Rainbow: architecture-based self-adaptation with reusable infrastructure
By David Garlan, Shang-Wen Cheng, An-Cheng Huang, Bradley R. Schmerl, Peter Steenkiste. International Conference on Autonomic Computing, 2004. Proceedings., 2004
1,412 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/36b9cb1f7b71a71e04ad4742dc9a5929250174b9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- J. Magee
- J. Kramer
- Ladan Tahvildari
- Mazeiar Salehie
- H. Rao
- Shambhu J. Upadhyaya
- Raj Sharman
- Debanjan Ghosh
In Computer Networks and Communications
- J. Magee
- J. Kramer
- Ladan Tahvildari
- Mazeiar Salehie
- H. Rao
- Shambhu J. Upadhyaya
- Raj Sharman
- Debanjan Ghosh
In Information Systems
- J. Magee
- J. Kramer
- Ladan Tahvildari
- Mazeiar Salehie
- H. Rao
- Shambhu J. Upadhyaya
- Raj Sharman
- Debanjan Ghosh
Citations in the corpus
- On Patterns for Decentralized Control in Self-Adaptive Systems (2010, methodology): “For example, in the Rainbow framework [17], monitoring and execution are delegated to the different nodes of the controlled system, whereas analyzing and planning are centralized.”
- Self-healing systems - survey and synthesis (2007, methodology): “This model is also provided in Rainbow [ 5 ].”
- Software Engineering for Self-Adaptive Systems: A Second Research Roadmap (2010, background): “A prominent example of such adaptation control is realized in the Rainbow framework [19].”
- Self-adaptive software: Landscape and research challenges (2009, background): “Rainbow [Garlan et al. 2004; Garlan and Schmerl 2002] Proposing an architecture-based adaptation framework consisting of an adaptation infrastructure and a system-specific adaptation knowledge”