research-article

FUSION: a framework for engineering self-tuning self-adaptive software systems

Authors:

Ahmed Elkhodary,

Naeem Esfahani,

Sam MalekAuthors Info & Claims

FSE '10: Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering

Pages 7 - 16

https://doi.org/10.1145/1882291.1882296

Published: 07 November 2010 Publication History

Abstract

Self-adaptive software systems are capable of adjusting their behavior at run-time to achieve certain objectives. Such systems typically employ analytical models specified at design-time to assess their characteristics at run-time and make the appropriate adaptation decisions. However, prior to system's deployment, engineers often cannot foresee the changes in the environment, requirements, and system's operational profile. Therefore, any analytical model used in this setting relies on underlying assumptions that if not held at run-time make the analysis and hence the adaptation decisions inaccurate. We present and evaluate FeatUre-oriented Self-adaptatION (FUSION) framework, which aims to solve this problem by learning the impact of adaptation decisions on the system's goals. The framework (1) allows for automatic online fine-tuning of the adaptation logic to unanticipated conditions, (2) reduces the upfront effort required for building such systems, and (3) makes the run-time analysis of such systems very efficient.

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Cited By

Li NZhang MLi JAdepu SKang EJin Z(2024)A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive SystemsACM Transactions on Autonomous and Adaptive Systems10.1145/365294919:2(1-49)Online publication date: 20-Apr-2024
https://dl.acm.org/doi/10.1145/3652949
S AJoon RDevi SKhandan KHoward EM R(2024)Self-Adaptive Electronics using Artificial Neural Networks2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)10.1109/ICONSTEM60960.2024.10568609(1-6)Online publication date: 4-Apr-2024
https://doi.org/10.1109/ICONSTEM60960.2024.10568609
Groner RCaldas RWohlrab R(2024)Meta-Adaptation Goals: Leveraging Feedback Loop Requirements for Effective Self-Adaptation2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)10.1109/ACSOS-C63493.2024.00037(91-96)Online publication date: 16-Sep-2024
https://doi.org/10.1109/ACSOS-C63493.2024.00037
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Index Terms

FUSION: a framework for engineering self-tuning self-adaptive software systems
1. Software and its engineering
  1. Software creation and management
    1. Designing software

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cover image ACM Conferences

FSE '10: Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering

November 2010

302 pages

ISBN:9781605587912

DOI:10.1145/1882291

General Chair:
Gruia-Catalin Roman
Washington University in St. Louis, USA
,
Program Chair:
André van der Hoek
University of California, Irvine, USA

Copyright © 2010 ACM.

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New York, NY, United States

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Published: 07 November 2010

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SIGSOFT/FSE'10: 18th ACM SIGSOFT Symposium on the Foundations of Software Engineering

November 7 - 11, 2010

New Mexico, Santa Fe, USA

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Cited By

Li NZhang MLi JAdepu SKang EJin Z(2024)A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive SystemsACM Transactions on Autonomous and Adaptive Systems10.1145/365294919:2(1-49)Online publication date: 20-Apr-2024
https://dl.acm.org/doi/10.1145/3652949
S AJoon RDevi SKhandan KHoward EM R(2024)Self-Adaptive Electronics using Artificial Neural Networks2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)10.1109/ICONSTEM60960.2024.10568609(1-6)Online publication date: 4-Apr-2024
https://doi.org/10.1109/ICONSTEM60960.2024.10568609
Groner RCaldas RWohlrab R(2024)Meta-Adaptation Goals: Leveraging Feedback Loop Requirements for Effective Self-Adaptation2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)10.1109/ACSOS-C63493.2024.00037(91-96)Online publication date: 16-Sep-2024
https://doi.org/10.1109/ACSOS-C63493.2024.00037
Morisaki SWakimoto MKasai N(2024)Assessing Critical Adaptations in Automated Adaptive Software Systems by Stage DecompositionIEEE Access10.1109/ACCESS.2024.336027512(17859-17875)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3360275
Xu MLiu RTahvildari LStoodley MOnut IShirani POnut IOnut IBranco P(2023)An Educational Course on Self-Adaptive Systems using IBM TechnologiesProceedings of the 33rd Annual International Conference on Computer Science and Software Engineering10.5555/3615924.3615939(143-148)Online publication date: 11-Sep-2023
https://dl.acm.org/doi/10.5555/3615924.3615939
Li JNejati SSabetzadeh M(2023)Using Genetic Programming to Build Self-Adaptivity into Software-Defined NetworksACM Transactions on Autonomous and Adaptive Systems10.1145/3616496Online publication date: 17-Aug-2023
https://dl.acm.org/doi/10.1145/3616496
Weyns DGerostathopoulos IAbbas NAndersson JBiffl SBrada PBures TDi Salle AGalster MLago PLewis GLitoiu MMusil AMusil JPatros PPelliccione P(2023)Self-Adaptation in Industry: A SurveyACM Transactions on Autonomous and Adaptive Systems10.1145/358922718:2(1-44)Online publication date: 28-May-2023
https://dl.acm.org/doi/10.1145/3589227
Petrovska AHutzelmann TKugele SHong JLanperne MPark JCerny TShahriar H(2023)A Theoretical Framework for Self-Adaptive Systems: Specifications, Formalisation, and Architectural ImplicationsProceedings of the 38th ACM/SIGAPP Symposium on Applied Computing10.1145/3555776.3577665(1440-1449)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3555776.3577665
Purandare SSinha UIslam MCleland-Huang JCohen M(2023)Self-Adaptive Mechanisms for Misconfigurations in Small Uncrewed Aerial Systems2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)10.1109/SEAMS59076.2023.00030(169-180)Online publication date: May-2023
https://doi.org/10.1109/SEAMS59076.2023.00030
Edrisi FPerez-Palacin DCaporuscio MGiussani S(2023)Adaptive Controllers and Digital Twin for Self-Adaptive Robotic Manipulators2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)10.1109/SEAMS59076.2023.00017(56-67)Online publication date: May-2023
https://doi.org/10.1109/SEAMS59076.2023.00017
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