NeTS: Small: SMILE -- Towards Smarter Network Edges for Next Generation Networks

NeTS：小型：SMILE——迈向下一代网络的更智能网络边缘

• 批准号: 1764185
• 负责人: Tamer Nadeem
• 金额: $ 49.11万
• 依托单位: Virginia Commonwealth University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1764185&HistoricalAwards=false
• 关键词: NeTS; Small; SMILE; Towards; Smarter

As the number of smart devices and their applications continue to grow, transmission of mobile traffic data over wireless links (i.e., Wi-Fi and cellular links) is continuing to increase significantly. To cope with the explosion of smart devices coupled with a growing proliferation of cloud or edge-based applications, best-effort Quality Of Service is no longer a satisfactory solution and a new breed of intelligent networks is required. More specifically, it is now necessary to have greater visibility and control over the traffic generated from the smart devices in order to deliver optimal performance and a high Quality of Experience to a variety of users and applications. Software Defined Networks (SDN) are a way to facilitate wired network evolution by enabling flexible, controllable, and efficient networks. Motivated by the unique difference of wireless (vs. wired), this project aims to develop and evaluate SMILE (SMart and Intelligent wireLess Edge framework) that supports SDN-like structure at network wireless edge that include both wireless access devices (e.g., Wi-Fi Access Points (APs)) and end-devices. Extending SDN paradigm all the way to smart end-devices would realize our objective in making the network, both wired and wireless, open, flexible and programmable to provide truly end-to-end management and control in which users could reap the full benefits of SDN. The proposed research is expected to advance the state of the art of networking and mobile computing.The proposed project, SMILE, aims to achieve the following main goals: i) Design and development of SMILE framework that supports wireless networks to be open, flexible, and programmable to cope with complexity, dynamic nature, and uncertainty associated with wireless networks, ii) Draw on the developed SMILE framework to design and develop three different network services such as edge-based fine-grained context-aware video adaptation service, and iii) Implement and evaluate the developed smart protocols and services on medium-scale testbed of smartphones and Wi-Fi APs as well as simulation tools. All schemes/protocols, software development, testbed realization, experimental results will be made open available to the research community. This project will also carry out a number of educational activities involving K-12, undergraduate, and graduate students, make strong outreach efforts for recruiting and mentoring under-represented students, and enriching undergraduate and graduate curricula through exposing students to cutting-edge research in wireless networks, and mobile computing. In addition, several industrial collaborations are expected within the scope of this project.

随着智能设备及其应用的数量持续增长，通过无线链路（即，Wi-Fi和蜂窝链路）继续大幅增加。为了科普智能设备的爆炸式增长以及云或基于边缘的应用程序的不断增长，尽力而为的服务质量不再是一个令人满意的解决方案，需要一种新的智能网络。更具体地说，现在有必要对智能设备产生的流量进行更好的可视性和控制，以便为各种用户和应用程序提供最佳性能和高质量的体验。软件定义网络（SDN）是通过实现灵活、可控和高效的网络来促进有线网络演进的一种方式。受无线（与有线）的独特差异的启发，本项目旨在开发和评估SMILE（SMAt和智能无线边缘框架），该框架在网络无线边缘支持类似SDN的结构，包括无线接入设备（例如，Wi-Fi接入点（AP））和终端设备。将SDN范式一直扩展到智能终端设备将实现我们的目标，使有线和无线网络开放，灵活和可编程，以提供真正的端到端管理和控制，用户可以获得SDN的全部好处。拟议的研究预计将推动网络和移动的计算技术的发展。拟议的SMILE项目旨在实现以下主要目标：i）设计和开发SMILE框架，该框架支持无线网络是开放的、灵活的和可编程的，以科普与无线网络相关联的复杂性、动态性和不确定性，ii）利用已开发的SMILE框架设计和开发三种不同的网络服务，例如基于边缘的细粒度上下文感知视频自适应服务，和iii）在智能手机和Wi-Fi的中型测试平台上实施和评估所开发的智能协议和服务。Fi AP以及模拟工具。所有方案/协议、软件开发、试验台实现、实验结果都将向研究界开放。该项目还将开展一系列涉及K-12、本科生和研究生的教育活动，为招募和指导代表性不足的学生做出强有力的宣传努力，并通过让学生接触无线网络和移动的计算方面的前沿研究来丰富本科生和研究生课程。此外，预计在该项目范围内将开展几项工业合作。

项目成果

A Novel Technique for Gait Analysis Using Two Waist Mounted Gyroscopes

使用两个腰部安装陀螺仪进行步态分析的新技术

• DOI: 10.1109/globecom38437.2019.9013806
• 发表时间: 2019
• 期刊: 2019 IEEE Global Communications Conference (GLOBECOM
• 作者: Nasr, Ahmed;Nadeem, Tamer
• 通讯作者: Nadeem, Tamer

Collaborative Intelligent Cross-Camera Video Analytics at Edge: Opportunities and Challenges

• DOI: 10.1145/3363347.3363360
• 发表时间: 2019-09
• 期刊: Proceedings of the First International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things
• 作者: H. Pasandi;T. Nadeem

MAC Protocol Design Optimization Using Deep Learning

• DOI: 10.1109/icaiic48513.2020.9065254
• 发表时间: 2020-02
• 期刊: 2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
• 作者: H. Pasandi;T. Nadeem

iBranchy: An Accelerated Edge Inference Platform for IoT Devices

iBranchy：物联网设备的加速边缘推理平台

• 发表时间: 2021
• 期刊: 2021 ACM/IEEE 6th Symposium on Edge Computing (SEC
• 作者: Nukavarapu, Santosh K.;Ayyat, M.;Nadeem, T.
• 通讯作者: Nadeem, T.

MirageNet - Towards a GAN-based Framework for Synthetic Network Traffic Generation

MirageNet - 迈向基于 GAN 的合成网络流量生成框架

• 发表时间: 2022
• 期刊: IEEE Global Communications Conference 2022
• 作者: Nukavarapu, Santosh K.;Ayyat, M.;Nadeem, T.
• 通讯作者: Nadeem, T.