一种避免网络爬行过载的新方法

Lavanya Pamulaparty, C. V. Rao, M. S. Rao
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引用次数: 1

摘要

与人类搜索器相比,爬行器能够更深入、更快地检索数据。因此,它可能会对站点的性能造成严重影响。不用说,如果一个特定的爬虫每秒执行大量请求和/或,因此,在涉及多个爬虫的场景中,如果每个爬虫下载大文件和/或每秒执行大量请求,服务器很难处理请求。为了避免系统中检索数据的过载,提出了一种按序列顺序检索数据的序列流协议Leakey Bucket,并提出了保持入、峰、出三个阶段的移动无限制路由器(MUR, CFR)。如果入站流量小于峰值,则允许爬行,同时,如果入站流量大于或等于高度,则MUR协议停止爬行并请求服务器扩展网络资源。用于按顺序检索数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel approach for avoiding overload in the web crawling
In comparison to human searchers, crawlers are capable of retrieving data in greater depth and more quickly. As a result, it can face crippling impact on the performance of the site. Inessential to say, if a particular crawler is carrying out numerous requests per second and/or, Therefore, in a scenario involving multiple crawlers, it would be difficult for a server to handle requests in case each crawler downloads large files and/or performs numerous requests/second. So to avoid the overloading in the retrieving data in the proposed system a sequence flow protocol(Leakey Bucket) is which retrieves the data in the sequence order and also proposed mobbing unrestricted router (MUR)(CFR) which maintains three phases inbound, peak and outbound. If the inbound flow is less than the peak it allows the crawling, and at the same time if the inbound is greater than or equal to height the MUR protocol stops the crawling and request for the server to extend network resource. Is used for retrieving the data in sequential order.
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