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

Nelly Bencomo*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017
PublisherIEEE
Pages293-294
Number of pages2
ISBN (Electronic)9781538617618
DOIs
Publication statusPublished - 18 Aug 2017
Event14th IEEE International Conference on Autonomic Computing, ICAC 2017 - Columbus, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

Name2017 IEEE International Conference on Autonomic Computing (ICAC)
PublisherIEEE
ISSN (Print)2474-0756

Conference

Conference14th IEEE International Conference on Autonomic Computing, ICAC 2017
CountryUnited States
CityColumbus
Period17/07/1721/07/17

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Cite this

Bencomo, N. (2017). The Role of models@run.time in Autonomic Systems: keynote. In Proceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017 (pp. 293-294). [8005363] (2017 IEEE International Conference on Autonomic Computing (ICAC)). IEEE. https://doi.org/10.1109/ICAC.2017.55