Shaping self-similar traffic at access of optical network

The focus of this paper is shaping of self-similar traffic at the access of an optical node. Due to the lack of optical memories, we suggest a combined exploitation of electronic memories in the edge of the optical network by means of shaping and propose two novel shaping algorithms that dynamically shape the incoming traffic so as to meet Quality of Service (QoS) requirements while keeping with the optical core network constraints. The first algorithm follows a deterministic approach and is based on the service curves theory. It dynamically, on an interval basis, adjusts the shaping parameters to the token bucket described self-similar traffic. The second, alternative shaping algorithm follows a stochastic approach. It blindly shapes the traffic using a jumping observation window.