Servlerless Mobile Edge Computing

无服务器移动边缘计算

• 批准号: RGPIN-2017-06618
• 负责人: deLara, Eyal
• 金额: $ 1.46万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=750025
• 关键词: Servlerless; Mobile; Edge; Computing

Current mobile networks are not able to support next generation applications that require low latency or that produce large volumes of data that can overwhelm the network infrastructure in a carrier network. Examples include wearable applications that assist individuals cognitive impairments, as well as safety critical applications, such as face recognition applications for airport security and surveillance. These applications require more computational resources than those that are currently available on mobile or embedded devices. The use of servers on the wide-area cloud, however, is also not an option as these applications require low response times, or involve processing of large volumes of data from multiple sensors and cameras. To address these challenges the research community and the telecommunications industry are exploring ways to add computation and storage capabilities to the edge of the network. These approaches, variously referred to as cloudlets, micro data centers, or fog, augment the traditional cloud architecture with an additional layer of servers that are located closer to the end user, typically one-hop away.This proposal puts forward a new vision that generalizes edge computing into a hierarchical cloud architecture deployed over the geographic span of a network. This vision will supports scalable processing by providing storage and computation along a succession of datacenters (of increasing sizes) positioned betweenthe end device (e.g., smartphone, IoT appliance) and the traditional wide area cloud datacenter. We explore the use a new cloud computing model know as Function as a Service (FaaS) as the deployment mechanism for running applications on a hierarchical cloud architecture along the the geographic span of the network. FaaS, also known as Serverless computing, is a cloud computing approach in which the cloud provider fully manages the infrastructure used to serve request, including the underlying virtual machines or containers, the host operating system, and the application run time. FaaS applications are composed of a collection of light-weight stateless event handlers that execute on a run time environment that is managed by the cloud provider. The small size and stateless nature of FaaS handlers makes them ideal candidates for our hierarchical cloud computing vision.

当前的移动网络无法支持需要低延迟或产生大量数据的下一代应用程序，这些数据可能会压垮运营商网络中的网络基础设施。示例包括帮助个人认知障碍的可穿戴应用程序，以及安全关键应用程序，例如用于机场安全和监控的人脸识别应用程序。 这些应用程序需要比当前移动或嵌入式设备上可用的计算资源更多的计算资源。然而，在广域云上使用服务器也不是一种选择，因为这些应用程序需要较短的响应时间，或者涉及处理来自多个传感器和摄像机的大量数据。 为了应对这些挑战，研究界和电信行业正在探索向网络边缘添加计算和存储功能的方法。这些方法分别被称为小云、微数据中心或雾，通过距离最终用户更近（通常是一跳）的附加服务器层来增强传统云架构。该提案提出了一种新愿景，将边缘计算推广到部署在网络地理范围内的分层云架构。这一愿景将通过沿着位于终端设备（例如智能手机、物联网设备）和传统广域云数据中心之间的一系列数据中心（规模不断增加）提供存储和计算来支持可扩展处理。 我们探索使用一种称为功能即服务 (FaaS) 的新云计算模型作为部署机制，在沿网络地理范围的分层云架构上运行应用程序。 FaaS，也称为无服务器计算，是一种云计算方法，其中云提供商完全管理用于服务请求的基础设施，包括底层虚拟机或容器、主机操作系统和应用程序运行时。 FaaS 应用程序由一组轻量级无状态事件处理程序组成，这些处理程序在云提供商管理的运行时环境上执行。 FaaS 处理程序的小尺寸和无状态特性使它们成为我们分层云计算愿景的理想候选者。