Abstract: An accurate traffic analysis model is needed for latency prediction and verification in on-chip design.Unfortunately,the state-of-art Markov-based short range dependent models cannot characterize burst and self-similarity of on-chip traffic,therefore it is not applicable for the communication and signal processing SoCs.This paper proposed a self-similar NoC traffic model based on multiple parameters to provide accurate benchmarks for the design and verification of NoC.Using theoretical derivation and experimental method,this paper established an MPSoC information relevance model,provided an empirical fitting function between the parameters of the relevance model and Hurst parameter,and established the method to estimate Hurst parameter of NoC traffic.The experimental results prove that this traffic model can achieve an approximate and effective Hurst parameter.

Key words: Network on chip,Traffic analysis,Self-similarity,Hurst parameter