Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning

Danny Weyns, Bradley Schmerl, Masako Kishida, Alberto Leva, Marin Litoiu, Necmiye Ozay, Colin Paterson, Kenji Tei

研究成果: Conference contribution

抄録

Two established approaches to engineer adaptive systems are architecture-based adaptation that uses a Monitor-Analysis-Planning-Executing (MAPE) loop that reasons over architectural models (aka Knowledge) to make adaptation decisions, and control-based adaptation that relies on principles of control theory (CT) to realize adaptation. Recently, we also observe a rapidly growing interest in applying machine learning (ML) to support different adaptation mechanisms. While MAPE and CT have particular characteristics and strengths to be applied independently, in this paper, we are concerned with the question of how these approaches are related with one another and whether combining them and supporting them with ML can produce better adaptive systems. We motivate the combined use of different adaptation approaches using a scenario of a cloud-based enterprise system and illustrate the analysis when combining the different approaches. To conclude, we offer a set of open questions for further research in this interesting area.

本文言語English
ホスト出版物のタイトルProceedings - 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2021
出版社Institute of Electrical and Electronics Engineers Inc.
ページ217-223
ページ数7
ISBN(電子版)9781665402897
DOI
出版ステータスPublished - 2021 5月
イベント2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2021 - Virtual, Online
継続期間: 2021 5月 182021 5月 24

出版物シリーズ

名前Proceedings - 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2021

Conference

Conference2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2021
CityVirtual, Online
Period21/5/1821/5/24

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 人工知能
  • 制御と最適化
  • ソフトウェア
  • 情報システムおよび情報管理
  • 産業および生産工学

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