  Congestion game is a widely used model for modern networked applications. A
central issue in such applications is that the selfish behavior of the
participants may result in resource overloading and negative externalities for
the system participants. In this work, we propose a pricing mechanism that
guarantees the sub-linear increase of the time-cumulative violation of the
resource load constraints. The feature of our method is that it is
resource-centric in the sense that it depends on the congestion state of the
resources and not on specific characteristics of the system participants. This
feature makes our mechanism scalable, flexible, and privacy-preserving.
Moreover, we show by numerical simulations that our pricing mechanism has no
significant effect on the agents' welfare in contrast to the improvement of the
capacity violation.
