BT Technology Journal
PNPM '95 Proceedings of the Sixth International Workshop on Petri Nets and Performance Models
A Reliable Mobile Agents Architecture
ISORC '98 Proceedings of the The 1st IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
DartFlow: A Workflow Management System on the Web using Transportable Agents
DartFlow: A Workflow Management System on the Web using Transportable Agents
Scalable Home Network Interaction Model Based on Mobile Agents
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
What agents can do in workflow management systems
Artificial Intelligence Review
An hybrid intermediation architectural approach for integrating cross-organizational services
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Ensuring reliability in B2B services: Fault tolerant inter-organizational workflows
Information Systems Frontiers
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A workflow system defines, creates and manages the execution of business workflows with workflow engines, which interpret workflow definitions, and interact with task performers. As most of non-trivial organizations have massive amount of workflows to process simultaneously, there is ever-increasing demands for better performance and scalability of workflow systems. This paper proposes a workflow system model based on mobile agents, so called Maximal Sequence model, as an alternative to conventional RPC-based and previous mobile agent-based (DartFlow) models. The proposed model segments a workflow definition into blocks, and assigning each of them to a mobile agent. We also construct three stochastic Petri net models of conventional RPC-based, DartFlow, and the Maximal Sequence modelbased workflow systems to compare their performance and scalability. The stochastic Petri-net simulation results show that the proposed model outperforms the previous ones as well as comes up with better scalability when the numbers of workflow tasks and concurrent workflows are relatively large.