Using Statistical Assertions to Guide Self-Adaptive Systems
Autor: | Stephan C. Stilkerich, Wayne Luk, Tim Todman |
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Rok vydání: | 2014 |
Předmět: |
Class (computer programming)
lcsh:Computer engineering. Computer hardware Theoretical computer science Article Subject Cover (telecommunications) Computer science Response time lcsh:TK7885-7895 Self adaptive 02 engineering and technology Software implementation 020202 computer hardware & architecture Resource (project management) Computer engineering Hardware and Architecture 020204 information systems 0202 electrical engineering electronic engineering information engineering Relevance (information retrieval) Pairwise comparison |
Zdroj: | International Journal of Reconfigurable Computing, Vol 2014 (2014) International Journal of Reconfigurable Computing |
ISSN: | 1687-7209 1687-7195 |
DOI: | 10.1155/2014/724585 |
Popis: | Self-adaptive systems need to monitor themselves, to check their internal behaviour and design assumptions about runtime inputs and conditions. This kind of monitoring for self-adaptive systems can include collecting statistics about such systems themselves which can be computationally intensive (for detailed statistics) and hence time consuming, with possible negative impact on self-adaptive response time. To mitigate this limitation, we extend the technique of in-circuit runtime assertions to cover statistical assertions in hardware. The presented designs implement several statistical operators that can be exploited by self-adaptive systems; a novel optimization is developed for reducing the number of pairwise operators fromONtoOlogN. To illustrate the practicability and industrial relevance of our proposed approach, we evaluate our designs, chosen from a class of possible application scenarios, for their resource usage and the tradeoffs between hardware and software implementations. |
Databáze: | OpenAIRE |
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