Recent advances in virtualization technologies (e.g., uniker-nels, containers, and virtual machines), the move to data driven approaches and softwarized networking technologies (e.g., SDN, NFV, and data plane programming) have invigorated a new focus on combining computation and communication in distributed systems. At the same time, the proliferation of edge computing, a complementary and at times alternative solution to centralized cloud computing, has resulted in an edge-cloud continuum of applications and services. Edge computing offers more proximate resources closer to where the service is needed and supports emerging applications (e.g., self-driving vehicles, autonomous systems, and VR/AR) with stringent requirements of fast response, low delay, high bandwidth, trust-sensitivity, and/or continued operation, despite intermittent or incomplete connectivity. These trends have converged into the concept of Computing in the Network (COIN), the integration of in-network computation and network processing in a common framework. COIN naturally fits within the edge-cloud continuum, where expanded resource distribution and tightly integrated computing-networking capabilities are provisioned from the edge to the cloud infrastructure including at points in between.

中文翻译：

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客座社论：网络内计算：边缘云连续体的新兴趋势


虚拟化技术（例如，uniker-nels、容器和虚拟机）的最新进展、向数据驱动方法和软件化网络技术（例如，SDN、NFV 和数据平面编程）的转变，激发了人们对将计算和数据相结合的新关注。分布式系统中的通信。与此同时，边缘计算作为集中式云计算的补充，有时甚至是替代解决方案的激增，导致了应用程序和服务的边缘云连续体。边缘计算提供更接近服务需要的地方的资源，并支持新兴应用（例如，自动驾驶车辆、自主系统和 VR/AR），这些应用具有快速响应、低延迟、高带宽、信任敏感性、和/或继续操作，尽管连接间歇或不完整。这些趋势已融合为网络计算（COIN）的概念，即将网络内计算和网络处理集成在一个通用框架中。 COIN 自然地适合边缘-云连续体，其中从边缘到云基础设施（包括其间的点）提供了扩展的资源分配和紧密集成的计算网络功能。