Revisiting the Existence of Self-Similar Property in SPEC CPU Workloads
Qiang Zou, Yong Li, Yujuan Tan, Xuesong Chen · Applied Mathematics & Information Sciences · 2014
This paper studies self-similarity of memory accesses in high-performance computer systems. We analyze the autocorrelation functions of memory access intervals in SPEC CPU workloads with different time scales and present the statistical evidence that memory accesses have self-similar behavior. For memory traces studied in our experiments, all estimated Hurst parameters are larger than 0.5, which indicate that self-similarity seems to be a general property of memory access behaviors. In addition, a selfsimilar model is proposed to generate memory access series and experimental results show that this model can faithfully emulate the complex access behaviors of real memory systems.