• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Managing Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory,  Crossref, Electronic Journals Library.
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HOME > Archive > 2012 > Volume 3 Number 5 (Oct. 2012) >
IJIMT 2012 Vol.3(5): 534-539 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2012.V3.292

An Adaptive Data Replication Technique with Online Advertising for P2P VoD Services

Chien-Peng Ho and Chia-Ling Hsieh

Abstract— This study aims to construct an agent-driven advertising framework for allowing agent-peers to distribute ad-videos to their potential customers and robust online marketing communication channels for smooth functioning of the Video-on-Demand (VoD) systems in unstructured Peer-to-Peer (P2P) overlay networks. In particular, the framework does not rely on a centralized collection server, but depends more on agent-peers that better meet customer needs and can transform a server load into scalable bandwidths with availability and high system reliability. However, in large-scale networks, it is important to reduce the load imposed on the server resources. This paper examines the problem of characterizing and assessing the local impact of the load imposed on the peer-level underlay networks by analyzing the kurtosis properties of packet inter-arrival time distribution on a P2P network. In addition, we analyzed the observed global impact of the load imposed for film-data replication to eliminate potential network bottlenecks using an extended density-based clustering (DENCLUE) algorithm of P2P overlay traffic on the agent-level underlay. The results indicate appropriate replication effective in system performance. It also points to the enormous potential of agent-level advertising in enhancing predetermined marketing objectives.

Index Terms— Overlay Networks, Peer-to-Peer Systems, Video-on-Demand, Multimedia Communications, Internet Advertising.

Chien-Peng Ho is with the Industrial Technology Research Institute of Taiwan, (e-mail: cpho@ itri.org.tw). Chia-Ling Hsieh is with the Graduate Institute of Teaching Chinese as a Second Language, National Taiwan Normal University, Taiwan. (e-mail: clhsieh@ntnu.edu.tw).

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Cite: Chien-Peng Ho, Senior Member, IACSIT, and Chia-Ling Hsieh, " An Adaptive Data Replication Technique with Online Advertising for P2P VoD Services," International Journal of Innovation, Management and Technology vol. 3, no. 5, pp. 534-539 , 2012.

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