Towards bridging the gap between control and self-adaptive system properties

Javier Cámara, Alessandro V. Papadopoulos, Thomas Vogel, Danny Weyns, David Garlan, Shihong Huang, Kenji Tei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Two of the main paradigms used to build adaptive software employ different types of properties to capture relevant aspects of the system's run-time behavior. On the one hand, control systems consider properties that concern static aspects like stability, as well as dynamic properties that capture the transient evolution of variables such as settling time. On the other hand, self-adaptive systems consider mostly non-functional properties that capture concerns such as performance, reliability, and cost. In general, it is not easy to reconcile these two types of properties or identify under which conditions they constitute a good fit to provide run-time guarantees. There is a need of identifying the key properties in the areas of control and self-adaptation, as well as of characterizing and mapping them to better understand how they relate and possibly complement each other. In this paper, we take a first step to tackle this problem by: (1) identifying a set of key properties in control theory, (2) illustrating the formalization of some of these properties employing temporal logic languages commonly used to engineer self-adaptive software systems, and (3) illustrating how to map key properties that characterize self-adaptive software systems into control properties, leveraging their formalization in temporal logics. We illustrate the different steps of the mapping on an exemplar case in the cloud computing domain and conclude with identifying open challenges in the area.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2020
PublisherAssociation for Computing Machinery, Inc
Pages78-84
Number of pages7
ISBN (Electronic)9781450379625
DOIs
Publication statusPublished - 2020 Jun 29
Event15th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2020 - Virtual, Online, Korea, Republic of
Duration: 2020 Jun 292020 Jul 3

Publication series

NameProceedings - 2020 IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2020

Conference

Conference15th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2020
Country/TerritoryKorea, Republic of
CityVirtual, Online
Period20/6/2920/7/3

Keywords

  • control theory
  • nonfunctional requirements
  • self-adaptation

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Electrical and Electronic Engineering

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