DocumentCode
2197272
Title
Studies of Agent Composition Model of PSE-Bio Workflow
Author
Xie, Jiang ; Zhang, Yiwen ; Zhang, Wu ; Mao, Guoyong ; Mei, Jian
Author_Institution
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
fYear
2008
fDate
7-12 Dec. 2008
Firstpage
743
Lastpage
748
Abstract
An agent is introduced into workflow management of PSE-Bio, and the agent composition model for workflow in Web service-based PSE is also proposed in this paper. In this model, workflow can cooperate with three kinds of autonomy agent which are interface agent, task agent and resource agent, so as to realize heterogeneous services integration and distributed task management based on intelligence and negotiation mechanism of agent. With this model, resource encapsulation and monitoring of service status can be implemented, the flexibility of workflow execution mode can be enhanced, and the self-determination of user to interact with workflow is improved. The workflow can be more adaptable to bioinformatics PSE in grid environment. The function modules, categorization and schedule strategy in this model are discussed. This model is implemented with protein interaction network search as an example.
Keywords
Web services; bioinformatics; encapsulation; grid computing; multi-agent systems; workflow management software; PSE-Bio; Web service; agent composition model; autonomy agent; bioinformatics; distributed task management; grid environment; heterogeneous services integration; interface agent; negotiation mechanism; protein interaction network search; resource agent; resource encapsulation; service status monitoring; task agent; workflow management; Artificial intelligence; Automation; Bioinformatics; Biological system modeling; Biology computing; Intelligent agent; Java; Problem-solving; Systems biology; Workflow management software; Agent Composition Model; Bioinformatics; PSE; Web Service; workflow management system;
fLanguage
English
Publisher
ieee
Conference_Titel
eScience, 2008. eScience '08. IEEE Fourth International Conference on
Conference_Location
Indianapolis, IN
Print_ISBN
978-1-4244-3380-3
Electronic_ISBN
978-0-7695-3535-7
Type
conf
DOI
10.1109/eScience.2008.174
Filename
4736893
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