Fog Machine: A Fault-Tolerant System and Programming Framework for Cloud of Moving Things

雾机：移动物云的容错系统和编程框架

• 批准号: RGPIN-2017-05214
• 负责人: Maheswaran, Muthucumaru
• 金额: $ 1.46万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634522
• 关键词: Fog; Machine; Fault; Tolerant; System

Cloud computing and mobile computing have been two dominant drivers of computing trends in the last few years. One of the challenges of using cloud computing to power mobile applications is the significant network distance between the server resources and the clients and the consequent problems in delivering guaranteed qualities of services. To address these problems “edge” computing paradigms such as fogs that bring clouds closer to the clients have been proposed. With the impending boom of Internet of Things such as connected cars and smart homes, edge computing is poised to play a larger role in any computing infrastructure of the future. The three-layered distributed computing architecture formed by such a cloud-fog-device system introduces many new challenges. Chief among them is the programmability of the system.

云计算和移动的计算是过去几年计算趋势的两个主要驱动力。使用云计算为移动的应用提供动力的挑战之一是服务器资源和客户端之间的显著网络距离以及在交付有保证的服务质量方面随之产生的问题。为了解决这些问题，人们提出了“边缘”计算范例，例如使云更接近客户端的雾。随着物联网（如联网汽车和智能家居）的蓬勃发展，边缘计算将在未来的任何计算基础设施中发挥更大的作用。由这种云-雾-设备系统形成的三层分布式计算架构引入了许多新的挑战。其中最主要的是系统的可编程性。