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Self-improving system integration: Mastering continuous change

delete2021-04-01
delete25
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OA
AI
K
Kirstie L. Bellman
J
Jean Botev
A
Ada Diaconescu
L
Lukas Esterle
C
Christian Gruhl
C
Christopher Landauer
P
Peter R. Lewis
P
Phyllis R. Nelson
E
Evangelos Pournaras
A
Anthony Stein
S
Sven Tomforde *
DOI:10.1016/j.future.2020.11.019delete
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Abstract

Abstract

En 中文
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. (C) 2020 Elsevier B.V. All rights reserved.
Keywords:
Self-integration
Self-improvement
Autonomous systems
Taxonomy
Organic computing
System engineering
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Future Generation Computer Systems-The International Journal of eScience
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