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Software-Defined Edge Computing (SDEC): Principles, Open System Architecture and Challenges

机译:软件定义的边缘计算(SDEC):原则,开放系统架构和挑战

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Edge computing is a bridge for realizing the convergence between physical space and cyber space. Large numbers of physical objects produce a huge amount of data that needs to be efficiently processed in the edge side. This situation urgently requires novel ideas and framework in the design and management of edge computing to improve and enhance its performance. In this paper, we propose an approach and principles of Software-Defined Edge Computing (SDEC) from the perspective of cyber-physical mapping, where the ultimate goal is to achieve a highly automatic and autonomous edge computing system. And SDEC can also help realize flexible management and intelligent collaboration among various edge hardware resources and services by way of software. To this end, we design a SDEC-based open edge computing system architecture which decouples upper-level applications from the underlying physical edge resources and builds dynamically reconfigurable smart edge services. This approach can share, reuse and recombine edge resources and services so that overall service capability of the edge side is improved. Finally, we outline several challenges which are worthy of in-depth study and research.
机译:边缘计算是一种实现物理空间和网络空间之间收敛的桥梁。大量物理对象产生大量数据,需要在边缘侧有效地处理。这种情况紧急需要在设计和管理方面的设计和管理中的新颖思想和框架来提高和提高其性能。在本文中,我们从网络物理映射的角度提出了一种软件定义的边缘计算(SDEC)的方法和原理,其中最终目标是实现高度自动和自主的边缘计算系统。 SDEC还可以通过软件实现各种边缘硬件资源和服务之间的灵活管理和智能协作。为此,我们设计了一种基于SDEC的开放式计算系统架构,该架构从底层物理边缘资源中解耦了上层应用程序,并构建动态可重新配置的智能边缘服务。这种方法可以共享,重新利用和重新结交边缘资源和服务,以便改善边缘的整体服务能力。最后,我们概述了几个值得深入研究和研究的挑战。

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