Programmable Named Data-based Next Generation Software-Defined WANs

软件定义网络是一种新兴的模式，它为网络提供了对流量进行广泛控制的能力，以满足应用需求。研究和实际架构设计工作正在推动当今的技术接受数据平面设备的可编程性概念以及控制平面的抽象层。此外，命名数据网络是一种很有前途的以内容为中心的体系结构，它使用可路由的内容名称而不是IP地址来实现与位置无关的转发。有了命名数据网络，软件定义网络将把网络行业转变为一个开放的生态系统，通过开发新的软件化网络体系结构，例如软件化的广域命名数据网络体系结构，可以服务于资源受限的设备与现代分散和以内容为中心的应用程序交互。我们认为，由于(I)网络软件化和虚拟化的进步；(Ii)采用可编程交换机的日益增长的趋势；(Iii)以内容为中心的联网概念的出现和(Iv)人工智能技术的成熟，现在的明星们都在发展软件化的广域命名数据网络。然而，为了在这些技术之间产生协同作用并实现软件化网络，必须解决一些根本挑战。这项研究计划的长期目标是解决关键研究挑战，以实现一种新型的软件化广域命名数据网络的愿景。为了实现这一目标，我们将重点关注以下三个短期目标：(1)设计一种新型的虚拟化和可编程的数据平面，可以同时服务于IP和命名数据分组。数据平面必须能够以线速解析/解解析和处理分组，并提供广泛的分组处理能力。(2)开发一致且可扩展的控制平面协调，目标是最大限度地减少控制器和数据平面交互，同时实现可扩展性和一致性，以确保IP和命名数据流的网络功能高效共存。(3)使用智能扩展数据平面，以适应不断发展的应用的需求(例如，能够创建预配置的流量高速公路而无需存储转发处理)，并为基于内容的应用带来新的定制服务(例如，线速网内分组加载处理和缓存)。在未来的下一代网络和业务中，实现软件广域命名数据网络的愿景将是至关重要的。它将有助于快速部署创新的网络服务，同时减少网络运营商的资本和运营支出。拟议的研究计划将产生推动下一波网络创新所需的学员。这项研究的结果将作为加拿大在快节奏数字进步中的国家领导地位的种子。

Software Defined Networking is an emerging paradigm that provides networks the ability of having extensive control over traffic flows to meet application needs. Research and practical architecture designs efforts are driving today's technology to embrace the concept of programmability of data plane devices along with an abstract layer for the control plane. Furthermore, Named Data Networking is a promising content-centric architecture that uses routable content names instead of IP addresses to achieve location-independent forwarding. With Named Data Networking, Software Defined Networking will transform the network Industry into an open ecosystem by enabling the development of new softwarized network architectures, such as a softwarized wide-area named-data-network architecture, that can serve resource-constrained devices interacting with modern dispersed and content-centric applications. We believe that the stars are now aligned to develop softwarized wide-area named-data-networks thanks to (i) advances in network softwarization and virtualization;(ii) the growing trend of adopting programmable switches; (iii) the emergence of content centric networking concepts and (iv) the maturation of artificial intelligence techniques. However, a number of fundamental challenges must be addressed in order to create the synergy among these technologies and realize a softwarized network. The long-term objective of this research program is to address key research challenges for realizing the vision of a novel softwarized wide-area named-data-network. To achieve this goal, we will focus on the following three primary short-term objectives: (1) Design a novel virtualized and programmable data plane that can serve both IP and named-data packets. The data plane must be able to parse/de-parse and process packets at line speed, and offer a wide range of packet processing capabilities. (2) Develop a consistent and scalable control plane orchestration with the goal of minimizing the controller and data plane interactions while achieving scalability and consistency to ensure the efficient coexistence of network functions for both IP and named-data flows. (3) Extend the data plane with intelligence to adapt to the needs of evolving applications (e.g., the ability to create preconfigured traffic highways with no store-and-forward processing) and to bring new customized services to content-based applications (e.g., line-speed in-network packet load processing and caching). Realizing the vision of softwarized wide-area named-data-network will be essential in future next generation networks and services. It will contribute to rapid deployment of innovative network services while reducing network operator's capital and operational expenditures. The proposed research program will produce the trainees needed to drive next wave of network innovation. The outcome of this research will serve as the seed for Canada's national leadership in the fast-paced digital advances.