The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Rainbow: architecture-based self-adaptation with reusable infrastructure
Abstract
Software-based systems today are increasingly expected to dynamically self-adapt to accommodate resource variability, changing user needs, and system faults. Recent work uses closed-loop control based on external models to monitor and adapt system behavior at run time. Taking this externalized approach, the Rainbow framework we have developed uses software architectural models to dynamically monitor and adapt a running system. A key goal and primary challenge of this framework is to support the reuse of adaptation strategies and infrastructure across different systems. We show that the separation of a generic adaptation infrastructure from system-specific adaptation knowledge makes this reuse possible.
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An architecture-based approach to self-adaptive software
Oreizy, P., Gorlick, M. M., Taylor, R. N., Heimhigner, D., Johnson, G., Medvidovic, N., Quilici, A., Rosenblum, D. S., & Wolf, A. L. (1999) · IEEE Intelligent Systems · doi:10.1109/5254.769885 · Cited by 988
Cited by
Self-adaptive software: Landscape and research challenges
Salehie, M., & Tahvildari, L. (2009) · ACM Transactions on Autonomous and Adaptive Systems · doi:10.1145/1516533.1516538 · Cited by 1,266
Self-healing systems — survey and synthesis
Ghosh, D., Sharman, R., Raghav Rao, H., & Upadhyaya, S. (2007) · Decision Support Systems · doi:10.1016/j.dss.2006.06.011 · Cited by 305
Metadata
- Authors
- Cheng, S.-W., Huang, A.-C., Garlan, D., Schmerl, B., & Steenkiste, P.
- Venue
- International Conference on Autonomic Computing, 2004. Proceedings.
- Publisher
- IEEE
- Published
- 2004-06-10
- Pages
- 276-277
- OpenAlex
- W1819146036
- Cited by
- 903
- References
- 1
- FWCI
- 21.03
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Cheng, S.-W., Huang, A.-C., Garlan, D., Schmerl, B., & Steenkiste, P. (2004). Rainbow: architecture-based self-adaptation with reusable infrastructure. International Conference on Autonomic Computing, 2004. Proceedings. https://doi.org/10.1109/icac.2004.1301377
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