Self-improving system integration: Mastering continuous change

Kirstie Bellman; Jean Botev; Ada Diaconescu; Lukas Esterle; Christian Gruhl; Christopher Landauer; Peter R. Lewis; Phyllis R. Nelson; Evangelos Pournaras; Anthony Stein; Sven Tomforde

doi:10.1016/j.future.2020.11.019

Self-improving system integration: Mastering continuous change

Kirstie Bellman, Jean Botev, Ada Diaconescu, Lukas Esterle, Christian Gruhl, Christopher Landauer, Peter R. Lewis, Phyllis R. Nelson, Evangelos Pournaras, Anthony Stein, Sven Tomforde^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	29-46
Number of pages	18
Journal	Future Generation Computer Systems
Volume	117
Early online date	24 Nov 2020
DOIs	https://doi.org/10.1016/j.future.2020.11.019
Publication status	Published - 1 Apr 2021

Bibliographical note

© 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.

Keywords

Autonomous systems
Organic computing
Self-improvement
Self-integration
System engineering
Taxonomy

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10.1016/j.future.2020.11.019

Self-improving System Integration: Mastering Continuous Change
© 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Accepted author manuscript, 271 KBLicence: CC BY-NC-ND 3.0

Cite this

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title = "Self-improving system integration: Mastering continuous change",

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.",

keywords = "Autonomous systems, Organic computing, Self-improvement, Self-integration, System engineering, Taxonomy",

author = "Kirstie Bellman and Jean Botev and Ada Diaconescu and Lukas Esterle and Christian Gruhl and Christopher Landauer and Lewis, {Peter R.} and Nelson, {Phyllis R.} and Evangelos Pournaras and Anthony Stein and Sven Tomforde",

note = "{\textcopyright} 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 Sk{\l}odowska 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: {\textcopyright} 2020 Elsevier B.V. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

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doi = "10.1016/j.future.2020.11.019",

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AU - Botev, Jean

AU - Diaconescu, Ada

AU - Esterle, Lukas

AU - Gruhl, Christian

AU - Landauer, Christopher

AU - Lewis, Peter R.

AU - Nelson, Phyllis R.

AU - Pournaras, Evangelos

AU - Stein, Anthony

AU - Tomforde, Sven

N1 - © 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.

PY - 2021/4/1

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N2 - 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.

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ER -

Self-improving system integration: Mastering continuous change

Abstract

Bibliographical note

Keywords

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