Applied Mathematics & Information Sciences
Abstract
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.
Suggested Reviewers
N/A
Digital Object Identifier (DOI)
http://dx.doi.org/10.12785/amis/080441
Recommended Citation
Zou, Qiang; Li, Yong; Tan, Yujuan; and Chen, Xuesong
(2014)
"Revisiting the Existence of Self-Similar Property in SPEC CPU Workloads,"
Applied Mathematics & Information Sciences: Vol. 08:
Iss.
4, Article 41.
DOI: http://dx.doi.org/10.12785/amis/080441
Available at:
https://digitalcommons.aaru.edu.jo/amis/vol08/iss4/41