Operations and Maintenance Support for Smart Applications and Virtual Infrastructure Testbed

智能应用和虚拟基础设施测试床的运维支持

• 批准号: RTI-2017-00646
• 负责人: LeonGarcia, Alberto
• 金额: $ 7.42万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=616738
• 关键词: Operations; Maintenance; Support; Smart; Applications

This testbed allows researchers to configure heterogeneous resources in support of at-scale experiments that can span multiple tiers, from a single electronic board to multiple edge nodes in a city or even across its many nodes in North America. Under an integrated management system, the testbed can provide an experiment with conventional cloud computing resources (virtual machines, containers) as well as virtualized heterogeneous resources (FPGAs, GPUs, software radio modules, switches, storage, access points) and multi-gigabit speed network interconnectivity using software-defined networks. Researchers can thus access this very large pool of shared resources and configure continent-scale experiments with ease. The testbed supports research that will show how large-scale information and communications technology (ICT) can provide solutions to major socio-economic problems (transportation, air quality, carbon footprint, manufacturing) while at the same time offer solutions to fundamental challenges inherent in the growth of ICT, namely scalability, performance, energy efficiency, and carbon footprint. The research provides solutions to the next generation of communications: cooperative architectures for wireless 5G networks; compression and transmission of video signals; heterogeneous computing for wireless communications. The testbed will develop strategies for the transition of networks to software control through research in software-defined networks, network function virtualization, and management of virtual resources; and research to enhance the virtualization and programmability of hardware resources to improve energy efficiency and performance in datacenters as well in other tiers of the cloud such as the Internet of Things. The testbed will lead to methods to enable large distributed infrastructures to adaptively support large-scale applications as demand varies in time and space. Finally, the testbed will enable the next generation of applications that will leverage this multitier cloud, for example, control of cyber-physical systems such as collaborating autonomous vehicles, and management systems for multimodal transportation, smart grids, and smart cities. The applicants are a distinguished set of Canadian researchers including three Fellows of the IEEE and five Canada Research Chairs. The testbed is important to the team. It allows them to play a leadership role in introducing new concepts that can be proven through implementation. The team's research is important to the Canadian ICT industry, including service providers, equipment vendors, and system integrators, which already works closely with the team by sponsoring research as well as hiring students. The team trains 150 students per year. The research helps Canada create jobs to commercialize its outcomes and provides solutions in transportation, air quality, and carbon footprint.

该测试台允许研究人员配置异构资源，以支持跨多个层次的大规模实验，从单个电子板到城市中的多个边缘节点，甚至跨北美的多个节点。在集成管理系统下，该测试床可以提供传统云计算资源（虚拟机、容器）以及虚拟化异构资源（FPGA、GPU、软件无线电模块、交换机、存储、接入点）以及使用软件定义网络的多千兆速度网络互连的实验。因此，研究人员可以访问这个非常大的共享资源池，并轻松配置大陆规模的实验。 该测试平台支持的研究将展示大规模信息和通信技术 (ICT) 如何为主要社会经济问题（交通、空气质量、碳足迹、制造）提供解决方案，同时为 ICT 增长所固有的基本挑战（即可扩展性、性能、能源效率和碳足迹）提供解决方案。该研究为下一代通信提供了解决方案：无线 5G 网络的协作架构；视频信号的压缩和传输；无线通信的异构计算。该测试平台将通过软件定义网络、网络功能虚拟化和虚拟资源管理方面的研究，制定网络向软件控制过渡的策略；研究增强硬件资源的虚拟化和可编程性，以提高数据中心以及物联网等其他云层的能源效率和性能。该测试平台将带来一些方法，使大型分布式基础设施能够随着时间和空间上的需求变化而自适应地支持大规模应用程序。最后，该测试平台将支持利用多层云的下一代应用程序，例如协作自动驾驶车辆等网络物理系统的控制，以及多式联运、智能电网和智能城市的管理系统。 申请人是一群杰出的加拿大研究人员，其中包括三名 IEEE 院士和五名加拿大研究主席。测试平台对团队很重要。它使他们能够在引入可通过实施证明的新概念方面发挥领导作用。该团队的研究对于加拿大信息通信技术行业（包括服务提供商、设备供应商和系统集成商）非常重要，这些行业已经通过赞助研究和雇用学生与该团队密切合作。该团队每年培训150名学生。该研究帮助加拿大创造就业机会，将其成果商业化，并提供交通、空气质量和碳足迹方面的解决方案。