Models for high-speed interconnection networks performance analysis

Abstract

Modeling Interconnection networks is an important research topic enabling the study of the interconnection behavior and its significance in telecommunication applications and distributed systems. However, complexity of large-scale networks makes development of models and simulation tools a prohibitively difficult task. In this paper we have explored the network modeling space design to provide models following two different approaches: accurate simulation models based on finite state machines (FSM), and also, analytical models to provide profitable speedup with a minimal accuracy loss. Experiments results show that the proposed analytical model provides a faithful abstraction for the scale of systems that are of interest in the foreseeable future, it reaches an 8% error and speedup of around 30x vs. a FSM model.