CrawlPart: Creating Crawl Partitions in Parallel Crawlers

Sonali Gupta, K. Bhatia
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引用次数: 5

Abstract

With the ever proliferating size and scale of the WWW [1], efficient ways of exploring content are of increasing importance. How can we efficiently retrieve information from it through crawling? And in this "era of tera" and multi-core processors, we ought to think of multi-threaded processes as a serving solution. So, even better how can we improve the crawling performance by using parallel crawlers that work independently? The paper devotes to the fundamental advantages and challenges arising from the design of parallel crawlers [4]. The paper mainly focuses on the aspect of URL distribution among the various parallel crawling processes. How to distribute URLs from the URL frontier to the various concurrently executing crawling process threads is an orthogonal problem. The paper provides a solution to the problem by designing a framework that partitions the URL frontier into a several URL queues by ordering the URLs within each of the distributed set of URLs.
CrawlPart:在并行爬虫中创建爬虫分区
随着WWW规模的不断扩大[1],高效的内容探索方式变得越来越重要。我们如何通过爬行有效地从中检索信息?在这个“tera时代”和多核处理器时代,我们应该将多线程进程视为一种服务解决方案。那么,我们如何通过使用独立工作的并行爬虫来提高爬虫性能呢?本文致力于研究并行履带设计的基本优势和挑战[4]。本文主要研究了各种并行爬行过程中URL的分布问题。如何将URL从URL边界分配给并发执行爬行进程的各个线程是一个正交问题。本文通过设计一个框架来解决这个问题,该框架通过对每个分布式URL集中的URL进行排序,将URL边界划分为多个URL队列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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