分散的内容下载服务:智能的交通拥塞控制方式

R. Tanwar, K. Gupta, S. Chowdhary, Abhishek Srivastava, M. Papoutsidakis
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引用次数: 0

摘要

如今,随着人口的增长和技术的进步,网络上的流量日益增加。在当今世界,虚拟化正在迅速蔓延,每个人都使用互联网作为网络来下载任何格式的信息,如视频、音频、文本等,由于网络拥塞也以同样的比例增加下载。这种拥塞是由于集中化,即存储信息的服务器将充当集中式服务器,全球的每个人都将从同一台服务器下载,这导致不可计数的请求,并成为服务器端网络拥塞的原因。为了解决这一问题,我们提出了一种方法,即不再从主服务器下载,而是从已经下载的用户那里下载相同的文件或信息,即使信息的下载在网络上分布。这种方法非常有用,如果服务器发生故障,那么信息可以共享或从分布式源下载。这将很容易减少网络拥塞,也缩短了下载时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decentralized content downloading service: Intelligent way of traffic congestion control
Now a day, traffic over network is increasing day by day as increase in population and advancement of technology. In today's world, virtualization is spreading very drastically and everyone using internet as network for downloading information in any format like video, audio, text etc, due to which network congestion is also increasing in same ratio for downloading. This congestion is due to the centralization i.e. server where the information is stored will act as a centralized server and everyone across the globe will download from the same server which result in uncountable request and become a cause of network congestion at server side. To resolve such issue, we proposed an approach in which instead of downloading from main server, the same file or information get download from the user who have already downloaded i.e. making the downloading of information distributed over the network. This approach is very helpful in case, if failure of server happens then information gets shared or gets downloaded from distributed sources. This will reduce network congestion very easily and also fasten the downloading time.
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