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


Shengzhong Deng, Chan-Hyun Youn, Qi Liu, Hoe Young Kim, Taoran Yu, Young Hun Kim, Journal of Information Processing Systems Vol. 4, No. 3, pp. 103-112, Sep. 2008  

https://doi.org/10.3745/JIPS.2008.4.3.103
Keywords: Grid Worfklow, Collaborative Healthcare Platform, SLA, Policy Adjuster
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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.


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Cite this article
[APA Style]
Deng, S., Youn, C., Liu, Q., Kim, H., Yu, T., & Kim, Y. (2008). Policy Adjuster-driven Grid Workflow Management for Collaborative Heart Disease Identification System. Journal of Information Processing Systems, 4(3), 103-112. DOI: 10.3745/JIPS.2008.4.3.103.

[IEEE Style]
S. Deng, C. Youn, Q. Liu, H. Y. Kim, T. Yu, Y. H. Kim, "Policy Adjuster-driven Grid Workflow Management for Collaborative Heart Disease Identification System," Journal of Information Processing Systems, vol. 4, no. 3, pp. 103-112, 2008. DOI: 10.3745/JIPS.2008.4.3.103.

[ACM Style]
Shengzhong Deng, Chan-Hyun Youn, Qi Liu, Hoe Young Kim, Taoran Yu, and Young Hun Kim. 2008. Policy Adjuster-driven Grid Workflow Management for Collaborative Heart Disease Identification System. Journal of Information Processing Systems, 4, 3, (2008), 103-112. DOI: 10.3745/JIPS.2008.4.3.103.