Swarm Intelligence Algorithm for Job Scheduling in Computational Grid
Mehdi Effatparvar, Somayeh Aghayi, Vahid Asadzadeh, Yosef Dashti · 2016
Grid computing is actually the next generation of distributed systems. Its objective is to create a powerful, large and autonomous virtual computer. This computer is created through assembling countless heterogeneous resources with the aim of sharing them. Scheduling is one of the most important and challenging issue of such systems. An accurate and efficient schedule is required to increase the grid efficiency. Grid resources belong to different management domains, each one applies different management policies. This paper proposed a new heuristic approach based on particle swarm optimization algorithm in order to scheduling the jobs in gird environment. The proposed algorithm would create an optimal scheduler to complete the jobs in the minimum flowtime and makespan.