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Large Scale Data Analytics of User Behavior for Improving Content Delivery

Author(s):

Amanpreet Kaur , Shaheed Udham Singh College of Engineering and Technology, Tangori, Punjab(India); Sukhpreet Kaur, Shaheed Udham Singh College of Engineering and Technology, Tangori, Punjab(India)

Keywords:

Data Analytics, Machine Learning, User Behavior, User Experience, Content Delivery, Peer-To-Peer, Video Streaming, Web Browsing

Abstract

The Internet is fast becoming the de facto content delivery network of the world, supplanting TV and physical media as the primary method of distributing larger files to ever-increasing numbers of users at the fastest possible speeds. Recent trends have, however, posed challenges to various players in the Internet content delivery ecosystem. These trends include exponentially increasing traffic volume, increasing user expectation for quality of content delivery, and the ubiquity and rise of mobile traffic. For example, exponentially increasing traffic—primarily caused by the popularity of Internet video—is stressing the existing Content Delivery Network (CDN) infrastructures. Similarly, content providers want to improve user experience to match the increasing user expectation in order to retain users and sustain their advertisement based and subscription-based revenue models. Finally, although mobile traffic is increasing, cellular networks are not as well designed as their wireline counterparts, causing poorer quality of experience for mobile users. These challenges are faced by content providers, CDNs and network operators everywhere and they seek to design and manage their networks better to improve content delivery and provide better quality of experience.

Other Details

Paper ID: IJSRDV7I90273
Published in: Volume : 7, Issue : 9
Publication Date: 01/12/2019
Page(s): 218-223

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