%0 Journal Article
%T GLOA: A New Job Scheduling Algorithm for Grid Computing
%A Zahra Pooranian
%A Mohammad Shojafar
%A Jemal H. Abawajy
%A Mukesh Singhal
%J International Journal of Interactive Multimedia and Artificial Intelligence
%D 2013
%I ImaI-Software
%X The purpose of grid computing is to produce a virtual supercomputer by using free resources available through widespread networks such as the Internet. This resource distribution, changes in resource availability, and an unreliable communication infrastructure pose a major challenge for efficient resource allocation. Because of the geographical spread of resources and their distributed management, grid scheduling is considered to be a NP-complete problem. It has been shown that evolutionary algorithms offer good performance for grid scheduling. This article uses a new evaluation (distributed) algorithm inspired by the effect of leaders in social groups, the group leaders' optimization algorithm (GLOA), to solve the problem of scheduling independent tasks in a grid computing system. Simulation results comparing GLOA with several other evaluation algorithms show that GLOA produces shorter makespans.
%K Artificial intelligence
%K Distributed Computing
%K Grid computing
%K Job Scheduling
%K Makespan
%U http://www.ijimai.org/journal/sites/default/files/files/2013/03/ijimai20132_18_pdf_62825.pdf