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http://dx.doi.org/10.3745/JIPS.2008.4.3.103

Policy Adjuster-driven Grid Workflow Management for Collaborative Heart Disease Identification System  

Deng, Shengzhong (Information and Communication University)
Youn, Chan-Hyun (Information and Communication University)
Liu, Qi (Information and Communication University)
Kim, Hoe-Young (Information and Communication University)
Yu, Taoran (Information and Communication University)
Kim, Young-Hun (Information and Communication University)
Publication Information
Journal of Information Processing Systems / v.4, no.3, 2008 , pp. 103-112 More about this Journal
Abstract
This paper proposes a policy adjuster-driven Grid workflow management system for collaborative healthcare platform, which supports collaborative heart disease diagnosis applications. To select policies according to service level agreement of users and dynamic resource status, we devised a policy adjuster to handle workflow management polices and resource management policies using policy decision scheme. We implemented this new architecture with workflow management functions based on policy quorum based resource management system for providing poincare geometrycharacterized ECG analysis and virtual heart simulation service. To evaluate our proposed system, we executed a heart disease identification application in our system and compared the performance to that of the general workflow system and PQRM system under different types of SLA.
Keywords
Grid Worfklow; Collaborative Healthcare Platform; SLA; Policy Adjuster;
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