Using Statistical Assertions to Guide Self-Adaptive Systems
Joint Authors
Todman, Tim
Stilkerich, Stephan
Luk, Wayne
Source
International Journal of Reconfigurable Computing
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-13
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
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 from ON to OlogN.
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.
American Psychological Association (APA)
Todman, Tim& Stilkerich, Stephan& Luk, Wayne. 2014. Using Statistical Assertions to Guide Self-Adaptive Systems. International Journal of Reconfigurable Computing،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-493557
Modern Language Association (MLA)
Todman, Tim…[et al.]. Using Statistical Assertions to Guide Self-Adaptive Systems. International Journal of Reconfigurable Computing No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-493557
American Medical Association (AMA)
Todman, Tim& Stilkerich, Stephan& Luk, Wayne. Using Statistical Assertions to Guide Self-Adaptive Systems. International Journal of Reconfigurable Computing. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-493557
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-493557