Knowledge Base K Models to Support Trade-Offs for Self-Adaptation using Markov Processes


Runtime models support decision-making and reasoning for self-adaptation based on both design-time knowledge and information that may emerge at runtime. In this paper, we demonstrate a novel use of Partially Observable Markov Decision Processes (POMDPs) as runtime models to support the decision-making of a Self Adaptive System (SAS) in the context of the MAPE-K loop. The trade-off between the non-functional requirements (NFRs) has been embodied as a POMDP in the context of the MAPE-K loop. Using Bayesian learning, the levels of satisficement of the NFRs are inferred and updated during execution in the form of runtime models in the Knowledge Base. We evaluate our work with a case study of the networking application domain.

Publication DOI:
Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
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Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Event Title: 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)
Event Type: Other
Event Location: Umea, Sweden
Event Dates: 2019-06-16 - 2019-06-20
Uncontrolled Keywords: Markov Processes,Runtime models,decision making,non-functional requirements,self-adaptation,uncertainty,Computer Networks and Communications,Information Systems,Control and Systems Engineering
ISBN: 978-1-7281-2732-3, 978-1-7281-2731-6
Last Modified: 27 Jun 2024 12:30
Date Deposited: 09 Aug 2019 08:33
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Related URLs: https://ieeexpl ... cument/8780528/ (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2019-06-01
Accepted Date: 2019-06-01
Authors: Garcia Paucar, Luis Hernan (ORCID Profile 0000-0003-2915-0830)
Bencomo, Nelly (ORCID Profile 0000-0001-6895-1636)



Version: Accepted Version

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