Traffic-level probability model for the network centric system

A network centric system model with datacenters serving subscribers’ requests for a data transfer is considered. Data flows, so called elastic traffic, are characterized by a class independent bandwidth requirement and have exponentially distributed size. Flow request arriving is modeled by a Poisson process and data flows are served in accordance with the processor sharing discipline. A single link probability model analysis is presented and the exact expression of the flow blocking probability is derived.