Context-aware Task Distribution for Enhanced M-health Application Performance


Mei, Hailiang and Beijnum, Bert-Jan van and Widya, Ing and Jones, Val and Hermens, Hermie (2009) Context-aware Task Distribution for Enhanced M-health Application Performance. In: Phillip Olla & Joseph Tan (Eds.), Mobile Health Solutions for Biomedical Applications. Advances in Healthcare Information Systems and Informatics (AHISI) Series . Medical Information Science Reference, New York, pp. 285-307. ISBN 9781605663326

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Abstract:Building context-aware mobile healthcare systems have become increasingly important with the emergence of new medical sensor technologies, the fast adoption of advanced mobile systems, and improved quality of care required by today’s patients. A unique feature of our mobile healthcare system is a distributed processing paradigm whereby a set of bio-signal processing tasks is spread across a heterogeneous network. As well as applying the traditional adaptation methods such as protocol adaptation and data prioritization, the authors investigate the possibility of adaptation based on dynamic task redistribution. In this chapter, the authors propose an adaptation middleware that consists of a task assignment decision mechanism and a task redistribution infrastructure. The decision mechanism represents task assignment as a graph mapping problem and searches for the optimal assignment given the latest context information. Once a new assignment is identified, the member tasks are distributed accordingly by the distribution infrastructure. A prototype implementation based on the OSGi framework is reported to validate the task redistribution infrastructure.
Item Type:Book Section
Copyright:© 2009 IGI Global
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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