Conference,
A Modified Genetic Algorithm based Load Distribution Approach towards Web Hotspot rescue
(2013)
Abstract
Web hotspot is a serious problem often experienced in case popular websites. It
provides dramatic load spike in a website, which occurs when a huge number of users
accessing the same website. A prominent solution to this problem is server load balancing.
Dynamic load balancing involves allocation of requests to the server or processor
dynamically when they arrive. For effective load balancing, a near-optimal schedule of
incoming requests or processes must be determined “on-the-fly”, so that execution of
requests can be completed in shortest possible time. So we have proposed a Genetic
Algorithm based load balancing scheme which relies on a process scheduling policy. Genetic
Algorithm provides to search for the optimal solution out a search of candidate solutions. It
follows the survival-of-the-fittest principle, to achieve the optimal solution, through a
number of generations. The proposed algorithm is evaluated for various population size and
number of generations, to maximize the processor utilization of nodes/ processors in the
system.
