DocumentCode :
3011145
Title :
Runtime data-driven adaptation of composite e-Health services
Author :
Stelmach, Pawel ; Falas, Lukasz
Author_Institution :
Inst. of Comput. Sci., Wroclaw Univ. of Technol., Wrocław, Poland
fYear :
2013
fDate :
9-12 Oct. 2013
Firstpage :
85
Lastpage :
89
Abstract :
In this paper, an approach to e-Health service adaptation, based on input data analysis is presented. The developed approach can be applied to various services, not only e-Health, however, the motivating scenario presents interesting aspects of the problem and a challenge for efficient service adaptation. The adaptation is presented here as an extension of service composition approach, allowing for increase of efficiency compared to the standard approach, when non-functional parameters are static and their values are not considered to change irrelevantly of the data provided on the input. The adaptation approach has been developed for the service composition platform and its execution engine, to allow for automated service adaptation, given the results of service composition. The tests have been performed using the service composition platform and classification methods from WEKA workbench software.
Keywords :
data analysis; medical computing; pattern classification; service-oriented architecture; WEKA workbench software; automated service adaptation; classification methods; composite e-health services; e-Health service adaptation; input data analysis; nonfunctional parameters; runtime data-driven adaptation; service composition platform; Accidents; Conferences; Engines; Feature extraction; Monitoring; Quality of service; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Health Networking, Applications & Services (Healthcom), 2013 IEEE 15th International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4673-5800-2
Type :
conf
DOI :
10.1109/HealthCom.2013.6720644
Filename :
6720644
Link To Document :
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