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Proceedings ArticleDOI

Smartphones vs. laptops: comparing web browsing behavior and the implications for caching

TLDR
A novel Operating System (OS) fingerprinting methodology to distinguish different types of wireless devices (smartphone vs laptops) as well as operating system instances (iOS, Android, BlackBerry etc.).
Abstract
In this work we present the differences and similarities of the web browsing behavior in most common mobile platforms. We devise a novel Operating System (OS) fingerprinting methodology to distinguish different types of wireless devices (smartphone vs laptops) as well as operating system instances (iOS, Android, BlackBerry etc.). We showcase that most of the multimedia content in smartphone devices is delivered via Range-Requests, and a large portion of the video transfers are aborted. We also show that laptop devices have more intelligent browser caching capabilities. We investigate the impact of an additional browser cache, and demonstrate that a 10MB browser cache that is able to handle partial downloads in smartphones would be enough to handle the majority of the savings. Finally, we showcase that caching policies need to be amended to attain the maximum possible savings in proxy caches. Based on those optimizations the emulated proxy cache provides 10%-20% in bandwidth savings.

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Citations
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Design and optimization of mobile aggregation networks

TL;DR: A device identification technique that is based on data mining is introduced that can identify more than 97% of the devices and a hybrid system is proposed, that not only resolves these limitations, but may also provide extra savings.

Hardware accelerated redundancy elimination in network system

Kelu Diao
TL;DR: The results indicate that throughput can be increased by a factor of 9 times compared to a naive implementation of the data de-duplication algorithm, providing a net transmission increase of up to 3.0 Gigabits per second (Gbps).
References
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Proceedings Article

Fast algorithms for mining association rules

TL;DR: Two new algorithms for solving thii problem that are fundamentally different from the known algorithms are presented and empirical evaluation shows that these algorithms outperform theknown algorithms by factors ranging from three for small problems to more than an order of magnitude for large problems.
Proceedings ArticleDOI

Web caching and Zipf-like distributions: evidence and implications

TL;DR: This paper investigates the page request distribution seen by Web proxy caches using traces from a variety of sources and considers a simple model where the Web accesses are independent and the reference probability of the documents follows a Zipf-like distribution, suggesting that the various observed properties of hit-ratios and temporal locality are indeed inherent to Web accesse observed by proxies.
Proceedings ArticleDOI

Diversity in smartphone usage

TL;DR: A comprehensive study of smartphone use finds that qualitative similarities exist among users that facilitate the task of learning user behavior and demonstrates the value of adapting to user behavior in the context of a mechanism to predict future energy drain.
Proceedings ArticleDOI

Removal policies in network caches for World-Wide Web documents

TL;DR: Surprisingly, the criteria used by several proxy-server removal policies are among the worst performing criteria in the authors' simulation; instead, replacing documents based on size maximizes hit rate in each of the studied workloads.

HTTP Live Streaming

Roger Pantos, +1 more
TL;DR: This document describes a protocol for transferring unbounded streams of multimedia data that specifies the data format of the files and the actions to be taken by the server (sender) and the clients (receivers) of the streams.
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