Abstract | ||
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In this paper we focus on mobile data offloading and propose a solution for the placement of offloading infrastructures that optimizes the trade-off between reducing deployed resources and increasing traffic breakout. We base our analysis on a real dataset of Internet accesses generated, in the city of Milano, by some 50, 000 users of an important mobile network operator. The target application we consider is the distribution of digital contents (such as MP3 songs, videos and newspapers) over an urban area. The paper's contributions is showing that offloading of digital contents can be achieved by leveraging people's regular mobility patterns. |
Year | DOI | Venue |
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2013 | 10.1109/MDM.2013.39 | MDM |
Keywords | Field | DocType |
Internet,Long Term Evolution,content management,resource allocation,telecommunication traffic,Internet access,LTE-based urban networks,Milano city,digital content distribution,mobile data offloading infrastructures,mobile network operator,people regular mobility patterns,proactive caching,resource deployment reduction,selective offload,traffic breakout,LTE Advanced,Mobile data offload,proactive content caching,real data analysis | Mobile computing,Mobile network operator,Mobile search,Computer science,Computer network,Mobile data offloading,Small cell,Mobile broadband,Mobile telephony,LTE Advanced,Distributed computing | Conference |
Volume | Citations | PageRank |
1 | 2 | 0.41 |
References | Authors | |
5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sabrina Gaito | 1 | 209 | 29.64 |
Dario Maggiorini | 2 | 290 | 42.50 |
Christian Quadri | 3 | 27 | 7.96 |
Gian Paolo Rossi | 4 | 390 | 78.09 |