论文标题
评估以服务器为中心的被动光网络数据中心体系结构的应用程序延迟
Evaluation of Applications Latency in Server Centric Passive Optical Network Based Data Centre Architectures
论文作者
论文摘要
在过去的十年中，云中运行的应用程序数量以及访问它们的用户数量大大增加。数据中心资源，体系结构和条件定义了在其上运行的应用程序的性能。网络效率的主要衡量标准之一是潜伏期，这可能会对资源利用，功耗和整体性能产生巨大影响。在本文中，通过在运行面部识别软件时测量潜伏期来评估雾网络的性能。该网络由两个处理单元组成，一个核心网络和一个PON单元组成。结果表明，在本文中介绍的端到端网络设置中运行面部识别软件如何影响网络延迟。
The number of applications running in the cloud has dramatically increased in the past decade as well as the number of users accessing them. Data centres resources, architectures and conditions define the performance of the applications running on them. One of the main measures of the network efficiency is the latency, which can have a huge effect on resources utilisation, power consumption and the overall performance. In this paper, the performance of a fog network is evaluated by measuring the latency while running a facial recognition software. The network consists of two processing cells, a core network and a PON cell. The results show how network latency is affected by running the facial recognition software in the end-to-end network setup introduced in this paper.
