Reference Point Based Evolutionary Approach for Workflow Grid Scheduling
Keywords:
Multi-objective scheduling; DAG; grid computing; MOEAAbstract
Grid computing facilitates the users to consume
the services over the network. In order to optimize the
workflow execution, multi-objective scheduling algorithm is required. In this paper, we considered two conflicting objectives of execution time (makespan) and total cost. We propose a scheduling algorithm,
using Reference Point Based multi-objective evolutionary algorithm (R-NSGA-II), which
provides the optimal scheduling solutions near the regions of user preference within the given quality of service constraints. The simulation results show the multiple solutions are obtained near each user specified regions of interest.
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