An Autonomic Workflow Management System for Global Grids

Workflow management system is generally utilized to define, manage and execute workflow applications on grid resources. However, the increasing scale complexity, heterogeneity and dynamism of grid environment that includes networks, resources and applications have made such workflow management systems brittle, unmanageable and insecure. Autonomic computing provides a holistic approach for the design and development of systems/applications that can adapt themselves to meet requirements of performance, fault tolerance, reliability, security, etc., without manual intervention. Therefore, this research aims to design and develop mechanisms for building an autonomic workflow management system that will incorporate the properties of autonomic computing and exhibit the ability to reconfigure itself to the changes in the Grid environment, discover, diagnose and react to the disruptions of workflow execution, and monitor and tune Grid resources automatically.