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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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Journal ArticleDOI

Micro-location for Internet of Things equipped Smart Buildings

TL;DR: In this paper, the authors present an insight into various micro-location enabling technologies and services and discuss how these can accelerate the incorporation of Internet of Things (IoT) in smart buildings.
Journal ArticleDOI

Microlocation for Internet-of-Things-Equipped Smart Buildings

TL;DR: It is argued that micro-location-based location aware solutions can play a significant role in facilitating the tenants of an IoT-equipped smart building and will enable the smart building control system through minimal actions performed by the tenants.
Proceedings ArticleDOI

Mobile offloading in the wild: Findings and lessons learned through a real-life experiment with a new cloud-aware system

TL;DR: CDroid makes mobile cloud offloading more practical enabling offloading of lightweight jobs and communication intensive apps.
Proceedings ArticleDOI

Measurement and Analysis of Mobile Web Cache Performance

TL;DR: This paper builds a new cache analysis model and study the upper bound of how high percentage of resources could potentially be cached and how effective the caching works in practice, and identifies two major problems -- Redundant Transfer and Miscached Resource, which lead to unsatisfactory cache performance.
Proceedings ArticleDOI

CacheKeeper: a system-wide web caching service for smartphones

TL;DR: Evaluation on 10 top ranked Android apps shows that the CacheKeeper prototype can save 42% networks traffic with real user browsing behaviors and increase web accessing speed by 2x under real 3G settings, and experiments show that the prototype incurs negligible overhead on cache misses.
References
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Journal ArticleDOI

Network-aware partial caching for Internet streaming media

TL;DR: A novel cache architecture and associated cache management algorithms that turn edge caches into accelerators of streaming media delivery are presented, which allows partial caching of media objects and joint delivery from caches and origin servers.
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