PRISE - Pricing of Distributed Information Services
Pricing of Distributed Information Services
In a world of distributed information systems,
which is represented by the internet, the efficient allocation of system
resources is a critical coordination task. In contrast to traditional
approaches of queueing theory and related scheduling algorithms PRISE
is focussing also the economic interpretation of scheduling problems.
Dynamic assignment of priorities to tasks seems to be the first step in
this direction. The supply function is modelled as a markovian decision
process, which implies the value function to be the price making factor.
Connectionistic methods, like reinforcement learning and neural-networks,
as well as methods of local search like genetic algorithms play an important
role in the solution of the first project part. A second approach tries
to employ methods of combinatorial auctions to solve the price dependant
optimal allocation problem.