Planning Enhanced Grid Workflow Management System Based on Agent

Lei Cao, Minglu Li, Jian Cao, Ying Li

Abstract: Grid computing is becoming a mainstream technology for large-scale distributed resource sharing and system integration. Workflow management is emerging as one of the most important grid services. In this paper, we present a planning enhanced grid workflow management system based on agent (AGWMS). AGWMS has a four-layer architecture. The agent layer makes the system more robust, flexible and intelligent. Artificial intelligence (AI) planning technology is utilized in the system to build the agent plans automatically. The adapter layer makes it easy that AGWMS invokes external applications. Our planning enhanced AGWMS is a novel one.