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

Nelly Bencomo

doi:10.1109/ICAC.2017.55

The Role of models@run.time 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 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 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 models@run.time 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

@inproceedings{1e1a1c03a2e04268a443e9bf03d947ea,

title = "The Role of models@run.time in Autonomic Systems: keynote",

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.",

author = "Nelly Bencomo",

note = "{\textcopyright} 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. ; 14th IEEE International Conference on Autonomic Computing, ICAC 2017 ; Conference date: 17-07-2017 Through 21-07-2017",

year = "2017",

month = aug,

day = "18",

doi = "10.1109/ICAC.2017.55",

language = "English",

series = "2017 IEEE International Conference on Autonomic Computing (ICAC)",

publisher = "IEEE",

pages = "293--294",

booktitle = "Proceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017",

address = "United States",

}

Bencomo, N 2017, The Role of models@run.time 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

TY - GEN

T1 - The Role of models@run.time in Autonomic Systems

T2 - 14th IEEE International Conference on Autonomic Computing, ICAC 2017

AU - Bencomo, Nelly

N1 - © 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.

PY - 2017/8/18

Y1 - 2017/8/18

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85034430510&partnerID=8YFLogxK

U2 - 10.1109/ICAC.2017.55

DO - 10.1109/ICAC.2017.55

M3 - Conference publication

AN - SCOPUS:85034430510

T3 - 2017 IEEE International Conference on Autonomic Computing (ICAC)

SP - 293

EP - 294

BT - Proceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017

PB - IEEE

Y2 - 17 July 2017 through 21 July 2017

ER -

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

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this