Mathematical modeling of incentive policies in P2P systems.

Zhao, Qiao.Thesis (M.Phil.)--Chinese University of Hong Kong, 2009.Includes bibliographical references (leaves 35-36).Abstracts also in Chinese.Abstract --- p.iAcknowledgement --- p.vChapter 1 --- Introduction --- p.1Chapter 2 --- Model Description --- p.3Chapter 2.1 --- An Incentive Model for P2P Networks --- p.3Chapter 2.2 --- Learning Models for P2P Networks --- p.5Chapter 2.2.1 --- Current-best Learning Model (CBLM) --- p.5Chapter 2.2.2 --- Opportunistic Learning Model (OLM) --- p.6Chapter 2.3 --- Incentive Policies for P2P Networks --- p.7Chapter 2.3.1 --- Mirror Incentive Policy Vmirror --- p.8Chapter 2.3.2 --- Proportional Incentive Policy Vprop --- p.9Chapter 2.3.3 --- Linear Incentive Policy Class CLIP --- p.9Chapter 2.4 --- Performance and Robustness of Incentive Policies --- p.10Chapter 2.4.1 --- Robustness Analysis of Mirror Incentive Policy using the current-best learning method --- p.10Chapter 2.4.2 --- Robustness Analysis of Mirror Incentive Policy using the opportunistic learning method --- p.12Chapter 2.4.3 --- Robustness Analysis of Proportional Incentive Policy Using the current-best learning method --- p.12Chapter 2.4.4 --- Robustness Analysis of Proportional Incentive Policy Using the opportunistic learning method --- p.13Chapter 2.4.5 --- Robustness Analysis for Incentive Protocol in the Linear Incentive Class --- p.14Chapter 2.5 --- Connection with Evolutionary Game Theory --- p.17Chapter 3 --- Performance Evaluation --- p.21Chapter 3.1 --- Performance and Robustness of the Mirror Incentive Policy (Pmirror): --- p.21Chapter 3.2 --- Performance and Robustness of the Proportional Incentive Policy {Pprop): --- p.23Chapter 3.3 --- Performance and Robustness of incentive policy in the Linear Incentive Class (CLIP)： --- p.24Chapter 3.4 --- The Effect of Non-adaptive Peers: --- p.25Chapter 4 --- Adversary Effect of Altruism --- p.29Chapter 4.1 --- The Effect of Protocol Cost --- p.29Chapter 4.2 --- The Tradeoff between Altruism and System Robustness --- p.30Chapter 5 --- Related Work --- p.33Chapter 6 --- Conclusion --- p.34Bibliography --- p.3