论文标题
无人自动驾驶汽车启用的边缘计算
Edge Computing Enabled by Unmanned Autonomous Vehicles
论文作者
论文摘要
普遍的应用程序彻底改变了用户对环境的看法。实际上,普遍的应用程序对从多个来源收集的大量流传感器数据进行了资源密集型计算。这使应用程序可以对控制我们周围所有事物的自然特征提供更丰富,深入的见解。这些应用程序的关键局限性是它们具有高能量足迹,这反过来妨碍了用户的经验质量。尽管可以应用云和边缘计算解决方案来减轻问题,但这些解决方案在现有建筑中很难采用,并且远非无处不在。幸运的是,Cloudlet变得足够便携,因此它们可以轻松而动态地运输并集成到任何环境中。在本文中,我们研究了如何通过无人自动驾驶汽车(UAV)运输Cloudlets,以在边缘提供计算支持。基于我们的研究,我们开发了Geese,这是一种新型的无人机系统,可以通过携带Cloudlet的多个无人机的合作来实现边缘计算基础架构的动态部署。通过使用鹅,我们进行了严格的实验,以分析使用空中,地面和水下无人机交付Cloudlet的努力。我们的结果表明,无人机可以以合作的方式工作,以实现野外的边缘计算。
Pervasive applications are revolutionizing the perception that users have towards the environment. Indeed, pervasive applications perform resource intensive computations over large amounts of stream sensor data collected from multiple sources. This allows applications to provide richer and deep insights into the natural characteristics that govern everything that surrounds us. A key limitation of these applications is that they have high energy footprints, which in turn hampers the quality of experience of users. While cloud and edge computing solutions can be applied to alleviate the problem, these solutions are hard to adopt in existing architecture and far from become ubiquitous. Fortunately, cloudlets are becoming portable enough, such that they can be transported and integrated into any environment easily and dynamically. In this article, we investigate how cloudlets can be transported by unmanned autonomous vehicles (UAV)s to provide computation support on the edge. Based on our study, we develop GEESE, a novel UAVbased system that enables the dynamic deployment of an edge computing infrastructure through the cooperation of multiple UAVs carrying cloudlets. By using GEESE, we conduct rigorous experiments to analyze the effort to deliver cloudlets using aerial, ground, and underwater UAVs. Our results indicate that UAVs can work in a cooperative manner to enable edge computing in the wild.