Delfos:预测未来web用户访问的Oracle

B. D. L. Ossa, J. A. Gil, J. Sahuquillo, A. Pont
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引用次数: 14

摘要

尽管针对Web预测和预取技术进行了广泛而深入的研究,旨在减少用户感知到的延迟,但很少有人尝试在实际环境中实现和使用它们,主要是因为它们的复杂性和几年前低用户可用带宽所施加的假定限制。然而,当前的用户带宽为预取打开了一个新的场景,它再次成为提高web性能的一个有趣的选择。本文介绍了Delfos,一个在真实环境中执行网络预测和预取的框架,试图覆盖研究与实践之间的现有差距。Delfos在不修改标准HTTP 1.1协议的情况下集成在web架构中,并在web服务器端插入预测,而预取由客户端执行。此外,它还可以作为一个灵活的框架来评估和比较现有的预取技术和算法,并协助设计新的预取技术和算法,因为它提供了详细的统计报告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Delfos: the Oracle to Predict NextWeb User's Accesses
Despite the wide and intensive research efforts focused on Web prediction and prefetching techniques aimed to reduce user's perceived latency, few attempts to implement and use them in real environments have been done, mainly due to their complexity and supposed limitations that low user available bandwidths imposed few years ago. Nevertheless, current user bandwidths open a new scenario for prefetching that becomes again an interesting option to improve web performance. This paper presents Delfos, a framework to perform web predictions and prefetching on a real environment that tries to cover the existing gap between research and praxis. Delfos is integrated in the web architecture without modifying the standard HTTP 1.1 protocol, and acts inserting predictions in the web server side, while prefetchs are carried out by the client. In addition, it can be also used as a flexible framework to evaluate and compare existing prefetching techniques and algorithms and to assist in the design of new ones because it provides detailed statistics reports.
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