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“Effects of power conservation, wireless coverage and cooperation on data dissemination among mobile devices” 2001

“Effects of power conservation, wireless coverage and cooperation on data dissemination among mobile devices” 2001. Authors: Maria Papadopouli and Henning Schulzrinne Presented by: Taylor Perkins. About Me. Taylor Perkins 5 th Year Co-op Computer Science Major

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“Effects of power conservation, wireless coverage and cooperation on data dissemination among mobile devices” 2001

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  1. “Effects of power conservation, wireless coverage and cooperation on data dissemination among mobile devices”2001 Authors: Maria Papadopouli and Henning Schulzrinne Presented by: Taylor Perkins

  2. About Me • Taylor Perkins • 5th Year Co-op Computer Science Major • Specializations: UI & Databases • From Roswell, GA • Interests: • Anything new and interesting • More high-level, less low-level

  3. Problem • Increase in non-voice data • News, traffic, weather, sports, etc. • Sparse coverage or high cost • Requires connectivity to the Internet • Lots of Power Usage • How to increase data access, but not increase power usage?

  4. Solution • Share data between roaming users • Motivation: • High spatial locality of info • Different information providers • Not necessarily cooperating with each other • Imagine: A Train or Airport • High spatial locality: News, sports, schedules • Popular info: Music & Video games

  5. 7DS – P2P sharing system • “7DS is an architecture, a set of protocols, and an implementation enabling the exchange of data among peers that are not necessarily connected to the Internet.” • Application • Mobile & Stationary Devices • Anticipate information needs, searches among peers for this information.

  6. How it Works • Two modes • Prefetch • Anticipate information needs • On-demand • Search among peers after fetch from Internet fails • Two interaction types • Peer-to-peer (P-P) – 7DS’s main focus • Data sharing • Message forwarding • Caching popular information • Server-Client (S-C) – Servers also connected to other servers • Data sharing • Message forwarding • Caching popular information

  7. More Details • Device forms queries based on URL of request • Also predicts future URLs • Multicasts these queries to other devices • Host can select subset of requests to listen to (Saves power) • 7DS-enabled servers can broadcast that they have data (advertisement) • 7DS organizes and manages device cache • User can view, browse and manage cache through GUI

  8. How it Saves Power • Trades power for data only when battery is above threshold. • Reduce energy consumption • Idle periods • Low expectation of data • Battery life below threshold • Periodically turn off network interface • Reduce collaboration (Thresholds): • Above 75% Battery: Active querying • 50%-75%: Passive querying (only responds) • Below 50%: Stops participation in 7DS

  9. Some Results Experiment Setup: 1km x 1km test space. One node has data, which all other nodes are interested in getting.

  10. Some More Results

  11. And More Results

  12. Criticism • 7 Years old • More power, more bandwidth • Requires other 7DS users • Software install • Cooperation • Hard to Perform Experiments • Requires simulation

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