Abstract
In this paper we describe two important design issues of mobile agents-based workflow systems; in architecture and workflow execution levels. Solutions for better performance and scalability of workflow systems are proposed. We suggest 3-layer architecture and agent delegation model in architecture and workflow execution levels of workflow systems respectively. Mobile agents effectively distribute workloads of a naming/location server and a workflow engine to others based on the proposed methods. In consequence, the performance and the scalability of workflow systems are improved. This effectiveness is shown through comparison with client server-based and another mobile agent-based workflow systems with stochastic Petri-nets simulation. Simulation results show that our approach not only outperforms others in massive workflow environment but also comes up with the scalability of previous mobile agent-based workflow systems.
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