The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Self-Managed Systems: an Architectural Challenge
Abstract
Self-management is put forward as one of the means by which we could provide systems that are scalable, support dynamic composition and rigorous analysis, and are flexible and robust in the presence of change. In this paper, we focus on architectural approaches to self-management, not because the language-level or network-level approaches are uninteresting or less promising, but because we believe that the architectural level seems to provide the required level of abstraction and generality to deal with the challenges posed. A self-managed software architecture is one in which components automatically configure their interaction in a way that is compatible with an overall architectural specification and achieves the goals of the system. The objective is to minimise the degree of explicit management necessary for construction and subsequent evolution whilst preserving the architectural properties implied by its specification. This paper discusses some of the current promising work and presents an outline three-layer reference model as a context in which to articulate some of the main outstanding research challenges.
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Cites
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
The Future of Software Performance Engineering
Woodside, M., Franks, G., & Petriu, D. C. (2007) · Future of Software Engineering (FOSE '07) · doi:10.1109/fose.2007.32 · Cited by 346
Controlling software architecture erosion: A survey
de Silva, L., & Balasubramaniam, D. (2012) · Journal of Systems and Software · doi:10.1016/j.jss.2011.07.036 · Cited by 184
Control Theory for Model-based Performance-driven Software Adaptation
Arcelli, D., Cortellessa, V., Filieri, A., & Leva, A. (2015) · Proceedings of the 11th International ACM SIGSOFT Conference on Quality of Software Architectures · doi:10.1145/2737182.2737187 · Cited by 23
(2010) · reroDoc Digital Library · Cited by 2
Metadata
- Authors
- Kramer, J., & Magee, J.
- Venue
- Future of Software Engineering (FOSE '07)
- Publisher
- IEEE
- Published
- 2007-05
- Pages
- 259-268
- OpenAlex
- W2163784380
- Cited by
- 829
- References
- 1
- FWCI
- 42.50
- Type
- conference paper
- Language
- en
- Open access
- closed
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