Effectiveness of Pre-computed Knowledge in Self-adaptation - A Robustness Study

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Abstract

Within classical MAPE-K control-loop structures for adaptive systems, knowledge gathered from monitoring the system and its environment is used to guide adaptation decisions at runtime. There are several approaches to enrich this knowledge base to improve the planning of adaptations. We consider a method where probabilistic model checking (PMC) is used at design time to compute results for various short-term objectives, such as the expected energy consumption, expected throughput, or probability of success. The variety PMC-results yield the basis for defining decision policies (PMC-based strategies) that operate at runtime and serve as heuristics to optimize for a given long-term objective. The main goal is to apply a robust decision making method that can deal with different kinds of uncertainty at runtime. In this paper, we thoroughly examine, quantify, and evaluate the potential of this approach with the help of an experimental study on an adaptive hardware platform, where the global objective addresses the trade-off between energy consumption and performance. The focus of this study is on the robustness of PMC-based strategies and their ability to dynamically manage situations, where the system at runtime operates under conditions that deviate from the (idealized) assumptions made in the preceding offline analysis.

Details

OriginalspracheEnglisch
TitelComputer Performance Engineering - 18th European Workshop, EPEW 2022, Proceedings
Redakteure/-innenKatja Gilly, Nigel Thomas
ErscheinungsortCham
Herausgeber (Verlag)Springer International Publishing AG
Seiten19-34
Seitenumfang16
ISBN (elektronisch)978-3-031-25049-1
ISBN (Print)978-3-031-25048-4
PublikationsstatusVeröffentlicht - 13 Jan. 2023
Peer-Review-StatusJa

Publikationsreihe

ReiheLecture Notes in Computer Science, Volume 13659
ISSN0302-9743

Externe IDs

Scopus 85148022429
ORCID /0000-0002-5321-9343/work/154190606
ORCID /0000-0003-1724-2586/work/165453613

Schlagworte

Ziele für nachhaltige Entwicklung

Bibliotheksschlagworte