NeTS: JUNO2: Resilient Edge Cloud Designed Networks

NetS：JUNO2：弹性边缘云设计网络

• 批准号: 1818884
• 负责人: Tarek Saadawi
• 金额: $ 44.91万
• 依托单位: CUNY City College
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1818884&HistoricalAwards=false
• 关键词: NeTS; JUNO2; Resilient; Edge; Cloud

Achieving trustworthy IoT(Internet of Things) and CPS(Cyberphysical Systems) for Smart and Connected Communities (SCC) is both an important goal and a major challenge. The objective of this project is to address that challenge by leveraging a resilient edge cloud network--computing capabilities that are networked together and reside close to the end user and critical applications -- to enable fast response, scalability to a large number of applications, and fail-safe operation. The project will conduct collaborative and foundational research with collaborators in Japan, on a resilient edge cloud network to achieve basic understanding of the underlying science for future networks. The approach includes virtualized adaptable computing and networking, consideration of resource constraints, potential mobility of end devices/sensors and security. The results from this project will advance more resilient network-compute infrastructure for SCC applications such as smart health, smart transportation, smart energy, etc. The Japanese-US collaboration provides an international testbed for demonstrating the project approach. This project aims to improve the performance of IoT/CPS by realizing a resilient distributed edge cloud network architecture. The objective is to provide (1) coverage extension by introducing spatio-temporal floating edge cloud (EC) function over end devices; (2) resilient communication between end-devices and edge clouds via interface diversity and flow-based control; (3) optimal resource allocation among end-device, EC, and backend cloud (BC) to meet diverse quality-of-service requirements such as latency and blocking rate; (4) designing a spatially and temporally optimized and dynamically adjustable utilization of virtual network links and virtual machines (5) bio-inspired intrusion detection system for protecting IoT/CPS devices (5) distributed database using hypercube. The project will leverage the SmartCity testbed in New York and the StarBED4 testbed in Japan, which is a large-scale emulation/simulation infrastructure consisting of 1,000 servers. These will be integrated into a single testbed for large-scale real and emulation experiments, and will be accessible to both US and Japanese researchers on this project. The networks will be connected via global research networks i.e., Internet2 and NYSERNET in US, and JGN and SINET in Japan.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.

为智能互联社区（SCC）实现值得信赖的物联网（IoT）和信息物理系统（CPS）既是一个重要目标，也是一个重大挑战。 该项目的目标是通过利用弹性边缘云网络（联网并靠近最终用户和关键应用程序的计算功能）来应对这一挑战，以实现对大量应用程序的快速响应和可扩展性，和故障安全操作。 该项目将与日本的合作者就弹性边缘云网络进行协作和基础研究，以实现对未来网络基础科学的基本了解。该方法包括虚拟化自适应计算和网络、资源限制的考虑、终端设备/传感器的潜在移动性和安全性。 该项目的成果将为智能健康、智能交通、智能能源等 SCC 应用提供更具弹性的网络计算基础设施。日美合作为展示该项目方法提供了一个国际测试平台。该项目旨在通过实现弹性分布式边缘云网络架构来提高物联网/CPS 的性能。目标是通过在终端设备上引入时空浮动边缘云（EC）功能来提供（1）覆盖范围扩展； (2) 通过接口多样性和基于流的控制在终端设备和边缘云之间实现弹性通信； （3）终端设备、EC和后端云（BC）之间的最佳资源分配，以满足不同的服务质量要求，例如延迟和阻塞率； (4) 设计一个空间和时间优化且动态可调的虚拟网络链路和虚拟机的利用 (5) 用于保护 IoT/CPS 设备的仿生入侵检测系统 (5) 使用超立方体的分布式数据库。该项目将利用纽约的 SmartCity 测试台和日本的 StarBED4 测试台，这是一个由 1,000 台服务器组成的大规模仿真/模拟基础设施。 这些将被集成到一个用于大规模真实和仿真实验的测试平台中，并且该项目的美国和日本研究人员都可以使用它们。 这些网络将通过全球研究网络（即美国的 Internet2 和 NYSERNET，以及日本的 JGN 和 SINET）连接起来。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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

Development of LiDAR Based Navigation System for Automation of Tree Harvesting Process

开发基于激光雷达的导航系统，实现树木采伐过程的自动化

• 发表时间: 2021-01
• 期刊: Proceedings of International Conference on Artificial Life and Robotics
• 作者: Tominaga, A.;Koubara, A.;Fujisawa, R.;Hayashi, E.;and Mowshowitz, A.
• 通讯作者: and Mowshowitz, A.

Hosoya entropy of fullerene graphs

富勒烯图的 Hosoya 熵

• DOI: 10.1016/j.amc.2019.01.024
• 发表时间: 2019-07-01
• 期刊: Appl. Math. Comput.
• 作者: M. Ghorbani;M. Dehmer;M. Rajabi;F. Emmert;A. Mowshowitz
• 通讯作者: A. Mowshowitz

On the relationship between PageRank and automorphisms of a graph

论PageRank与图自同构之间的关系

• DOI: 10.1016/j.ins.2021.08.013
• 发表时间: 2021-11-01
• 期刊: Inf. Sci.
• 作者: M. Ghorbani;M. Dehmer;Abdullah Lotfi;Najaf Amraei;A. Mowshowitz;F. Emmert
• 通讯作者: F. Emmert

Efficient Data Diffusion and Elimination Control Method for Spatio-Temporal Data Retention System

时空数据保持系统的高效数据扩散与消除控制方法

• 发表时间: 2021-07
• 期刊: IEICE transactions on communications
• 影响因子: 0.7
• 作者: Yamasaki, s.;Nobayashi, D.;Tsukamoto, K.;Takeshi Ikenaga, T.;Lee, M.
• 通讯作者: Lee, M.

Detecting Insider attacks in Blockchain Networks

检测区块链网络中的内部攻击

• 发表时间: 2021-11
• 期刊: and Privacy (ISNCC- 2021 TSP
• 作者: Ajayi, O.;Saadawi, T.
• 通讯作者: Saadawi, T.