Large-Scale Distributed Simulation And Vehicular Networking

大规模分布式仿真与车载网络

• 批准号: CRC-2019-00050
• 负责人: Boukerche, Azzedine
• 金额: $ 14.57万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=730598
• 关键词: Large; Scale; Distributed; Simulation; Vehicular

Mobile edge/fog computing paradigm is a promising solution for new emerging storage burdens and computation intensive applications. Distributed simulation-based training facilities, smart disaster management systems, intelligent transportation systems and smart cities are some examples of these applications that can benefit significantly from the mobile edge/fog computing paradigm. In this CRC research program, we propose novel techniques including theoretical and practical aspects of mobile fog/edge computing, large-scale distributed systems, and mobile networking to design efficient, scalable, and meaningful distributed and mobile systems, such as those for large-scale distributed simulations and intelligent connected/autonomous vehicular networks.

移动边缘/雾计算模式对于新兴的存储负担和计算密集型应用是一种很有前途的解决方案。基于分布式模拟的培训设施、智能灾害管理系统、智能交通系统和智能城市就是这些应用的一些例子，它们可以从移动边缘/雾计算范式中受益匪浅。在本次CRC研究计划中，我们提出了包括移动雾/边缘计算、大规模分布式系统和移动网络的理论和实践方面的新技术，以设计高效、可扩展和有意义的分布式和移动系统，例如用于大规模分布式仿真和智能互联/自主车载网络的系统。