EPSRC Reference: |
GR/L10222/01 |
Title: |
COMPUTER SYSTEM MODELLING VIA MARKOVIAN PROCESS ALGEBRA (COMPA) |
Principal Investigator: |
Harrison, Professor PG |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Computing |
Organisation: |
Imperial College London |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 October 1997 |
Ends: |
30 June 2000 |
Value (£): |
179,162
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EPSRC Research Topic Classifications: |
Networks & Distributed Systems |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The proposed research will, by exploring the relationship between process algebras and Markov chains, develop efficient techniques which may be applied in a systematic way to the performance analysis of large, complex systems. On the practical side, we will utilise the resulting methodology to address the modelling and analytical challenges presented by the next generation of computer and communication systems. Markovian process algebras (MPA) are extensions of classical process in which time and probabilistic elements are introduced. The major advantage of MPAs is their inherent compositional structure which facilitates hierarchical construction and analysis of models. The proposed research will exploit the benefits of the MPA approach by using particular structures identified within models to enhance model solution.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.imperial.ac.uk |