Bellman, Kirstie, Botev, Jean, Diaconescu, Ada, Esterle, Lukas, Gruhl, Christian, Landauer, Christopher, Lewis, Peter R., Nelson, Phyllis R., Pournaras, Evangelos, Stein, Anthony and Tomforde, Sven (2021). Self-improving system integration:Mastering continuous change. Future Generation Computer Systems, 117 , pp. 29-46.
Abstract
The research initiative “self-improving system integration” (SISSY) was established with the goal to master the ever-changing demands of system organisation in the presence of autonomous subsystems, evolving architectures, and highly-dynamic open environments. It aims to move integration-related decisions from design-time to run-time, implying a further shift of expertise and responsibility from human engineers to autonomous systems. This introduces a qualitative shift from existing self-adaptive and self-organising systems, moving from self-adaptation based on predefined variation types, towards more open contexts involving novel autonomous subsystems, collaborative behaviours, and emerging goals. In this article, we revisit existing SISSY research efforts and establish a corresponding terminology focusing on how SISSY relates to the broad field of integration sciences. We then investigate SISSY-related research efforts and derive a taxonomy of SISSY technology. This is concluded by establishing a research road-map for developing operational self-improving self-integrating systems.
Publication DOI: | https://doi.org/10.1016/j.future.2020.11.019 |
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Divisions: | College of Engineering & Physical Sciences > Aston Institute of Urban Technology and the Environment (ASTUTE) College of Engineering & Physical Sciences College of Engineering & Physical Sciences > Systems analytics research institute (SARI) ?? 50811700Jl ?? |
Funding Information: | Lukas Esterle s an Assistant Professor in Electrical and Computer Engineering at Aarhus University, Denmark. Lukas holds a Masters degree in Computer Science and a Dr.-techn. in Electrical Engineering from Alpen-Adria University Klagenfurt. He was a postd |
Additional Information: | © 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Funding Information: Lukas Esterle s an Assistant Professor in Electrical and Computer Engineering at Aarhus University, Denmark. Lukas holds a Masters degree in Computer Science and a Dr.-techn. in Electrical Engineering from Alpen-Adria University Klagenfurt. He was a postdoctoral researcher at the University of Technology in Vienna and a Marie Skłodowska Curie Fellow at Aston University, Birmingham, UK funded by the European Commission. His research interests are collaborative, autonomous, and self-aware systems, Computational and Artificial Intelligence, multi-agent and cyberphysical systems, and nature-inspired approaches to solve complex problems. Lukas co-authored several books on Self-aware computing systems and made substantial contributions to several self-aware computing applications around visual sensor networks and multi-robot systems. Lukas is a member of the Aarhus University Centre for Digitalisation, Big Data and Data Analytics (DIGIT) Publisher Copyright: © 2020 Elsevier B.V. Copyright: Copyright 2020 Elsevier B.V., All rights reserved. |
Uncontrolled Keywords: | Autonomous systems,Organic computing,Self-improvement,Self-integration,System engineering,Taxonomy,Software,Hardware and Architecture,Computer Networks and Communications |
Publication ISSN: | 1872-7115 |
Last Modified: | 15 Nov 2024 08:15 |
Date Deposited: | 09 Dec 2020 12:44 |
Full Text Link: | |
Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) https://www.sci ... 0430?via%3Dihub (Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2021-04-01 |
Published Online Date: | 2020-11-24 |
Accepted Date: | 2020-11-19 |
Authors: |
Bellman, Kirstie
Botev, Jean Diaconescu, Ada Esterle, Lukas Gruhl, Christian Landauer, Christopher Lewis, Peter R. ( 0000-0003-4271-8611) Nelson, Phyllis R. Pournaras, Evangelos Stein, Anthony Tomforde, Sven |
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