Cognitive streaming on android devices

Maria Torres Vega, Decebal Constantin Mocanu, Rosario Barresi, Giancarlo Fortino, Antonio Liotta

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (Scopus)

Abstract

As the number of mobile devices increases, so do the complexity of wireless networks and the user's requirements. This tendency makes necessary for Multimedia Services to take the needed actions to adapt to the upcoming technology. A prominent example of this type of services is HTTP Adaptive Video Streaming Applications. In this research, we have studied how the latest HTTP Adaptive Streaming techniques, mainly developed for standard computers, could be adapted and used in mobile wireless devices. Furthermore, inspired by these solutions, which usually make use of Reinforcement Learning (RL) algorithms to find the suitable streaming rate, we have conceived a novel smart video player client in Java for Android platform using the Dynamic Adaptive Streaming over HTTP (DASH) protocol. We have assessed the performance of our proposed solution in a self-developed wireless test-bed under different network conditions. Thus, we have seen that by including in the reward function contributions regarding the download speed of the video segments, especially needed due to the fluctuating nature of the wireless networks, and the segments already buffered, improves drastically the overall performance of the video client. Besides that, we have discovered that, in a cognitive adaptive approach, bandwidth constraints affect the user's experience more substantially, while impairments such as packet loss can be prevented.

Original languageEnglish
Title of host publicationProceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management, IM 2015
EditorsFilip De Turck, Remi Badonnel, Carlos Raniery P. dos Santos, Jin Xiao, Shingo Ata, Voicu Groza
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1316-1321
Number of pages6
ISBN (Electronic)978-1-4799-8241-7
ISBN (Print)978-3-9018-8276-0
DOIs
Publication statusPublished - 29 Jun 2015
Externally publishedYes
Event14th IFIP/IEEE International Symposium on Integrated Network Management, IM 2015: Integrated Management in the Age of Big Data - Shaw Centre, Ottawa, Canada
Duration: 11 May 201515 May 2015
Conference number: 14
http://im2015.ieee-im.org/

Publication series

NameProceedings IFIP/IEEE International Symposium on Integrated Network Management (IM)
PublisherIEEE
Volume2015
ISSN (Print)1573-0077

Conference

Conference14th IFIP/IEEE International Symposium on Integrated Network Management, IM 2015
Abbreviated titleIM 2015
CountryCanada
CityOttawa
Period11/05/1515/05/15
Internet address

Keywords

  • Adaptive Streaming
  • Android Applications
  • Reinforcement Learning
  • Wireless Networks

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