Vehicular Clouds: Enabling Next Generation Connected and Autonomous in-Vehicles Experiences

互联和自动驾驶汽车、智能交通系统、车联网（IoV）和互联智能城市的未来应用将对大规模传感、存储、通信和计算资源产生前所未有的需求，远远超出当前移动的计算和网络系统的能力。最近对连接和自动驾驶车辆的兴趣的上升以及移动的云计算和联网的最新进展为使用车辆云范例的可用计算通信和存储资源的智能和创造性管理和利用创造了新的机会。然而，一些根本性的艰巨挑战仍然存在，需要进一步深入调查。 该提案致力于为创新的车辆云基础设施奠定基础，该基础设施将提供对各种资源的需求，从而应对对计算、内容、存储和频谱资源以及基于互联和自动驾驶车辆的应用程序日益增长的需求。为此，该计划将通过大规模移动的网络管理、云计算以及针对联网和自动驾驶汽车的时间关键型和基于信息娱乐的应用程序的优化资源分配，解决车辆云连接方面的关键和根本挑战。 PI正在响应互联和自动驾驶汽车以及智能交通系统日益增长的需求。本研究的长期愿景是为智能和互联交通系统设计有效的资源管理和V2E发现协议。 最后，但并非最不重要的是，该计划预计将产生的知识和原则，将导致一个新时代的车辆网络和服务提供系统的发展，以连接车辆为基础的应用程序，以及培训HQP在一个令人印象深刻的增长需求的IT和运输加拿大公司，同时协助这些加拿大行业成为技术进步的领跑者。

Future applications of connected and autonomous cars, smart transportation systems, Internet of vehicles (IoV) and connected smart cities will create an unprecedented demand for massive sensing, storage, communication and computation resources far beyond the capacity of current mobile computing and networking systems. The rising recent interests of connected and autonomous vehicles and the recent advances of mobile cloud computing and networking create new opportunities for smart and creative management and utilization of the available computing communication and storage resources using vehicular cloud paradigm. However, several fundamental and daunting challenges still remain open and need further and deep investigation. This proposal is devoted to developing the foundation towards an innovative vehicular cloud infrastructure, which will supply the need for all sort of resources, which in turn will handle the growing demands for computation, content, storage and spectrum resources, as well as connected and autonomous vehicles based-applications in general. To do so, this program will address critical and fundamental challenges in terms of vehicular cloud connectivity through large-scale mobile network management, cloud computing and optimized resource allocation for connected and autonomous vehicles' time-critical and infotainment based-applications. The PI is responding to the growing demands of connected and autonomous vehicles and intelligent transportation systems. The long-term vision of this research is towards the design of efficient resource management and discovery protocols for V2E using vehicular cloud paradigm for smart and connected transportation systems. Last, but not least, this program is expected to produce the knowledge and principle that will lead to the development of a new era in the vehicular networking and service provisioning system for connected vehicular based applications, as well as training HQP in an areas with impressive growing demands by IT and transportation Canadian companies while assisting these Canadian industries to be the frontrunner of the technological advancements.