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AMUSE: Autonomic Management of Ubiquitous Systems for e-Health



Future e-Science and e-Health applications will involve mobile users, possibly with on-body sensors interacting with a ubiquitous computing environment which detects their activity, current context and adapts accordingly. However, the promise of such ubiquitous computing environments will not be realised unless these systems can effectively "disappear"; and for this they need to become autonomous by managing their own evolution and configuration changes without explicit user or administrator action. This project will develop the architecture, tools and techniques which permit these environments to become self-managing. To provide self-management at varying levels (for individual devices, for simple body-area or home-area networks, as well as large-scale network infrastructures) we advocate the concept of a self-managed cell (SMC) as the basic architectural pattern at both local and integrated levels. We will define, prototype and evaluate architectures based on the SMC pattern and their use in e-Health applications. To this end we will: define and implement the core SMC pattern in terms of the monitoring, service-discovery, context and policy-control services required for basic adaptation mechanisms, investigate how SMCs can be dynamically structured into larger structures and specialise SMCs and their interactions for two e-Health application scenarios.

Maturity: Initial Research
Region: UK
Type: EPSRC Computing Science
Grant Value: £513,534.00
Start Date: 01/02/2004
End Date: 31/03/2007
Project Status: funded
Funding Agency: EPSRC

Project Members
Prof Joe Sventek (Local)

Collaborating Organisations
Department of Computing Science (University of Glasgow)
Imperial College London

Component(s) Project Develops
This project is not associated with any components at present.

Application Area(s) associated with Project
This project is not associated with any application areas at present.


Last Updated: 22 Jun 12 11:02
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