skip to main content
10.1145/2968456.2973273acmotherconferencesArticle/Chapter ViewAbstractPublication PagesesweekConference Proceedingsconference-collections
research-article

Types of computational self-awareness and how we might implement them

Published: 01 October 2016 Publication History

Abstract

Computing systems increasingly comprise large numbers of heterogeneous sub-systems, each with their own local perspective and goals, connected in dynamic networks, and interacting with each other and humans in ways which are difficult to predict. Nevertheless, users engaging with different parts of the system still expect high performance, reliability, security and other qualities, provided in a way that is robust or adaptive in the presence of unforeseen changes (including to users, the network, physical environment or the system itself). Examples of systems which are facing this challenge are wide-ranging and include robot swarms, personal devices, web services and sensor networks. In all these cases, advanced levels of autonomous behaviour can enable the system to adapt itself at run time, by learning behaviours in real time, appropriate to changing conditions.

References

[1]
E. Amir, M. L. Anderson, and V. K. Chaudhri. Report on DARPA workshop on self-aware computer systems. Tech. Rep. UIUCDCS-R-2007-2810, UIUC CS, 2007.
[2]
L. Esterle, P. R. Lewis, X. Yao, and B. Rinner. Socio-economic vision graph generation and handover in distributed smart camera networks. ACM Trans. on Sensor Networks, 10(2):20:1--20:24, 2014.
[3]
P. Horn. Autonomic computing: IBM's perspective on the state of information technology. IBM Corp., 2001.
[4]
P. R. Lewis, A. Chandra, F. Faniyi, K. Glette, T. Chen, R. Bahsoon, J. Torresen, and X. Yao. Architectural aspects of self-aware and self-expressive computing systems: From psychology to engineering. Computer, 48(8):62--70, 2015.
[5]
P. R. Lewis, A. Chandra, S. Parsons, E. Robinson, K. Glette, R. Bahsoon, J. Torresen, and X. Yao. A Survey of Self-Awareness and Its Application in Computing Systems. In Proc. Int. Conf. on Self-Adaptive and Self-Organizing Systems Workshops (SASOW), pages 102--107. IEEE, 2011.
[6]
P. R. Lewis, L. Esterle, A. Chandra, B. Rinner, J. Torresen, and X. Yao. Static, Dynamic, and Adaptive Heterogeneity in Distributed Smart Camera Networks. ACM Trans. on Autonomous and Adaptive Systems, 10(2):8:1--8:30, 2015.
[7]
P. R. Lewis, M. Platzner, B. Rinner, J. Torresen, and X. Yao, editors. Self-aware Computing Systems: An Engineering Approach. Springer, 2016.
[8]
U. Neisser. The Roots of Self-Knowledge: Perceiving Self, It, and Thou. Annals of the NY AoS., 818:19--33, 1997.
[9]
J. Schaumeier, J. Jeremy Pitt, and G. Cabri. A tripartite analytic framework for characterising awareness and self-awareness in autonomic systems research. In Proc. Int. Conf. on Self-Adaptive and Self-Organizing Systems Workshops (SASOW), pages 157--162. IEEE, 2012.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
CODES '16: Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis
October 2016
294 pages
ISBN:9781450344838
DOI:10.1145/2968456
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2016

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Research-article

Conference

ESWEEK'16
ESWEEK'16: TWELFTH EMBEDDED SYSTEM WEEK
October 1 - 7, 2016
Pennsylvania, Pittsburgh

Acceptance Rates

Overall Acceptance Rate 280 of 864 submissions, 32%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)3
  • Downloads (Last 6 weeks)0
Reflects downloads up to 17 Jan 2025

Other Metrics

Citations

Cited By

View all

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media