Integrating Internet of Things (IoT) and edge computing for "Edge-IoT" systems, converged with machine intelligence, has the potentials of enabling a wide range of applications in smart homes, factories and cities. Edge-IoT can connect many diverse devices and the IoT asset owners can run heterogeneous IoT systems supported by various vendors or service providers (SPs), using either cloud or local edge computing (or both) for resource assistance. The existing methods typically manage the systems as separate vertical "silos", or in a vendor/SP-centric way, which suffers from significant challenges. In this paper, we present a novel owner-centric management paradigm named "ORCA" to address the gaps left by the owner-centric paradigm and empower the IoT assets owners to effectively identify and mitigate potential issues in their own network premises, regardless the vendors/SPs' situations. ORCA aims to be scalable and extensible in assisting IoT owners to perform intelligent management through a behavior-oriented and data-driven approach. ORCA is an ongoing project and the preliminary results indicate that it can significantly empower the IoT systems owners to better manage their IoT assets.
翻译:集成“Edge-IoT”系统(IoT)和边际计算“Edge-IoT”系统结合了机器智能,具有在智能家庭、工厂和城市广泛应用的潜力。Edge-IoT可以连接许多不同的设备,IoT资产所有者可以运行由各种销售商或服务提供者(SPs)支持的多样化的IoT系统,使用云或本地边端计算(或两者兼用)资源援助。现有方法通常将系统管理为独立的垂直“silos”系统,或以受到重大挑战的供应商/SP中心方式管理。在本文中,我们提出了一个名为“ORCA”的新颖的以业主为中心的管理模式,以弥补以所有者为中心的模式留下的空白,并授权IoT资产所有者有效识别和缓解其网络房地中的潜在问题,而不论供应商/SPs的情况如何。ORCA旨在通过面向行为和数据驱动的方法协助IoT所有人进行智能管理,可扩展和扩展。ORCA是一个持续进行中的项目,初步结果表明它能够大大增强IoT资产所有者管理其IoT系统的能力。