Paper Info
Title
Scalable Workflow System Model Based on Mobile Agents
Abstract
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.
Year
DOI
Venue
2001
10.1007/3-540-44637-0_16
PRIMA
Keywords
Field
DocType
proposed model segment,workflow definition,maximal sequence model,better scalability,workflow engine,workflow system,mobile agents,workflow task,scalable workflow system model,mobile agent,workflow system model,stochastic petri net
Workflow technology,Petri net,Document management system,Computer science,Windows Workflow Foundation,XPDL,Workflow engine,Workflow management system,Workflow,Distributed computing
Conference
ISBN
Citations 
PageRank 
3-540-42434-2
9
0.63
References 
Authors
5
4
Name
Order
Citations
PageRank
Jeong-Joon Yoo1347.41
Doheon Lee21144113.05
Young-ho Suh318124.12
Dongik Lee47714.46