On the impact of bounded rationality in peer-to-peer networks

Hyunggon Park; Mihaela van der Schaar

doi:10.1109/LSP.2009.2022146

On the impact of bounded rationality in peer-to-peer networks

Hyunggon Park, Mihaela van der Schaar

Electronic and Electrical Engineering

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

In this letter, we consider peer-to-peer (P2P) networks, where multiple peers are interested in sharing their content. In the considered P2P system, autonomous and self-interested peers use a Markov Decision Process (MDP) framework to determine their upload bandwidth allocations, which maximize their individual utilities. This framework enables the peers to make foresighted decisions on their bandwidth allocations, by considering the future impact of their decisions. In this letter, we focus on the impact of the peers' bounded rationality on their resource reciprocation strategies and ultimately, on their achievable utilities. Specifically, we consider peers who have only a limited ability to model the other peers' strategies for resource reciprocation, and study how this impacts their own decisions.

Original language	English
Pages (from-to)	675-678
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	16
Issue number	8
DOIs	https://doi.org/10.1109/LSP.2009.2022146
State	Published - 2009

Bibliographical note

Funding Information:
Manuscript received January 30, 2009; revised April 08, 2009. First published May 02, 2009; current version published June 05, 2009. This work was supported by the NSF Career and NSF CCF 0830556. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. James E. Fowler.

Keywords

Accuracy
Bandwidth
Bounded rationality
Data mining
IEEE
Peer to peer computing
Peer-to-peer (P2P) networks
Probability density function
Resource reciprocation
Silicon

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10.1109/LSP.2009.2022146

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title = "On the impact of bounded rationality in peer-to-peer networks",

abstract = "In this letter, we consider peer-to-peer (P2P) networks, where multiple peers are interested in sharing their content. In the considered P2P system, autonomous and self-interested peers use a Markov Decision Process (MDP) framework to determine their upload bandwidth allocations, which maximize their individual utilities. This framework enables the peers to make foresighted decisions on their bandwidth allocations, by considering the future impact of their decisions. In this letter, we focus on the impact of the peers' bounded rationality on their resource reciprocation strategies and ultimately, on their achievable utilities. Specifically, we consider peers who have only a limited ability to model the other peers' strategies for resource reciprocation, and study how this impacts their own decisions.",

keywords = "Accuracy, Bandwidth, Bounded rationality, Data mining, IEEE, Peer to peer computing, Peer-to-peer (P2P) networks, Probability density function, Resource reciprocation, Silicon",

author = "Hyunggon Park and {van der Schaar}, Mihaela",

note = "Funding Information: Manuscript received January 30, 2009; revised April 08, 2009. First published May 02, 2009; current version published June 05, 2009. This work was supported by the NSF Career and NSF CCF 0830556. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. James E. Fowler.",

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On the impact of bounded rationality in peer-to-peer networks

Abstract

Bibliographical note

Keywords

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