ICN-WEN: Collaborative Research: ICN-Enabled Secure Edge Networking with Augmented Reality

ICN-WEN：协作研究：基于 ICN 的增强现实安全边缘网络

• 批准号: 1719403
• 负责人: Lixia Zhang
• 金额: $ 95万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1719403&HistoricalAwards=false
• 关键词: ICN; WEN; Collaborative; Research; Enabled

Technological advances have moved society into an exciting era of mobile computing. Our daily lives can be further enriched by a new generation of mobile applications, such as augmented reality (AR) which broadens one's real-world perception by harmonizing sound, image, video, and sensors from multiple sources to aid comprehension and navigation. However, today's Internet operates with the address-based TCP/IP protocol architecture developed 40 years ago, which greatly limits the full promises of these new applications. Thus, current AR implementations face challenges in performance, scalability and availability upon disasters. This proposed research project (ICE-AR) aims to develop a new wireless network architecture to address these limitations and provide pervasive support for these emerging applications.The ICE-AR project team will apply and extend six years of research efforts on Named Data Networking (NDN), a realization of the Information Centric Networking (ICN) vision, to create this new architecture. The design emphasizes application-level data naming, data-centric security and computing, asynchronous publishing and consumption, and efficient use of local and proximate resources. The architecture will unify latest advances in wireless communication with domain-specific computing technologies to accelerate AR at the wireless edge and deliver robust performance, with or without the pre-deployed infrastructure support.

技术进步已经将社会带入了一个激动人心的移动的计算时代。 新一代的移动的应用可以进一步丰富我们的日常生活，例如增强现实（AR），它通过协调来自多个来源的声音、图像、视频和传感器来帮助理解和导航，从而拓宽人们的真实世界感知。 然而，今天的互联网使用40年前开发的基于地址的TCP/IP协议体系结构，这极大地限制了这些新应用的全部承诺。因此，当前的AR实现在性能、可扩展性和灾难时的可用性方面面临挑战。 ICE-AR项目团队将应用和扩展六年来对命名数据网络（NDN）的研究成果，实现信息中心网络（ICN）的愿景，以创建这种新的架构。 该设计强调应用程序级数据命名、以数据为中心的安全性和计算、异步发布和消费以及高效使用本地和邻近资源。该架构将统一无线通信的最新进展与特定领域的计算技术，以加速无线边缘的AR并提供强大的性能，无论是否有预部署的基础设施支持。

项目成果

Mobile Data Repositories at the Edge

• 发表时间: 2018-07
• 作者: I. Psaras;Onur Ascigil;Sergi Rene;G. Pavlou;Alexander Afanasyev;Lixia Zhang

TACTIC: Tag-Based Access ConTrol Framework for the Information-Centric Wireless Edge Networks

• DOI: 10.1109/icdcs.2018.00052
• 发表时间: 2018-07
• 期刊: 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)
• 作者: R. Tourani;Ray Stubbs;S. Misra

AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators

• DOI: 10.1145/3494534
• 发表时间: 2020-09
• 期刊: ACM Transactions on Design Automation of Electronic Systems (TODAES)
• 作者: Atefeh Sohrabizadeh;Cody Hao Yu;Min Gao;J. Cong

PolySA: Polyhedral-Based Systolic Array Auto-Compilation

• DOI: 10.1145/3240765.3240838
• 发表时间: 2018-11
• 期刊: 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
• 作者: J. Cong;Jie Wang

Achieving Resilient Data Availability in Wireless Sensor Networks

• DOI: 10.1109/iccw.2018.8403581
• 发表时间: 2018-05
• 期刊: 2018 IEEE International Conference on Communications Workshops (ICC Workshops)
• 作者: Xin Xu;Haitao Zhang;Tianxiang Li;Lixia Zhang