DocumentCode :
3118807
Title :
Adaptive Workflow-Policy Based Management Scheme for Advanced Heart Disease Identification
Author :
Kim, Hoeyoung ; Youn, Chan-Hyun ; Kim, Dong-Hyun ; Song, Hyewon ; Shim, Eun-Bo
Author_Institution :
Dept. of Inf. & Commun. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
fYear :
2009
fDate :
14-16 Dec. 2009
Firstpage :
545
Lastpage :
549
Abstract :
Workflow management systems (WMS) in Grid computing are becoming more important to solve the sophisticated problem such as genomic analysis, drug discovery, disease identification, etc. In this paper, we discuss how to guarantee different user requirements according to user SLA in Grid workflow management system. An adaptive workflow management system for Quality of Service (QoS) constrained medical Grid application is designed and implemented to provide QoS awareness WMS and is applied to Physio-Grid e-health platform to identify human heart disease. The experimental result shows that the proposed system can flexibly enhance the Physio-Grid platform in terms of SLA guarantee of different user.
Keywords :
cardiology; diseases; grid computing; health care; medical diagnostic computing; patient diagnosis; quality of service; resource allocation; workflow management software; QoS constrained medical grid application; Quality of Service; adaptive workflow-policy based management; advanced heart disease identification; drug discovery; genomic analysis; grid computing; human heart disease; physio-grid e-health platform; resource allocation; workflow management system; Adaptive systems; Bioinformatics; Cardiac disease; Cardiovascular diseases; Drugs; Genomics; Grid computing; Humans; Quality of service; Workflow management software; Grid; Policy-based; Workflow; e-Health;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Systems, Algorithms, and Networks (ISPAN), 2009 10th International Symposium on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5403-7
Type :
conf
DOI :
10.1109/I-SPAN.2009.156
Filename :
5381613
Link To Document :
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