An Extensible and Reliable Edge Computing Platform

可扩展且可靠的边缘计算平台

• 批准号: 543449-2019
• 负责人: Huang, Changcheng
• 金额: $ 1.82万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680261
• 关键词: Extensible; Reliable; Edge; Computing; Platform

The fast pace of edge computing along with 5G is bringing massive number of Internet-of-things (IoT) devices and connected automated vehicles (CAVs) to everyday life. For the ultimate goal of L5 autonomous driving, CAVs are loaded with state-of-the-art hardware which will contribute computing resources as part of edge computing. A number of challenges emerge to achieve this, including resource allocation, reliability, security, and mobility. Our goal is to design and implement a system that meets the requirements of edge computing with mobility and security constraints. Specifically, we propose an extensible and reliable edge computing platform by leveraging modern lightweight orchestration frameworks to extend the data processing capabilities on demand. Billing, incentive allocation, and reputation systems are also built on blockchain technology to coordinate multiple parties and satisfy security requirements.

随着5G的快速发展，边缘计算正在将大量的物联网(IoT)设备和互联的自动化车辆(CAV)带入日常生活。为了实现L5级自动驾驶的最终目标，Cavs搭载了最先进的硬件，这些硬件将作为边缘计算的一部分贡献计算资源。为了实现这一目标，出现了许多挑战，包括资源分配、可靠性、安全性和移动性。我们的目标是设计和实现一个满足移动和安全约束的边缘计算要求的系统。具体地说，我们提出了一个可扩展的、可靠的边缘计算平台，利用现代轻量级编排框架来按需扩展数据处理能力。计费、激励分配和声誉系统也构建在区块链技术之上，以协调多方并满足安全要求。