NeTS: Small: Optimizing Network Control and Function Virtualization in Internet of Things Architectures

第一部分：物联网（IoT）预计将对经济、工业、社会和日常生活产生多方面的影响。扩展、性能和管理复杂性是物联网面临的关键挑战，并将在很大程度上决定其成功与否。该项目旨在利用物联网中的软件定义网络（SDN）和网络功能虚拟化（NFV）来应对这些挑战。SDN和NFV促进了网络控制的创新，降低了网络中新功能和高级功能的进入门槛。然而，到目前为止，对这些技术的研究主要集中在集中式系统，如基于云的电信和企业网络。将它们应用于物联网网络存在重大挑战，因为物联网中有大量异构且资源受限的设备和服务（例如用于健康、家庭、环境和运输监测）。该项目旨在通过开发物联网网络控制设计的新方法来解决这一挑战，特别是在SDN控制平面和NFV功能在数据平面的部署和管理，以支持在日常生活中变得越来越重要的大量和不断扩展的物联网应用。第2部分：在本项目中，提出了SDN控制平面的分层去中心化，以及数据传输和虚拟功能处理分配动态平衡的优化框架。首先，本项目将探索一个专门针对物联网需求进行优化的分散式SDN控制平面。其次，它将基于坚实的概念基础，为优化数据平面NFV功能的部署和管理提供系统的方法。在网络原型和实验的同时，将采用前沿的理论方法来解决上述问题，并利用耶鲁大学正在进行的网络实验工作。这将验证拟议解决方案的有效性，并将促进正在考虑的支持SDN/ nfv的物联网架构的进一步发展。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Part 1: The Internet of Things (IoT) is expected to have a multifaceted impact on economy, industry, society, and everyday life. Scaling, performance and complexity of management are among the key challenges in IoT and will largely determine its success. This project aims to leverage Software Defined Networking (SDN) and Network Function Virtualization (NFV) in IoT to address those challenges. SDN and NFV facilitate innovation in network control, lowering the barrier to entry for new and advanced functionality in the network. However, so far, the research on these technologies has been primarily focused on centralized systems such as cloud-based telco and enterprise networks. There are major challenges in applying them to IoT networks because of the large number of heterogeneous and resource-constrained devices and services in IoT (e.g. for health, home, environmental, and transportation monitoring). This project seeks to address that challenge by developing new approaches for the design of IoT network control, specifically in the SDN control plane and the deployment and management of NFV functionality in data plane, in order to support the large and expanding number of IoT applications that are becoming more critical in everyday life. Part 2: In this project, a hierarchical decentralization of the SDN control plane is proposed along with an optimization framework for the dynamic balancing of data transmissions and virtual function processing allocations. First, this project will explore a decentralized SDN control plane optimized specifically to meet IoT needs. Second, it will provide a systematic methodology for optimizing the deployment and management of NFV functionality in the data plane based on a solid conceptual foundation. Cutting-edge theoretical methodologies will be pursued for addressing the above issues, in parallel with network prototyping and experimentation, leveraging ongoing network experimentation efforts at Yale. This will verify the efficacy of the proposed solutions, and will facilitate further development the SDN/NFV-enabled IoT architectures under consideration.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.