Architecting decentralized control in large-scale self-adaptive systems-Reference-Cited by-同舟云学术

Architecting decentralized control in large-scale self-adaptive systems

Published:2023-03-09 Issue:9 Volume:105 Page:1849-1882
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Andersson Jesper,Caporuscio Mauro^ORCID,D’Angelo Mirko,Napolitano Annalisa

Abstract

AbstractArchitecting a self-adaptive system with decentralized control is challenging. Indeed, architects shall consider several different and interdependent design dimensions and devise multiple control loops to coordinate and timely perform the correct adaptations. To support this task, we propose Decor, a reasoning framework for architecting and evaluating decentralized control. Decor provides (i) multi-paradigm modeling support, (ii) a modeling environment for MAPE-K style decentralized control, and (iii) a co-simulation environment for simulating the decentralized control together with the managed system and estimating the quality attributes of interest. We apply the Decor in three case studies: an intelligent transportation system, a smart power grid, and a cloud computing application. The studies demonstrate the framework’s capabilities to support informed architectural decisions on decentralized control and adaptation strategies.

Funder

Linnaeus University

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00607-023-01167-9.pdf

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