Mathematical
Modeling of Incentive Policies in P2P Networks
By

Prof.
John Lui

Chairman
/ Professor, Department of Computer Science
& Engineering, CUHK







Date:
July 7, 2009 (Tuesday) 
Time:
3:00p.m.  5:00 p.m. 
Venue:
Rm. 121, Ho Sin Hang Engineering Building, CUHK 
Abstract
:
In order to stimulate cooperation among nodes in P2P
systems, some form of incentive mechanism is necessary
so as to encourage service contribution. Hence, designing
and evaluating the stability, robustness and performance
of incentive policies is extremely critical. In this
presentation, we propose a general mathematical framework
to evaluate the stability and evolution of a family
of shared history based incentive policies. To illustrate
the utility of the framework, we present several incentive
policies and show why some incentive policy can lead
to a total system collapse while the other is stable
and operates at the optimal point. One can use this
mathematical framework to design and analyze various
incentive policies and verify whether they match the
design objectives of the underlying P2P systems.
