The Role of models@run.time in Autonomic Systems:keynote


Autonomic systems manage their own behaviour in accordance with high-level goals. This paper presents a brief outline of challenges related to Autonomic Computing due to uncertainty in the operational environments, and the role that models@run.time play in meeting them. We argue that the existing progress in Autonomic Computing can be further exploited with the support of runtime models. We briefly discuss our ideas related to the need to understand the extent to which the high-level goals of the autonomic system are being satisfied to support decision-making based on runtime evidence and, the need to support self-explanation.

Publication DOI:
Divisions: ?? 50811700Jl ??
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
College of Engineering & Physical Sciences
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Event Title: 14th IEEE International Conference on Autonomic Computing, ICAC 2017
Event Type: Other
Event Dates: 2017-07-17 - 2017-07-21
Uncontrolled Keywords: Hardware and Architecture,Computer Networks and Communications,Artificial Intelligence
ISBN: 9781538617618
Last Modified: 15 Jul 2024 08:40
Date Deposited: 08 Dec 2017 14:45
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2017-08-18
Published Online Date: 2017-08-18
Accepted Date: 2017-08-18
Authors: Bencomo, Nelly (ORCID Profile 0000-0001-6895-1636)



Version: Accepted Version

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