论文标题
基于边缘的体系结构，用于支持使用IOP范式执行环境智能任务
An edge-based architecture to support the execution of ambience intelligence tasks using the IoP paradigm
论文作者
论文摘要
在IOP环境中，已经提出了Edge Computing，以解决Edge设备（例如智能手机）以及高延迟，用户隐私暴露和网络瓶颈的资源限制问题，即云计算平台解决方案产生。本文介绍了一个由传感器，智能手机和边缘服务器等移动设备组成的上下文管理框架，以实现高性能，在边缘的上下文感知计算。该体系结构的关键功能包括为客户端提供可用的传感器和边缘服务，一种自动化的机制，用于在Edge服务器上进行任务计划和执行，以及一个动态环境，可以将新的传感器和服务添加到框架中。已经实施了该体系结构的原型，并提出了使用两个计算机视觉任务作为示例服务的实验评估。性能测量表明，示例任务的执行情况非常好，并且提出的框架非常适合边缘计算环境。
In an IoP environment, edge computing has been proposed to address the problems of resource limitations of edge devices such as smartphones as well as the high-latency, user privacy exposure and network bottleneck that the cloud computing platform solutions incur. This paper presents a context management framework comprised of sensors, mobile devices such as smartphones and an edge server to enable high performance, context-aware computing at the edge. Key features of this architecture include energy-efficient discovery of available sensors and edge services for the client, an automated mechanism for task planning and execution on the edge server, and a dynamic environment where new sensors and services may be added to the framework. A prototype of this architecture has been implemented, and an experimental evaluation using two computer vision tasks as example services is presented. Performance measurement shows that the execution of the example tasks performs quite well and the proposed framework is well suited for an edge-computing environment.
