TY - GEN
T1 - On studying CPU performance of cloudlab hardware
AU - Duplyakin, Dmitry
AU - Uta, Alexandru
AU - Maricq, Aleksander
AU - Ricci, Robert
PY - 2019/10/31
Y1 - 2019/10/31
N2 - Empirical performance measurements of computer systems almost always exhibit variability and anomalies. Run-to-run and server-to-server variations are common for CPU, memory, disk, and network performance characteristics. In our previous work, we focused on taming performance variability for memory, disk, and network [1] and established an interactive analysis service at: https://confirm.fyi/to help users of the CloudLab testbed [2] better plan and conduct their experiments. In this paper, we describe our analysis of CPU variability based on over 1.3M performance measurements from nearly 1,800 servers and present our initial findings.
AB - Empirical performance measurements of computer systems almost always exhibit variability and anomalies. Run-to-run and server-to-server variations are common for CPU, memory, disk, and network performance characteristics. In our previous work, we focused on taming performance variability for memory, disk, and network [1] and established an interactive analysis service at: https://confirm.fyi/to help users of the CloudLab testbed [2] better plan and conduct their experiments. In this paper, we describe our analysis of CPU variability based on over 1.3M performance measurements from nearly 1,800 servers and present our initial findings.
UR - http://www.scopus.com/inward/record.url?scp=85074987179&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85074987179&partnerID=8YFLogxK
U2 - 10.1109/ICNP.2019.8888128
DO - 10.1109/ICNP.2019.8888128
M3 - Conference contribution
AN - SCOPUS:85074987179
T3 - Proceedings - International Conference on Network Protocols, ICNP
BT - 27th IEEE International Conference on Network Protocols (ICNP)
PB - IEEE Computer Society
T2 - 27th IEEE International Conference on Network Protocols, ICNP 2019
Y2 - 7 October 2019 through 10 October 2019
ER -
