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Towards Software-defined Fog Computing via Named Data Networking

机译:通过命名数据网络实现软件定义的雾计算

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According to the fog computing paradigm, a plethora of Internet of Things (IoT) applications will benefit from the distributed execution of services and applications, processing and storage in proximity to data sources. However, new networking primitives and service orchestration mechanisms need to be designed to cope with the dynamic, distributed, and heterogeneous nature of the fog resources. A solution to such a challenging deployment would be the coupling of two revolutionary future Internet paradigms, Software-Defined Networking (SDN) and Named Data Networking (NDN). Indeed, on the one side, SDN can support wise orchestration decisions by leveraging a centralized intelligence and a global view of resources. On the other side, NDN well matches the service-centric nature of fog computing by letting (named) services be discovered regardless of the identity of the specific executor. In the paper, we dissect the strengths of this integrated solution, with a special focus devoted to evaluate the benefits of the NDN stateful data plane coupled with the centralized SDN control plane, when compared to a traditional IP-based host-centric software-defined approach.
机译:根据雾计算范例,普遍的东西互联网(物联网)应用程序将受益于靠近数据源的服务和应用程序,处理和存储的分布式执行。但是,新的网络基元和服务编排机制需要旨在应对雾资源的动态,分布式和异质性质。对这种具有挑战性的部署的解决方案是两个革命性未来互联网范例,软件定义的网络(SDN)和命名数据网络(NDN)的耦合。实际上,在一方面,SDN可以通过利用集中智能和全球资源观点来支持明智的编排决策。在另一边,NDN阱匹配通过发现(命名)服务,无论特定执行者的身份如何,都发现了雾计算的以服务为中心。在论文中,我们解剖了这种集成解决方案的优势,专注于评估与集中式SDN控制平面耦合的NDN状态数据平面的优势,与传统的基于IP的主机中心定义相比方法。

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