Modeling resource constrained BitTorrent proxies for energy efficient mobile content sharing

Imre Kelényi, Jukka K. Nurminen, Ákos Ludányi, Tamás Lukovszki

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)

Abstract

In this paper we present a solution that makes BitTorrent content\ntransfer for mobile device more energy efficient. The main idea of the\nresearch is that instead of downloading the content via BitTorrent\ndirectly to the mobile phone, an intermediate proxy is used which sends\nthe data to the phone in high speed bursts. This results in smaller\nenergy footprint compared with regular BitTorrent data transfer.\nFurthermore, we focus on how the proxy can be hosted on memory limited\nbroadband routers which are available in almost every home. We define an\nanalytical model which can be used to analyze the memory allocation\nstrategies of the proxy peers and predict how proxy peers influence the\nP2P community performance. We verify our model via simulations. We also\npresent measurement results with real life torrents using our prototype\nsystem running on home routers and Symbian based mobile phones.
Original languageEnglish
Pages (from-to)163-177
Number of pages15
JournalPeer-to-Peer Networking and Applications
Volume5
Issue number2
DOIs
Publication statusPublished - Jun 2012
MoE publication typeA1 Journal article-refereed

Fingerprint

Mobile phones
Routers
Storage allocation (computer)
Data transfer
Mobile devices
Data storage equipment

Keywords

  • BitTorrent
  • Broadband router
  • Energy-efficiency
  • Mobile
  • Peer-to-peer
  • Proxy

Cite this

Kelényi, Imre ; Nurminen, Jukka K. ; Ludányi, Ákos ; Lukovszki, Tamás. / Modeling resource constrained BitTorrent proxies for energy efficient mobile content sharing. In: Peer-to-Peer Networking and Applications. 2012 ; Vol. 5, No. 2. pp. 163-177.
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title = "Modeling resource constrained BitTorrent proxies for energy efficient mobile content sharing",
abstract = "In this paper we present a solution that makes BitTorrent content\ntransfer for mobile device more energy efficient. The main idea of the\nresearch is that instead of downloading the content via BitTorrent\ndirectly to the mobile phone, an intermediate proxy is used which sends\nthe data to the phone in high speed bursts. This results in smaller\nenergy footprint compared with regular BitTorrent data transfer.\nFurthermore, we focus on how the proxy can be hosted on memory limited\nbroadband routers which are available in almost every home. We define an\nanalytical model which can be used to analyze the memory allocation\nstrategies of the proxy peers and predict how proxy peers influence the\nP2P community performance. We verify our model via simulations. We also\npresent measurement results with real life torrents using our prototype\nsystem running on home routers and Symbian based mobile phones.",
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Modeling resource constrained BitTorrent proxies for energy efficient mobile content sharing. / Kelényi, Imre; Nurminen, Jukka K.; Ludányi, Ákos; Lukovszki, Tamás.

In: Peer-to-Peer Networking and Applications, Vol. 5, No. 2, 06.2012, p. 163-177.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Modeling resource constrained BitTorrent proxies for energy efficient mobile content sharing

AU - Kelényi, Imre

AU - Nurminen, Jukka K.

AU - Ludányi, Ákos

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AB - In this paper we present a solution that makes BitTorrent content\ntransfer for mobile device more energy efficient. The main idea of the\nresearch is that instead of downloading the content via BitTorrent\ndirectly to the mobile phone, an intermediate proxy is used which sends\nthe data to the phone in high speed bursts. This results in smaller\nenergy footprint compared with regular BitTorrent data transfer.\nFurthermore, we focus on how the proxy can be hosted on memory limited\nbroadband routers which are available in almost every home. We define an\nanalytical model which can be used to analyze the memory allocation\nstrategies of the proxy peers and predict how proxy peers influence the\nP2P community performance. We verify our model via simulations. We also\npresent measurement results with real life torrents using our prototype\nsystem running on home routers and Symbian based mobile phones.

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