DocumentCode
1598185
Title
Building a Context-Aware Ambient Assisted Living Application Using a Self-Adaptive Distributed Model
Author
Segarra, Maria Teresa ; Andre, Frederic
Author_Institution
Dept. of Comput. Sci., IT/TELECOM-Bretagne, Brest
fYear
2009
Firstpage
40
Lastpage
44
Abstract
Ambient assisted living (AAL) applications are intended to allow elderly people to stay at home while connected to their family and medical staff. These applications involve several services as health-care services or infotainment, which are executed on different environments such as hospital, proximity doctor, family homes. These environments constitute a distributed, heterogeneous, highly dynamic infrastructure that makes it necessary to build AAL applications as adaptive software including the necessary mechanisms to dynamically modify their behavior. In this paper we propose a multi-level model to build context-aware self-adaptive entities: the basic level defines the mandatory functionalities for adaptive entities, while upper-levels define how to coordinate adaptation of primitive or composite entities. The generic nature of the model is illustrated by its use when building a self-adaptive distributed data management service for an AAL application.
Keywords
distributed processing; fault tolerant computing; geriatrics; handicapped aids; health care; home computing; medical computing; ubiquitous computing; AAL application; adaptive software; context-aware ambient assisted living application; elderly people; health-care service; infotainment service; medical staff; self-adaptive distributed data management service; self-adaptive heterogeneous distributed model; Adaptation model; Aging; Application software; Computer science; Context modeling; Europe; Hospitals; Senior citizens; Telecommunications; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Autonomic and Autonomous Systems, 2009. ICAS '09. Fifth International Conference on
Conference_Location
Valencia
Print_ISBN
978-1-4244-3684-2
Electronic_ISBN
978-0-7695-3584-5
Type
conf
DOI
10.1109/ICAS.2009.13
Filename
4976578
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