Traffic engineering of peer-assisted content delivery network with content-oriented incentive mechanism

Naoya Maki, Takayuki Nishio, Ryoichi Shinkuma, Tatsuya Mori, Noriaki Kamiyama, Ryoichi Kawahara, Tatsuro Takahashi

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In content services where people purchase and download large-volume contents, minimizing network traffic is crucial for the service provider and the network operator since they want to lower the cost charged for bandwidth and the cost for network infrastructure, respectively. Traffic localization is an effective way of reducing network traffic. Network traffic is localized when a client can obtain the requested content files from other a near-by altruistic client instead of the source servers. The concept of the peer-assisted content distribution network (CDN) can reduce the overall traffic with this mechanism and enable service providers to minimize traffic without deploying or borrowing distributed storage. To localize traffic effectively, content files that are likely to be requested by many clients should be cached locally. This paper presents a novel traffic engineering scheme for peer-assisted CDN models. Its key idea is to control the behavior of clients by using content-oriented incentive mechanism. This approach enables us to optimize traffic flows by letting altruistic clients download content files that are most likely contributed to localizing traffic among clients. In order to let altruistic clients request the desired files, we combine content files while keeping the price equal to the one for a single content. This paper presents a solution for optimizing the selection of content files to be combined so that cross traffic in a network is minimized. We also give a model for analyzing the upper-bound performance and the numerical results.

Original languageEnglish
Pages (from-to)2860-2869
Number of pages10
JournalIEICE Transactions on Information and Systems
VolumeE95-D
Issue number12
DOIs
Publication statusPublished - 2012 Dec
Externally publishedYes

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Electric power distribution
Costs
Servers
Bandwidth

Keywords

  • Combining contents
  • Content delivery network
  • Contents combinations
  • Peer-assisted network
  • Traffic localization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Software
  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition

Cite this

Traffic engineering of peer-assisted content delivery network with content-oriented incentive mechanism. / Maki, Naoya; Nishio, Takayuki; Shinkuma, Ryoichi; Mori, Tatsuya; Kamiyama, Noriaki; Kawahara, Ryoichi; Takahashi, Tatsuro.

In: IEICE Transactions on Information and Systems, Vol. E95-D, No. 12, 12.2012, p. 2860-2869.

Research output: Contribution to journalArticle

Maki, Naoya ; Nishio, Takayuki ; Shinkuma, Ryoichi ; Mori, Tatsuya ; Kamiyama, Noriaki ; Kawahara, Ryoichi ; Takahashi, Tatsuro. / Traffic engineering of peer-assisted content delivery network with content-oriented incentive mechanism. In: IEICE Transactions on Information and Systems. 2012 ; Vol. E95-D, No. 12. pp. 2860-2869.
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