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@Article{2012:Cheng:Stitch,
AUTHOR = {Cheng, Shang-Wen and Garlan, David},
TITLE = {Stitch: A Language for Architecture-Based Self-Adaptation},
YEAR = {2012},
MONTH = {December},
JOURNAL = {Journal of Systems and Software, Special Issue on State of the Art in Self-Adaptive Systems},
VOLUME = {85},
NUMBER = {12},
EDITOR = {Weyns, Danny and Andersson, Jesper and Malek, Sam and Schmerl, Bradley},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/JSS-S-11-00544.pdf},
ABSTRACT = {Requirements for high availability in computing systems today demand that
systems be self-adaptive to maintain expected qualities-of-service in the presence
of system faults, variable environmental conditions, and changing user
requirements. Autonomic computing tackles the challenge of automating
tasks that humans would otherwise have to perform to achieve this goal.
However, existing approaches to autonomic computing lack the ability to
capture routine human repair tasks in a way that takes into account the
business context that humans use in selecting an appropriate form of adaptation,
while dealing with timing delays and uncertainties in outcome of
repair actions. In this article, we present Stitch, a language for representing
repair strategies within the context of an architecture-based self-adaptation
framework. Stitch supports the explicit representation of repair decision
trees together with the ability to express business objectives, allowing a
self-adaptive system to select a strategy that has optimal utility in a given
context, even},
NOTE = {http://dx.doi.org/10.1016/j.jss.2012.02.060
},
KEYWORDS = {Landmark, Rainbow, Self-adaptation, Self-Repair, Stitch}
}
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