NDLI: Streaming content from a vehicular cloud

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Streaming content from a vehicular cloud

Content Provider	ACM Digital Library
Author	Barakat, Chadi Spyropoulos, Thrasyvoulos Vigneri, Luigi
Abstract	Network densification via small cells is considered as a key step to cope with the data tsunami. Caching data at small cells or even user devices is also considered as a promising way to alleviate the backhaul congestion this densification might cause. However, the former suffers from high deployment and maintenance costs, and the latter from limited resources and privacy issues with user devices. We argue that an architecture with (public or private) vehicles acting as mobile caches and communication relays might be a promising middle ground. In this paper, we assume such a vehicular cloud is in place to provide video streaming to users, and that the operator can decide which content to store in the vehicle caches. Users can then greedily fill their playout buffer with video pieces of the streamed content from encountered vehicles, and turn to the infrastructure immediately when the playout buffer is empty, to ensure uninterrupted streaming. Our main contribution is to model the playout buffer in the user device with a queuing approach, and to provide a mathematical formulation for the idle periods of this buffer, which relate to the bytes downloaded from the cellular infrastructure. We also solve the resulting content allocation problem, and perform trace-based simulations to finally show that up to 50% of the original traffic could be offloaded from the main infrastructure.
Starting Page	39
Ending Page	44
Page Count	6
File Format	PDF EPUB
ISBN	9781450342568
DOI	10.1145/2979683.2979684
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-03
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Opportunistic networks Mobile data offloading Caching Vehicular networks Optimization Multimedia streaming
Content Type	Text
Resource Type	Article

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