Traffic Engineering of Peer-Assisted Content Delivery Network with Content-Oriented Incentive Mechanism
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概要
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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.
著者
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Shinkuma Ryoichi
Graduate School Of Informatics Kyoto University
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Takahashi Tatsuro
Graduate School Of Informatics Kyoto University
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Nishio Takayuki
Graduate School of Informatics, Kyoto University
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KAWAHARA Ryoichi
NTT Network Technology Laboratories, NTT Corporation
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MORI Tatsuya
NTT Network Technology Laboratories, NTT Corporation
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Kamiyama Noriaki
NTT Network Technology Laboratories
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KAWAHARA Ryoichi
NTT Network Technology Laboratories
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MAKI Naoya
Graduate School of Informatics, Kyoto University
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