Popularity-driven Caching Strategy for Dynamic Adaptive Streaming over Information-Centric Networks
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Authors
Li, Wenjie
Date
2015-07-20
Type
thesis
Language
eng
Keyword
in-network caching , Optimization , Content-centric network , Queueing analysis , Binary integer programming , Dynamic adaptive streaming
Alternative Title
Abstract
The growing demand for video streaming is straining the current Internet, and mandating a novel approach to future Internet paradigms. The advent of Information-Centric Networks (ICN) promises a novel architecture for addressing this exponential growth in data-intensive services, of which video streaming is projected to dominate (in traffic size). In this thesis, I present a novel strategy in ICN for adaptive caching of variable video contents tailored to different sizes and bit rates. My objective is to achieve optimal video caching to reduce access time for the maximal requested bit rate for every user. At its core, my approach capitalizes on a rigorous delay analysis and potentiates maximal serviceability for each user. I incorporate predictors for requested video objects based on a popularity index (Zipf distribution). In my proposed model, named DASCache, I present queuing analysis for Round-Trip Time (RTT) of cached objects, providing a cap on expected delay in accessing video content. In DASCache, I present a Binary Integer Programming (BIP) formulation for the cache assignment problem, which operates in rounds based on changes in content requests and popularity scores. DASCache reacts to changes in network dynamics that impact bit rate choices by heterogeneous users and enables users to stream videos, maximizing Quality of Experience (QoE). To evaluate the performance of DASCache, in contrast to current benchmarks in video caching, I present an elaborate performance evaluation carried out on ndnSIM, over NS-3.
Description
Thesis (Master, Computing) -- Queen's University, 2015-07-14 10:59:01.719
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Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada
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Copying and Preserving Your Thesis
Creative Commons - Attribution - CC BY
This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.
ProQuest PhD and Master's Theses International Dissemination Agreement
Intellectual Property Guidelines at Queen's University
Copying and Preserving Your Thesis
Creative Commons - Attribution - CC BY
This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.