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| Content Provider | Springer Nature Link |
|---|---|
| Author | Li, Yantao Zhou, Gang Nie, Bin |
| Copyright Year | 2016 |
| 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. |
| Starting Page | 925 |
| Ending Page | 940 |
| Page Count | 16 |
| File Format | |
| ISSN | 09296212 |
| Journal | Wireless Personal Communications |
| Volume Number | 92 |
| Issue Number | 3 |
| e-ISSN | 1572834X |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2016-08-10 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Web caching Support vector machine Least-Frequently-Used Cache replacement Home broadband networks Communications Engineering, Networks Signal,Image and Speech Processing Computer Communication Networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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