Paper Info
Title
A dynamic bandwidth pricing mechanism based on trust management in P2P streaming systems
Abstract
Peer-to-peer (P2P) streaming systems rely on that peers voluntarily share their bandwidth to maintain high performance. Credit-based incentive mechanisms are widely used to encourage peers to share more bandwidth. However, in credit-based mechanisms, how to set a suitable bandwidth price is a critical issue. In this paper, we propose a new dynamic bandwidth pricing mechanism based on Stackelberg game and trust management. This mechanism can dynamically adjust the bandwidth price based on peers' trust values: the lower trust a peer has, the higher price the peer pays. A Stackelberg game is formulated to obtain peers' optimal bandwidth pricing and purchasing strategies. Through mathematical analysis, we derive the equilibrium of our proposed game and an algorithm to obtain equilibrium is also proposed. Extensive simulations show that our proposed mechanism can effectively induce peers to share more bandwidth, maintain system fairness and defend typical data pollution attack to guarantee the robustness of the system.
Year
DOI
Venue
2016
10.1109/PCCC.2016.7820623
2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC)
Keywords
Field
DocType
dynamic bandwidth pricing mechanism,trust management,P2P streaming systems,peer-to-peer streaming systems,credit-based incentive mechanisms,Stackelberg game,peer trust values,peer optimal bandwidth pricing,data pollution attack,system robustness
Incentive,Computer science,Peer to peer computing,Computer network,Robustness (computer science),Bandwidth (signal processing),Purchasing,Dynamic bandwidth allocation,Stackelberg competition
Conference
ISSN
ISBN
Citations 
1097-2641
978-1-5090-5253-0
0
PageRank 
References 
Authors
0.34
11
3
Name
Order
Citations
PageRank
Mingchu Li146978.10
Shiyu Wang25012.55
Kun Lu3154.00