Projects per year
Abstract
Given that real-time systems are specified to a degree of confidence, budget overruns should be expected to occur in a system at some point. When a budget overrun occurs, it is necessary to understand how long such a state persists, in order to determine if the fault tolerance of the system is adequate to handle the problem. However, given the rarity of budget overruns in testing, it cannot be assumed that sufficient data will be available to build an accurate model. Hence this paper presents a new application of Markov Chain based modelling techniques combined with forecasting techniques to determine an appropriate fault model, using Lossy Compression to fit the model to the available data. In addition, a new algorithm, DepET, for generating job execution times with dependencies is given for use in task simulators.
Original language | English |
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Title of host publication | Proceedings of the 23rd International Conference on Real-Time Networks and Systems |
Subtitle of host publication | Proceedings of the 23rd International Conference on Real Time and Networks Systems |
Place of Publication | New York |
Publisher | ACM |
Pages | 65-74 |
ISBN (Print) | 978-1-4503-3591-1 |
DOIs | |
Publication status | Published - Nov 2015 |
Event | 23rd International conference on Real-Time Networks and Systems (RTNS 2015) - , United Kingdom Duration: 4 Nov 2015 → 6 Nov 2015 |
Conference
Conference | 23rd International conference on Real-Time Networks and Systems (RTNS 2015) |
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Country/Territory | United Kingdom |
Period | 4/11/15 → 6/11/15 |
Projects
- 2 Finished
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PROXIMA - Probabilistic real-time control of mixed criticality multicore and manycore systems
1/10/13 → 30/09/16
Project: Research project (funded) › Research