balancing in Cloud Computing
Tran Cong Hung, Nguyen Xuan Phi · International journal of Computer Networks & Communications · 2016
The rapid growth of users on the cloud service and number of services to the user increases the load on the servers at cloud datacenter.This issue is becoming a challenge for the researchers.And requires used effectively a load balancing technique not only to balance the resources for servers but also reduce the negative impact to the end-user service.The current, load balancing techniques have solved the various problems such as: (i) load balancing after a server was overloaded; (ii) load balancing and load forecast for the allocation of resources; iii) improving the parameters affecting to load balancing in cloud.The study of improving these parameters have great significance to improving system performance through load balancing.From there, we can propose more effective methods of load balancing, in order to increase system performance.Therefore, in this paper we researched some parameters affecting the performance load balancing on the cloud computing.