| EPSRC Reference: |
GR/S68040/01 |
| Title: |
AMUSE: Autonomic Management of Ubiquitous Systems for e-Health |
| Principal Investigator: |
Sventek, Professor J |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
School of Computing Science |
| Organisation: |
University of Glasgow |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 February 2004 |
Ends: |
31 May 2007 |
Value (£): |
243,626
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| EPSRC Research Topic Classifications: |
| Networks & Distributed Systems |
System on Chip |
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| EPSRC Industrial Sector Classifications: |
| Communications |
Information Technologies |
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| Panel History: |
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Summary on Grant Application Form |
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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.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.gla.ac.uk |