Comparative Study of Effects of Delay in Load Balancing Scheme for Highly Load Variant Interactive Applications

Distributed computing architectures utilize a set of computational elements (CEs) to achieve performance that is not attainable on a single CE. Conventional load balancers have proven effective in increasing the utilization of CPU, memory, and disk I/O resources in a Distributed environment. However, most of the existing load-balancing schemes ignore network resources, leaving an opportunity to improve the network resources like delay or effective bandwidth of networks running parallel applications.Load balancing becomes more challenging in interactive applications as load variation is very large and the load on each server may change dramatically over time, by the time when a server is to make the load migration decision, the collected load status from other servers may no longer be valid. This will affect the accuracy, and hence the performance, of the load balancing algorithms. All the existing methods neglect the effect of network delay among the servers on the accuracy of the load balancing solutions. In this paper, due to the change in the load of the server, network delay would affect the performance of the load balancing algorithm will be discussed.