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Improving Web Performance in Home Broadband Access Networks

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Abstract

Web caching is a significantly important strategy for improving Web performance. In this paper, we design SmartCache, a router-based system of Web page load time reduction in home broadband access networks, which is composed of cache, SVM trainer and classifier, and browser extension. More specifically, the browser interacts with users to collect their experience satisfaction and prepare training dataset for SVM trainer. With the desired features extracted from training dataset, the SVM classifier predicts the classes of the Web objects. Then, integrated with LFU, the cache makes a cache replacement based on SVM-LFU policy. Finally, by implementing SmartCache on a Netgear router and Chrome browsers, we evaluate our SVM-LFU algorithm in terms of Web page load time, SVM accuracy, and cache performance, and the experimental results illustrate that SmartCache can greatly improve Web performance in Web page load time.

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Acknowledgments

The work is supported in part by the National Natural Science Foundation of China (Grant nos. 61402380 and 61528206), the Natural Science Foundation of CQ CSTC (Grant no. cstc2015jcyjA40044), U.S. National Science Foundation (Grant nos. CNS-1253506 (CAREER) and CNS-1250180), the Fundamental Research Funds for the Central Universities (Grant no. XDJK2015B030), and the Opening Project of State Key Laboratory for Novel Software Technology (Grant no. KFKT2016B13).

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Authors and Affiliations

  1. College of Computer and Information Sciences, Southwest University, Chongqing, 400715, China

    Yantao Li

  2. Department of Computer Science, College of William and Mary, Williamsburg, VA, 23185, USA

    Yantao Li, Gang Zhou & Bin Nie

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  1. Yantao Li
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  2. Gang Zhou
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  3. Bin Nie
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Correspondence to Yantao Li.

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Li, Y., Zhou, G. & Nie, B. Improving Web Performance in Home Broadband Access Networks. Wireless Pers Commun 92, 925–940 (2017). https://doi.org/10.1007/s11277-016-3585-1

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