基于容错方法的车载云实时系统(VCRTS)设计与实现

Luther Bell, Puya Ghazizadeh, Samy El-Tawab, Aida Ghazizadeh
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引用次数: 1

摘要

车载云继承自云计算概念。停放在停车场的车辆可以整合计算、传感、通信和物理资源。“车辆云”的灵感来自于这样一种认识,即当今的车辆配备了强大的车载计算机、强大的收发器和一系列令人印象深刻的传感设备。事实证明,大多数时候,我们车辆中可用的计算、存储和通信资源长期未得到充分利用。我们正在把这些资源以一种有意义的方式投入使用,以提供计算能力,这在我们现代社会的服务提供商、运输系统、医疗保健和在线教育中起着至关重要的作用。车载云基于资源共享模型向用户提供计算能力。在这个模型中,车主出租他们的车载计算能力,以获得奖励或免费停车位。为了使用这种计算能力,应该有一种向系统提交作业的方法。在这项工作中,我们开发了一个车载云框架来管理车辆的车载计算资源和用户提交的计算任务。该框架将在一个名为车辆云实时系统(VCRTS)的软件系统中提供给用户。车辆云中车辆的随机到达和离开会影响计算节点的可用性,导致计算过程中断。我们基于容错方法来设计和实现VCRTS,以防止作业执行中的中断。我们的方法使用冗余机制来处理作为计算节点的车辆到达和离开的随机性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of a Vehicular Cloud Real Time System (VCRTS) Using a Fault-Tolerant Approach
Vehicular Clouds are inherited from the cloud computing concept. Vehicles standing in a parking lot can corporate computing, sensing, communication, and physical resources. Vehicular Clouds were motivated by the realization that present- day vehicles are equipped with powerful onboard computers, powerful transceivers, and an impressive array of sensing devices. As it turns out, most of the time, the computing, storage, and communication resources available in our vehicles are chronically under-utilized. We are putting these resources to work in a meaningful way to provide computation power, which plays an essential role for service providers, transportation systems, health care, and online education in our modern society. Vehicular Clouds provide computation power to users based on a resource- sharing model. In this model, vehicle owners rent out their onboard computation powers to receive incentives in the form of payments or free parking spots. To use this computation power, there should be a way to submit jobs to the system. In this work, we develop a framework for the vehicular cloud to manage the onboard computation resource of the vehicles and computation tasks that users submit. This framework will be available to users in a software system called Vehicular Cloud Real-Time System (VCRTS). Random arrival and departure of vehicles in vehicular clouds can impact the computation nodes’ availability and lead to an interruption in the computation process. We design and implement the VCRTS based on a fault-tolerant approach to prevent interruption in job execution. Our approach uses a redundancy mechanism to handle the random nature of arrival and departure of the vehicles that are used as computation nodes.
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