Grid Workflow Scheduling Based on Multi-Objective Particle Swarm Algorithm
WU Hai-bo · Journal of Anhui University of Science and Technology · 2012
The grid environment is characterized by openness and being dynamic.Grid resources,users and management strategies may be dynamically changed with time,therefore it's important to solve multi-objective optimization problem in grid workflow scheduling system.In the paper Multi-Objective Particle Swarm Optimization algorithm was applied to multi-objective optimization problem of grid workflow scheduling,and the MOPSO algorithm was improved to better adapt to grid workflow scheduling system.Experimental results showed that the algorithm is feasible and has good extensibility.