Dynamic IoT deployment reconfiguration: A global-level self-organisation approach

IF 6 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Nicolas Farabegoli, Danilo Pianini, Roberto Casadei, Mirko Viroli
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引用次数: 0

Abstract

The edge–cloud continuum provides a heterogeneous, multi-scale, and dynamic infrastructure supporting complex deployment profiles and trade-offs for application scenarios like those found in the Internet of Things and large-scale cyber–physical systems domains. To exploit the continuum, applications should be designed in a way that promotes flexibility and reconfigurability, and proper management (sub-)systems should take care of reconfiguring them in response to changes in the environment or non-functional requirements. Approaches may leverage optimisation-based or heuristic-based policies, and decision making may be centralised or distributed: this work investigates decentralised heuristic-based approaches. In particular, we focus on the pulverisation approach, whereby a distributed software system is automatically partitioned (“pulverised”) into different deployment units. In this context, we address two main research problems: how to support the runtime reconfiguration of pulverised systems, and how to specify decentralised reconfiguring policies by a global perspective. To address the first problem, we design and implement a middleware for pulverised systems separating infrastructural and application concerns. To address the second problem, we leverage aggregate computing and exploit self-organisation patterns to devise self-stabilising reconfiguration strategies. By simulating deployments on different kinds of complex infrastructures, we assess the flexibility of the pulverisation middleware design as well as the effectiveness and resilience of the aggregate computing-based reconfiguration policies.
动态物联网部署重组:全球级自组织方法
边缘-云连续体提供了一个异构、多尺度和动态的基础设施,支持复杂的部署配置和权衡,适用于物联网和大规模网络物理系统等应用场景。要利用这一连续体,在设计应用程序时应提高其灵活性和可重构性,而适当的管理(子)系统则应根据环境或非功能性要求的变化对其进行重构。这种方法可以利用基于优化或启发式的政策,决策制定可以是集中式的,也可以是分布式的:这项工作研究的是基于启发式的分散方法。特别是,我们将重点放在 "粉碎 "方法上,即自动将分布式软件系统分割("粉碎")成不同的部署单元。在这种情况下,我们主要解决两个研究问题:如何支持粉碎系统的运行时重新配置,以及如何从全局角度指定分散式重新配置策略。为解决第一个问题,我们设计并实施了一种用于粉碎系统的中间件,将基础设施和应用问题分开。为解决第二个问题,我们利用聚合计算和自组织模式来设计自稳定的重新配置策略。通过模拟不同类型复杂基础设施的部署,我们评估了粉碎中间件设计的灵活性以及基于聚合计算的重新配置策略的有效性和弹性。
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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来源期刊
Internet of Things
Internet of Things Multiple-
CiteScore
3.60
自引率
5.10%
发文量
115
审稿时长
37 days
期刊介绍: Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.
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