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

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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 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.

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  • The Role of models@run.time in Autonomic Systems

    Rights statement: © 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, PDF-document

Details

Publication date18 Aug 2017
Publication titleProceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017
PublisherIEEE
Pages293-294
Number of pages2
ISBN (Electronic)9781538617618
Original languageEnglish
Event14th IEEE International Conference on Autonomic Computing, ICAC 2017 - Columbus, United States

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

Bibliographic 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.

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