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