Control Action Types -Patterns of Applied Control for Self-adaptive Systems

Christian Kröher, Lea Gerling, Klaus Schmid
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Abstract

A Self-adaptive System (SaS) modifies its domain functionality according to changes in its environment autonomously. Distributed control and central control represent two complementary paradigms to establish this capability. The selection of one of them leads to significant trade-offs regarding certain software qualities when designing a SaS. A promising approach to minimize these trade-offs is an integration, which combines the individual benefits to achieve the best of both paradigms. However, establishing such a multi-paradigm control requires comprehensive knowledge about control options and their interactions, which is hardly available.In this paper, we present patterns for integrating distributed and central control. We introduce them by a schema of Control Action Types (CATs). Each CAT describes a unique type of interaction between a central controller and a distributed controlled SaS to achieve a desired adaptation. Further, we identify involved tradeoffs between these CATs aiming at a systematic discussion of the range of multi-paradigm control for a SaS.
控制动作类型-自适应系统应用控制模式
自适应系统(Self-adaptive System, SaS)能够根据环境的变化自主地修改域功能。分布式控制和集中控制代表了建立这种能力的两个互补范例。在设计sa时,选择其中一个会导致对某些软件质量的重大权衡。将这些权衡最小化的一种有希望的方法是集成,它将个人利益结合起来,以实现两种范式的最佳效果。然而,建立这样的多范式控制需要关于控制选项及其相互作用的全面知识,而这些知识很难获得。在本文中,我们提出了集成分布式和集中控制的模式。我们通过控制动作类型(cat)的模式来介绍它们。每个CAT描述了中央控制器和分布式受控sa之间的一种独特的交互类型,以实现所需的自适应。此外,我们确定了这些cat之间涉及的权衡,旨在系统地讨论sa的多范式控制范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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