dc.contributor.author |
Ebrahim, Rozeena
|
|
dc.contributor.author |
Luvhengo, Fhatuwani
|
|
dc.contributor.author |
Vilakazi, Mlamuli
|
|
dc.contributor.author |
Mamushiane, Lusani
|
|
dc.contributor.author |
Lysko, Albert A
|
|
dc.date.accessioned |
2023-12-12T11:16:15Z |
|
dc.date.available |
2023-12-12T11:16:15Z |
|
dc.date.issued |
2023-09 |
|
dc.identifier.citation |
Ebrahim, R., Luvhengo, F., Vilakazi, M., Mamushiane, L. & Lysko, A.A. 2023. Software tools for power consumption monitoring of open 5G and beyond research: A review. http://hdl.handle.net/10204/13402 . |
en_ZA |
dc.identifier.uri |
Power consumption
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/13402
|
|
dc.description.abstract |
This paper investigates four software tools with CPU power consumption estimation capabilities and identifies the most suitable tool for open fifth-generation (5G) and beyond research. The tools considered are Open Hardware Monitor (OHM), Perf, Turbostat, and Powerstat. In this paper, we also show a comparison between hardware- and software-based power consumption monitoring on both Windows and Linux. The work considers experimentally probing the power consumption of a 5G base station component, which has been implemented on an open Radio Access Network (RAN) server computing platform. We found the Turbostat software tool to be the most suitable for our use case. Furthermore, with this tool, we demonstrate software power consumption monitoring of the RAN server, which showed a good correlation with hardware-based power consumption measurements. We also demonstrate the need to calibrate/offset the results to account for power consumption due to other components of a server. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/10293355 |
en_US |
dc.source |
IEEE Africon, Nairobi, Kenya, 20 - 22 September 2023 |
en_US |
dc.subject |
Software tools |
en_US |
dc.subject |
Power measurement |
en_US |
dc.subject |
Energy efficiency |
en_US |
dc.subject |
Base station |
en_US |
dc.subject |
Radio access network |
en_US |
dc.subject |
5G |
en_US |
dc.subject |
Power consumption |
en_US |
dc.title |
Software tools for power consumption monitoring of open 5G and beyond research: A review |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
6 |
en_US |
dc.description.note |
©2023 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/10293355 |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.description.impactarea |
Spectrum Access Management Innovation |
en_US |
dc.description.impactarea |
Cloud & Network Architectures |
en_US |
dc.identifier.apacitation |
Ebrahim, R., Luvhengo, F., Vilakazi, M., Mamushiane, L., & Lysko, A. A. (2023). Software tools for power consumption monitoring of open 5G and beyond research: A review. http://hdl.handle.net/10204/13402 |
en_ZA |
dc.identifier.chicagocitation |
Ebrahim, Rozeena, Fhatuwani Luvhengo, Mlamuli Vilakazi, Lusani Mamushiane, and Albert A Lysko. "Software tools for power consumption monitoring of open 5G and beyond research: A review." <i>IEEE Africon, Nairobi, Kenya, 20 - 22 September 2023</i> (2023): http://hdl.handle.net/10204/13402 |
en_ZA |
dc.identifier.vancouvercitation |
Ebrahim R, Luvhengo F, Vilakazi M, Mamushiane L, Lysko AA, Software tools for power consumption monitoring of open 5G and beyond research: A review; 2023. http://hdl.handle.net/10204/13402 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Ebrahim, Rozeena
AU - Luvhengo, Fhatuwani
AU - Vilakazi, Mlamuli
AU - Mamushiane, Lusani
AU - Lysko, Albert A
AB - This paper investigates four software tools with CPU power consumption estimation capabilities and identifies the most suitable tool for open fifth-generation (5G) and beyond research. The tools considered are Open Hardware Monitor (OHM), Perf, Turbostat, and Powerstat. In this paper, we also show a comparison between hardware- and software-based power consumption monitoring on both Windows and Linux. The work considers experimentally probing the power consumption of a 5G base station component, which has been implemented on an open Radio Access Network (RAN) server computing platform. We found the Turbostat software tool to be the most suitable for our use case. Furthermore, with this tool, we demonstrate software power consumption monitoring of the RAN server, which showed a good correlation with hardware-based power consumption measurements. We also demonstrate the need to calibrate/offset the results to account for power consumption due to other components of a server.
DA - 2023-09
DB - ResearchSpace
DP - CSIR
J1 - IEEE Africon, Nairobi, Kenya, 20 - 22 September 2023
KW - Software tools
KW - Power measurement
KW - Energy efficiency
KW - Base station
KW - Radio access network
KW - 5G
KW - Power consumption
LK - https://researchspace.csir.co.za
PY - 2023
T1 - Software tools for power consumption monitoring of open 5G and beyond research: A review
TI - Software tools for power consumption monitoring of open 5G and beyond research: A review
UR - http://hdl.handle.net/10204/13402
ER -
|
en_ZA |
dc.identifier.worklist |
27275 |
en_US |