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CPCDN: Content Delivery Powered by Context and User Intelligence
BibTeX
@MISC{Wang_cpcdn:content,
author = {Zhi Wang and Wenwu Zhu and Minghua Chen and Lifeng Sun and Shiqiang Yang and Senior Member},
title = {CPCDN: Content Delivery Powered by Context and User Intelligence},
year = {}
}
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Abstract
Abstract—There is an unprecedented trend that content providers (CPs) are building their own content delivery networks (CDNs) to provide a variety of content services to their users. By exploiting powerful CP-level information in content distribution, these CP-built CDNs open up a whole new design space and are changing the content delivery landscape. In this paper, we adopt a measurement-based approach to understanding why, how, and how much CP-level intelligences can help content delivery. We first present a measurement study of the CDN built by Tencent, a largest content provider based in China. We observe new characteristics and trends in content delivery which pose great challenges to the conventional content delivery paradigm and motivate the proposal of CPCDN, a CDN powered by CP-aware information. We then reveal the benefits obtained by exploiting two indispensable CP-level intelligences, namely context intelligence and user intelligence, in content delivery. Inspired by the insights learnt from the measurement studies, we systematically explore the design space of CPCDN and present the novel architecture and algorithms to address the new content delivery challenges arisen. Our results not only demonstrate the potential of CPCDN in pushing content delivery performance to the next level, but also identify new research problems calling for further investigation. 1
Keyphrases
user intelligence content delivery powered content provider measurement study content delivery powerful cp-level information new characteristic content delivery landscape design space indispensable cp-level intelligence cp-built cdns content distribution conventional content delivery paradigm context intelligence new content delivery content delivery network unprecedented trend whole new design space new research problem content delivery performance measurement-based approach novel architecture content service cp-aware information much cp-level intelligence next level great challenge
