真实环境下的Web预取性能评估

B. D. L. Ossa, J. A. Gil, J. Sahuquillo, A. Pont
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引用次数: 9

摘要

Web预取是一种旨在减少用户感知延迟的技术,在导航空闲时间,在用户请求之前下载Web对象。尽管在关于这个主题的文献中可以找到不同的研究工作,但很少有实际环境的实现。我们提出了一个真正的框架,在标准HTTP 1.1协议下工作的当前web客户端和服务器软件上提供web预取。该框架还提供了详细的统计数据,非常方便进行绩效评估研究。在本文中,我们评估和比较了不同的预测算法在实际条件下的性能,显示了我们的建议对这种环境的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web prefetch performance evaluation in a real environment
Web prefetch is a technique aimed at reducing the user's perceived latency by downloading, during the navigation idle times, the web objects before the user asks for them. Despite different research efforts can be found in the literature about this subject there are few implementations for real environments. We proposed a real framework that provides web prefetching on current web client and server software working under the standard HTTP 1.1 protocol. This framework also provides detailed statistics which are very convenient for performance evaluation studies. In this paper we evaluate and compare the performance of different prediction algorithms in real conditions showing the usefulness of our proposal for this kind of environments.
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