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

Nelly Bencomo

doi:10.1109/ICAC.2017.55

The Role of [email protected] in Autonomic Systems: keynote

Nelly Bencomo^*

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

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 [email protected] 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 language	English
Title of host publication	Proceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017
Publisher	IEEE
Pages	293-294
Number of pages	2
ISBN (Electronic)	9781538617618
DOIs	https://doi.org/10.1109/ICAC.2017.55
Publication status	Published - 18 Aug 2017
Event	14th IEEE International Conference on Autonomic Computing, ICAC 2017 - Columbus, United States Duration: 17 Jul 2017 → 21 Jul 2017

Publication series

Name	2017 IEEE International Conference on Autonomic Computing (ICAC)
Publisher	IEEE
ISSN (Print)	2474-0756

Conference

Conference	14th IEEE International Conference on Autonomic Computing, ICAC 2017
Country/Territory	United States
City	Columbus
Period	17/07/17 → 21/07/17

Bibliographical note

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Access to Document

10.1109/ICAC.2017.55

The Role of [email protected] in Autonomic Systems
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript, 251 KB

Cite this

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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 [email protected] 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.",

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Bencomo, N 2017, The Role of [email protected] in Autonomic Systems: keynote. in Proceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017., 8005363, 2017 IEEE International Conference on Autonomic Computing (ICAC), IEEE, pp. 293-294, 14th IEEE International Conference on Autonomic Computing, ICAC 2017, Columbus, United States, 17/07/17. https://doi.org/10.1109/ICAC.2017.55

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