Cited By
View all- Bencomo NGötz SSong H(2019)[email protected]Software and Systems Modeling (SoSyM)10.1007/s10270-018-00712-x18:5(3049-3082)Online publication date: 1-Oct-2019
Monitoring and visualizing adaptation of autonomic systems at runtime
Pages 1857 - 1860
Abstract
Monitoring an autonomic system at runtime, which typically contains a large number of nodes operating in highly dynamic and open-ended environments, is very challenging for software architects. Solid software engineering methods and tools to support this process are therefore highly required. This paper proposes a novel monitoring and visualization framework for autonomic systems at runtime. Our approach is illustrated by an Eclipse plug-in for tracing the runtime awareness and adaptation capabilities using graph-like representation. A key benefit here is to provide feedback to the engineer about the behavior of the complex awareness mechanism used, thus helping the system evaluation process. We validate and assess our approach with a concrete application scenario from swarm robotics domain.
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Index Terms
- Monitoring and visualizing adaptation of autonomic systems at runtime
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April 2015
2418 pages
ISBN:9781450331968
DOI:10.1145/2695664
- Conference Chairs:
- Roger L. Wainwright,
- Juan Manuel Corchado,
- Program Chairs:
- Alessio Bechini,
- Jiman Hong
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Published: 13 April 2015
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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%
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View all- Bencomo NGötz SSong H(2019)[email protected]Software and Systems Modeling (SoSyM)10.1007/s10270-018-00712-x18:5(3049-3082)Online publication date: 1-Oct-2019
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