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.
Digital Object Identifier (DOI)
Zou, Qiang; Li, Yong; Tan, Yujuan; and Chen, Xuesong
"Revisiting the Existence of Self-Similar Property in SPEC CPU Workloads,"
Applied Mathematics & Information Sciences: Vol. 08:
4, Article 41.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol08/iss4/41