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Contracting Models for P2P Content Distribution

In recent years, peer‐to‐peer (P2P) networks have become an increasingly popular method for distributing digital content. In this study, we consider the development of optimal contracts for a P2P network by a profit‐seeking provider to support the operations of an online file exchange service. By ut...

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Published in:Production and operations management 2018-11, Vol.27 (11), p.1940-1959
Main Authors: Ghasemkhani, Hossein, Li, Yung‐Ming, Moinzadeh, Kamran, Tan, Yong
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Language:English
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container_end_page 1959
container_issue 11
container_start_page 1940
container_title Production and operations management
container_volume 27
creator Ghasemkhani, Hossein
Li, Yung‐Ming
Moinzadeh, Kamran
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description In recent years, peer‐to‐peer (P2P) networks have become an increasingly popular method for distributing digital content. In this study, we consider the development of optimal contracts for a P2P network by a profit‐seeking provider to support the operations of an online file exchange service. By utilizing the principal‐agent model of incentive theory, we propose appropriate reward and pricing schemes for profit‐seeking P2P content distribution networks. We show that when peers are homogeneous, upload compensation increases with propagation delay uncertainty, maximum uploading nodes allowed, peers' provision cost and disutility of download delay, but decreases with the network size and content availability. We also characterize a general contracting model where there are a countable number of peer classes which are heterogeneous in their provisioning costs. For the case of two peer classes where optimal delays are separable, we derive the optimal upload compensations under different scenarios and show that the impact of operational parameters is quite similar to the case of homogeneous peers, lending support to the robustness of our analysis.
doi_str_mv 10.1111/poms.12718
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subjects content distribution
moral hazard
P2P networks
Peers
principal‐agent model
title Contracting Models for P2P Content Distribution
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