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How Edge Computing and Initial Congestion Window Affect Latency of Web-Based Services: Early Experiences with Baidu?

机译:Heve Computing和初始拥塞窗口如何影响基于Web的服务的延迟:百度的早期经历?

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More and more things, generating huge data, will come into and enrich our lives, and the Web of Things (WoT) as a guide allows these things to be part of the World Wide Web (WWW), by using various data analysis services on the WWW. However, based on our observation on the image recognition and searching service of Baidu, pure image data transmission costs hundreds of milliseconds, besides the time of connection establishment. Inspired by the emerging Edge Computing, we analyzed the relationship between time consumption and different service provider's locations, as well as different initial congestion windows of the Transmission Control Protocol (TCP), which affect web-based services' performance. Based on our experiments in different scenarios (i.e., initial congestion window, speed of connection device and server location), we found that pushing services to the edge of network and increasing initial congestion window, both of them can reduce latency on connection establishment and data transmission, especially when users are traveling at a high speed.
机译:越来越多的事情,产生巨大的数据,将进入并丰富我们的生活,以及作为指导的事物(WOT)允许这些事情成为万维网(www)的一部分,通过使用各种数据分析服务www。然而,基于我们对百度的图像识别和搜索服务的观察,除了连接建立时,纯图像数据传输是数百毫秒的。灵感来自新兴优势计算,我们分析了时间消耗和不同的服务提供商的位置之间的关系,以及影响基于Web的服务的性能的传输控制协议(TCP)的不同初始拥塞窗口。基于我们的实验(即初始拥塞窗口,连接设备和服务器位置的速度),我们发现将服务推向网络边缘和增加初始拥塞窗口,它们都可以减少连接建立和数据的延迟传输,特别是当用户以高速行驶时。

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