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

NeTS：小型：优化物联网架构中的网络控制和功能虚拟化

• 批准号: 1815676
• 负责人: Leandros Tassiulas
• 金额: $ 48.77万
• 依托单位: Yale University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1815676&HistoricalAwards=false
• 关键词: NeTS; Small; Optimizing; Network; Control

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.

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。可扩展性、性能和管理的复杂性是物联网面临的主要挑战之一，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上，如基于云的电信和企业网络。 由于物联网中存在大量异构和资源受限的设备和服务（例如，用于健康，家庭，环境和交通监控），因此将其应用于物联网网络存在重大挑战。 该项目旨在通过开发物联网网络控制设计的新方法来应对这一挑战，特别是在SDN控制平面以及数据平面中NFV功能的部署和管理中，以支持在日常生活中变得越来越重要的大量物联网应用。 第二部分：在该项目中，提出了SDN控制平面的分层分散化，沿着提出了用于数据传输和虚拟功能处理分配的动态平衡的优化框架。首先，该项目将探索专门为满足物联网需求而优化的分散式SDN控制平面。其次，它将提供一种系统的方法，用于基于坚实的概念基础优化数据平面中NFV功能的部署和管理。 尖端的理论方法将寻求解决上述问题，在网络原型和实验的同时，利用耶鲁大学正在进行的网络实验工作。该奖项反映了NSF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。

项目成果

Blockchain-Based Payment Channel Networks: Challenges and Recent Advances

基于区块链的支付渠道网络：挑战和最新进展

• DOI: 10.1109/access.2020.3046020
• 发表时间: 2020
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: Papadis, Nikolaos;Tassiulas, Leandros
• 通讯作者: Tassiulas, Leandros

Approximation algorithms for data-intensive service chain embedding

• DOI: 10.1145/3397166.3409149
• 发表时间: 2020-10
• 期刊: Proceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
• 作者: Konstantinos Poularakis;Jaime Llorca;A. Tulino;L. Tassiulas

Network Slicing in Heterogeneous Software-defined RANs

• DOI: 10.1109/infocom41043.2020.9155532
• 发表时间: 2020-07
• 期刊: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications
• 作者: Qiaofeng Qin;Nakjung Choi;Muntasir Raihan Rahman;M. Thottan;L. Tassiulas

Online Network Flow Optimization for Multi-Grade Service Chains

• DOI: 10.1109/infocom41043.2020.9155341
• 发表时间: 2020-07
• 期刊: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications
• 作者: Víctor Valls;G. Iosifidis;Geeth de Mel;L. Tassiulas

Joint Deployment and Pricing of Next-Generation WiFi Networks

• DOI: 10.1109/tcomm.2019.2919590
• 发表时间: 2019-05
• 期刊: IEEE Transactions on Communications
• 影响因子: 8.3
• 作者: Konstantinos Poularakis;G. Iosifidis;L. Tassiulas