Paper Info
Title
Casting Mobile Agents to Workflow Systems: On Performance and Scalability Issues
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.
Year
DOI
Venue
2001
10.1007/3-540-44759-8_26
DEXA
Keywords
Field
DocType
mobile agents-based workflow system,workflow execution level,workflow system,massive workflow environment,previous mobile agent-based workflow,mobile agent-based workflow system,mobile agent,scalability issues,workflow engine,3-layer architecture,casting mobile agents,workflow systems,better performance,client server,stochastic petri net,layered architecture
Workflow technology,Petri net,Computer science,Mobile agent,Windows Workflow Foundation,Workflow engine,Workflow management system,Workflow,Database,Distributed computing,Scalability
Conference
Volume
ISSN
ISBN
2113
0302-9743
3-540-42527-6
Citations 
PageRank 
References 
2
0.40
6
Authors
6
Name
Order
Citations
PageRank
Jeong-Joon Yoo1347.41
Young-ho Suh218124.12
Dongik Lee37714.46
Seung-Woog Jung421.08
Choulsoo Jang542.07
Joong-bae Kim673.33