Architecting decentralized control in large-scale self-adaptive systems

被引：1

作者：

Andersson, Jesper ^{[1
]}

Caporuscio, Mauro ^{[1
]}

D'Angelo, Mirko ^{[2
]}

Napolitano, Annalisa ^{[3
]}

机构：

[1] Linnaeus Univ, Vaxjo, Sweden

[2] Ericsson Res, Gothenburg, Sweden

[3] IMT Sch Adv Studies, Lucca, Italy

来源：

COMPUTING | 2023年 / 105卷 / 09期

关键词：

Reasoning framework; Model-based system engineering; Multi-paradigm modeling; Co-simulation;

D O I：

10.1007/s00607-023-01167-9

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Architecting 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.

引用

页码：1849 / 1882

页数：34

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