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HyCloud: A system for device-to-device content
distribution controlled by the cloud
Jiri Danihelka
Co-authors: Dr. Domenico Giustiniano, Dr. Theus Hossmann
ETH Zurich, Communication Systems Group
ETH Zurich, Communication Systems Group 1
Motivation – based on Cisco forecast study
 3G cellular networks are going to be overloaded
 mobile data traffic: 78% annual growth rate (up to 2016)
 mobile connection speed: 56% annual growth (up to 2016)
 53% of mobile data is video
 We are looking for new ways how save bandwidth
 Mobile devices can share downloaded video
 Offloading cellular traffic through opportunistic
communications is a promising solution
 WiFi + Bluetooth
 Delay tolerance allows applications to trade-off completion
time for 3G usage.
2ETH Zurich, Communication Systems Group
Use cases for video sharing
 Video content
 live streaming of sport or cultural events
 watching televisions channels
 education video in class
 Non-video content
 audio content
 RSS feeds, tweets, other news
 application updates
3ETH Zurich, Communication Systems Group
What is it about
 saving cellular data
4ETH Zurich, Communication Systems Group
Detailed architecture
 mobile and cloud part
 mobile devices subscribe
to channels
 recording service prepare
content in form of chunks
 dissemination service
controls distribution
5ETH Zurich, Communication Systems Group
Distribution phases
6ETH Zurich, Communication Systems Group
Video dissemination strategy
10ETH Zurich, Communication Systems Group
playing buffered partially buffered not buffered
Automated testing
 measuring dissemination for up to 16 devices
 considering 3 dissemination strategies
 utilization of cloud can improve efficiency
14ETH Zurich, Communication Systems Group
Practical experiment - setup
 Parameters
 16 volunteers at the university
 measured during a work day
 WiFi downloads + Bluetooth dissemination
 Instructions
 Take a mobile phone
 Run the application HyCloud Experiment
 Leave the application in foreground
 Keep the phone with you wherever you go
15ETH Zurich, Communication Systems Group
Practical experiment - results
 24% bandwidth saved
 38% at peak
 graphs for individual
phones
16ETH Zurich, Communication Systems Group
Conclusion
 opportunistic video offloading can save significant amount
of data traffic for popular content
 up to 40% for live video
 even more for less time-sensitive content
 problems
 cannot be applied on all types of data downloads
 need better phone OS integration
 standardization and cross-platform usages
17ETH Zurich, Communication Systems Group
Thank you for your attention
Questions?
18ETH Zurich, Communication Systems Group

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HyCloud: A system for device-to-device content distribution controlled by the cloud

  • 1. HyCloud: A system for device-to-device content distribution controlled by the cloud Jiri Danihelka Co-authors: Dr. Domenico Giustiniano, Dr. Theus Hossmann ETH Zurich, Communication Systems Group ETH Zurich, Communication Systems Group 1
  • 2. Motivation – based on Cisco forecast study  3G cellular networks are going to be overloaded  mobile data traffic: 78% annual growth rate (up to 2016)  mobile connection speed: 56% annual growth (up to 2016)  53% of mobile data is video  We are looking for new ways how save bandwidth  Mobile devices can share downloaded video  Offloading cellular traffic through opportunistic communications is a promising solution  WiFi + Bluetooth  Delay tolerance allows applications to trade-off completion time for 3G usage. 2ETH Zurich, Communication Systems Group
  • 3. Use cases for video sharing  Video content  live streaming of sport or cultural events  watching televisions channels  education video in class  Non-video content  audio content  RSS feeds, tweets, other news  application updates 3ETH Zurich, Communication Systems Group
  • 4. What is it about  saving cellular data 4ETH Zurich, Communication Systems Group
  • 5. Detailed architecture  mobile and cloud part  mobile devices subscribe to channels  recording service prepare content in form of chunks  dissemination service controls distribution 5ETH Zurich, Communication Systems Group
  • 6. Distribution phases 6ETH Zurich, Communication Systems Group
  • 7. Video dissemination strategy 10ETH Zurich, Communication Systems Group playing buffered partially buffered not buffered
  • 8. Automated testing  measuring dissemination for up to 16 devices  considering 3 dissemination strategies  utilization of cloud can improve efficiency 14ETH Zurich, Communication Systems Group
  • 9. Practical experiment - setup  Parameters  16 volunteers at the university  measured during a work day  WiFi downloads + Bluetooth dissemination  Instructions  Take a mobile phone  Run the application HyCloud Experiment  Leave the application in foreground  Keep the phone with you wherever you go 15ETH Zurich, Communication Systems Group
  • 10. Practical experiment - results  24% bandwidth saved  38% at peak  graphs for individual phones 16ETH Zurich, Communication Systems Group
  • 11. Conclusion  opportunistic video offloading can save significant amount of data traffic for popular content  up to 40% for live video  even more for less time-sensitive content  problems  cannot be applied on all types of data downloads  need better phone OS integration  standardization and cross-platform usages 17ETH Zurich, Communication Systems Group
  • 12. Thank you for your attention Questions? 18ETH Zurich, Communication Systems Group