Agent Controlled Loop Scheduling in Grid Environment and Its Application to Protein Folding Optimization

Abstract

Scientific and engineering problems often require the large amount of computing resources to conduct large-scale simulations with a wide range of input parameters. This paper describes an application parameter meta service and agent controlled loop scheduling for executing multiple parameter sweep jobs in the distributed environment. The proposed system provides a flexible and practical environment for generating multiple jobs and fast scheduling those jobs into collective Grid environment.