DocumentCode
496202
Title
Realising management and composition of Self-Managed Cells in pervasive healthcare
Author
Schaeffer-Filho, Alberto ; Lupu, Emil ; Sloman, Morris
Author_Institution
Dept. of Comput., Imperial Coll. London, London, UK
fYear
2009
fDate
1-3 April 2009
Firstpage
1
Lastpage
8
Abstract
Research in pervasive and autonomic computing focuses on supporting services for pervasive applications, but often ignores how such applications can be realised through the federation of autonomous entities. In this paper we propose a methodology for designing collaborations between autonomous components, using the Self-Managed Cell (SMC) framework. We focus on the structural, task-allocation and communication aspects of management interactions between SMCs. We propose a catalogue of architectural styles for SMC interactions, and a model for combining architectural styles in patterns of interactions that can be enforced by different SMCs in large collaborations. This allows us to specify the management of large-scale systems by composing management functions using architectural styles as building block abstractions. A scenario for a health monitoring application involving a number of SMCs is used throughout the paper to illustrate how complex structures can be thus built.
Keywords
health care; patient monitoring; ubiquitous computing; architectural styles; autonomic computing; autonomous component collaboration; communication aspect; health monitoring; large-scale system management; pervasive computing; pervasive healthcare; self-managed cell framework; structural aspect; task-allocation aspect; Application software; Collaboration; Collaborative work; Decision making; Design methodology; Educational institutions; Medical services; Patient monitoring; Pervasive computing; Sliding mode control;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing Technologies for Healthcare, 2009. PervasiveHealth 2009. 3rd International Conference on
Conference_Location
London
Print_ISBN
978-963-9799-42-4
Electronic_ISBN
978-963-9799-30-1
Type
conf
DOI
10.4108/ICST.PERVASIVEHEALTH2009.5979
Filename
5191198
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