Abstract
We investigate the duet measurement procedure, which helps improve the accuracy of performance comparison experiments conducted on shared machines by executing the measured artifacts in parallel and evaluating their relative performance together, rather than individually. Specifically, we analyze the behavior of the procedure in multiple cloud environments and use experimental evidence to answer multiple research questions concerning the assumption underlying the procedure. We demonstrate improvements in accuracy ranging from 2.3x to 12.5x (5.03x on average) for the tested ScalaBench (and DaCapo) workloads, and from 23.8x to 82.4x (37.4x on average) for the SPEC CPU 2017 workloads.
Author supplied keywords
Cite
CITATION STYLE
Bulej, L., Horký, V., Tuma, P., Farquet, F., & Prokopec, A. (2020). Duet benchmarking: Improving measurement accuracy in the cloud. In ICPE 2020 - Proceedings of the ACM/SPEC International Conference on Performance Engineering (pp. 100–107). Association for Computing Machinery, Inc. https://doi.org/10.1145/3358960.3379132
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
