A price-anticipating resource allocation mechanism for distributed shared clusters
Proceedings of the 6th ACM conference on Electronic commerce
Free Riding on Gnutella Revisited: The Bell Tolls?
IEEE Distributed Systems Online
Mathematical modeling of incentive policies in p2p systems
Proceedings of the 3rd international workshop on Economics of networked systems
A simple public-goods game based incentive mechanism for resource provision in P2P networks
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
P2P soft security: On evolutionary dynamics of P2P incentive mechanism
Computer Communications
Free-riding and whitewashing in peer-to-peer systems
IEEE Journal on Selected Areas in Communications
Incentives for large peer-to-peer systems
IEEE Journal on Selected Areas in Communications
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Recently, service differentiation based incentive mechanisms are proposed in dynamic networking environments like Peer-to-Peer (P2P), wireless Ad hoc networks, etc.: define small meaningful classes of services and assign participants to these classes according to their overall resource contribution. Basically, there exist two fundamental components: How to define different classes? And who can assign autonomous participants to these classes? We argue that those environments are intrinsically anonymous, dynamic and autonomous, which has the following implications: Users can change their identities with near zero cost (cheap pseudonyms); most interactions in autonomous networks should be onetime (that is, each peer has no idea about other peers' behavior history, except their current behaviors); and all behaviors and actions are all endogenous, voluntarily chosen and determined by independent and rational peers. Specifically, in the simplest case, service differentiation based incentive mechanisms could be provided with two ways: punish defect behavior (punishment-based scheme), or reward cooperative behavior (reward-based scheme). This paper preliminarily investigated the effectiveness of punishment-based and reward-based incentive mechanisms in anonymous, dynamic and autonomous environments. Our contributions are following: first, under the above networking environment, we found that the traditional service differentiation based incentive schemes could not work, irrespective of punishment-based and reward-based schemes; then, if peers can voluntarily join the system, and small entry fee is set for participation, we got that the performance of punishment-based scheme (first providing high-level service plus punishment) is always better than that of reward-based scheme (first providing low-level service plus reward).