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  1. Proceedings of the 4th workshop on All things cellular: operations, applications, & challenges (AllThingsCellular '14)
  2. Cacheability of YouTube videos in cellular networks
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Networking with massive MU-MIMO base stations
How green is multipath TCP for mobile devices?
SMORE: software-defined networking mobile offloading architecture
Building a cellular networking research program
Towards understanding TCP performance on LTE/EPC mobile networks
Increasing cellular capacity using ISM band side-channels: a first study
Dynamic tunnel switching for SDN-based cellular core networks
Performance of LTE in a high-velocity environment: a measurement study
SON conflict resolution using reinforcement learning with state aggregation
Applying NFV and SDN to LTE mobile core gateways, the functions placement problem
Cacheability of YouTube videos in cellular networks

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Cacheability of YouTube videos in cellular networks

Content Provider ACM Digital Library
Author Ben Abdesslem, Fehmi Lindgren, Anders
Abstract Video traffic now represents a growing proportion of the traffic on cellular networks, causing capacity problems for operators and increased delays for users. Studies have shown that deploying caches at the network level reduces the delay for the end-user and the overall traffic volume for the telecom operator. In this paper, we analyse a large nationwide dataset of real-life video requests sent by mobile users to a popular video streaming website. This analysis is the first to rely on such a large dataset, and sheds light on the optimal cacheability of video content with caches distributed in the cellular network, and how efficient some existing cache replacement algorithms are at reducing the number of requests sent to the video provider. We show that depending on the cache size and algorithm parameters, up to 20.33% of the requests can be served by a local cache.
Starting Page 53
Ending Page 58
Page Count 6
File Format PDF
ISBN 9781450329903
DOI 10.1145/2627585.2627588
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-08-22
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Cellular networks Caching Traffic characterisation
Content Type Text
Resource Type Article
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