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Self-organising Coordination Regions: A Pattern for Edge Computing

机译:自组织协调区域:边缘计算的模式

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Design patterns are key in software engineering, for they capture the knowledge of recurrent problems and associated solutions in specific design contexts. Emerging distributed computing scenarios, such as the Internet of Things, Cyber-Physical Systems, and Edge Computing, define a novel and still largely unexplored application context, where identifying recurrent patterns can be extremely valuable to mainstream development of language mechanisms, algorithms, architectures and supporting platforms—keeping a balanced trade-off between generality, applicability, and guidance. In this work, we present a design pattern, named Self-organising Coordination Regions (SCR), which aims to support scalable monitoring and control in distributed systems. Specifically, it is a decentralised coordination pattern for partitioned orchestration of devices (typically on a spatial basis), which provides adaptivity, resilience, and distributed decision-making in large-scale situated systems. It works through a self-organising construction of regions of space, where internal coordination activities are regulated via feedback/control flows among leaders and worker nodes. We present the pattern, provide a template implementation in the Aggregate Computing framework, and evaluate it through simulation of a case study in Edge Computing.
机译:设计模式是软件工程中的关键,因为它们可以捕获特定设计上下文中经常性问题和相关解决方案的知识。诸如物联网,网络物理系统和边缘计算之类的新兴分布式计算场景定义了一种新颖的且仍未开发的应用程序上下文,在该上下文中,识别循环模式对于语言机制,算法,体系结构和语言的主流开发非常有价值。支持平台-在通用性,适用性和指导之间保持平衡。在这项工作中,我们提出了一种称为自组织协调区域(SCR)的设计模式,该模式旨在支持分布式系统中的可伸缩监视和控制。具体地说,它是用于设备的分区编排(通常基于空间)的分散式协调模式,可在大规模定位的系统中提供适应性,弹性和分布式决策。它通过空间区域的自组织构建来工作,通过协调领导者和工作人员节点之间的反馈/控制流来控制内部协调活动。我们介绍了该模式,在Aggregate Computing框架中提供了模板实施,并通过对Edge Computing中的案例研究进行了仿真来对其进行评估。

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