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Self-optimization property in autonomic specification of distributed MARF with ASSL

Date
2009
Abstract
In this work, we venture out to develop self-optimization features in the Distributed Modular Audio Recognition Framework (DMARF). Here, we use the Autonomic System Speci cation Language (ASSL) to specify a self-optimization policy and generate the code for the same. This completes the rst iteration of the autonomic speci cation layer for DMARF and enables re-engineered autonomic DMARF system, which also includes self-healing and self-protection, both developed earlier.
Supervisor
Description
peer-reviewed
Publisher
Citation
4th International Conference on Software and Data Technologies;2009
Collections
Lero - The Science Foundation Ireland Research Centre for Software
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2009_Vassev%20%26%20Mokhov.pdf
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Keywords
self-optimization, algorithms, software engineering, DMaRF
ULRR Identifiers
https://researchrepository.ul.ie/handle/10344/2104
 https://doi.org/10.34961/770
Funding code
Funding Information
Irish Research Council for Science, Engineering and Technology (IRCSET), Science Foundation Ireland (SFI)
Sustainable Development Goals
External Link
Type
Meetings and Proceedings
Rights
https://creativecommons.org/licenses/by-nc-sa/1.0/
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