CPU Benchmarking of the Scalability and Power Consumption of Virtualized Edge Devices

Jeffrey McCann; Sean McGrath; Colin Flanagan; Xiaoxiao Liu

doi:10.1007/978-981-99-3243-6_72

CPU Benchmarking of the Scalability and Power Consumption of Virtualized Edge Devices

Jeffrey McCann, Sean McGrath, Colin Flanagan, Xiaoxiao Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Where use cases demand lower latency analysis of streaming video data, the move from traditional cloud-based infrastructure toward computing platforms closer to the edge of the network. Hardware manufacturers are releasing more powerful enterprise-grade server platforms designed to operate in edge environments. Alongside the hardware, the use of virtualization software enables multiple use cases to run concurrently on one physical platform. This paper examines the CPU performance of a physical unit, and the CPU performance of virtual devices, running on the same physical device and demonstrates the benefits virtualization can offer when delivering workloads requiring high CPU workloads, and can also offer benefits in power utilization compared with discrete individual devices.

Original language	English
Title of host publication	Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023
Editors	Xin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	893-905
Number of pages	13
ISBN (Print)	9789819932429
DOIs	https://doi.org/10.1007/978-981-99-3243-6_72
Publication status	Published - 2023
Event	8th International Congress on Information and Communication Technology, ICICT 2023 - London, United Kingdom Duration: 20 Feb 2023 → 23 Feb 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	693 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	8th International Congress on Information and Communication Technology, ICICT 2023
Country/Territory	United Kingdom
City	London
Period	20/02/23 → 23/02/23

Keywords

Edge
Edge workload
MEC
Video analytics
Virtualization scalability

Access to Document

10.1007/978-981-99-3243-6_72

Cite this

McCann, J., McGrath, S., Flanagan, C., & Liu, X. (2023). CPU Benchmarking of the Scalability and Power Consumption of Virtualized Edge Devices. In X.-S. Yang, R. S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023 (pp. 893-905). (Lecture Notes in Networks and Systems; Vol. 693 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-3243-6_72

McCann, Jeffrey ; McGrath, Sean ; Flanagan, Colin et al. / CPU Benchmarking of the Scalability and Power Consumption of Virtualized Edge Devices. Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. editor / Xin-She Yang ; R. Simon Sherratt ; Nilanjan Dey ; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2023. pp. 893-905 (Lecture Notes in Networks and Systems).

@inproceedings{40146698466d4812a06c775c6ebeba4f,

title = "CPU Benchmarking of the Scalability and Power Consumption of Virtualized Edge Devices",

abstract = "Where use cases demand lower latency analysis of streaming video data, the move from traditional cloud-based infrastructure toward computing platforms closer to the edge of the network. Hardware manufacturers are releasing more powerful enterprise-grade server platforms designed to operate in edge environments. Alongside the hardware, the use of virtualization software enables multiple use cases to run concurrently on one physical platform. This paper examines the CPU performance of a physical unit, and the CPU performance of virtual devices, running on the same physical device and demonstrates the benefits virtualization can offer when delivering workloads requiring high CPU workloads, and can also offer benefits in power utilization compared with discrete individual devices.",

keywords = "Edge, Edge workload, MEC, Video analytics, Virtualization scalability",

author = "Jeffrey McCann and Sean McGrath and Colin Flanagan and Xiaoxiao Liu",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.; 8th International Congress on Information and Communication Technology, ICICT 2023 ; Conference date: 20-02-2023 Through 23-02-2023",

year = "2023",

doi = "10.1007/978-981-99-3243-6_72",

language = "English",

isbn = "9789819932429",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "893--905",

editor = "Xin-She Yang and Sherratt, {R. Simon} and Nilanjan Dey and Amit Joshi",

booktitle = "Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023",

}

McCann, J, McGrath, S , Flanagan, C & Liu, X 2023, CPU Benchmarking of the Scalability and Power Consumption of Virtualized Edge Devices. in X-S Yang, RS Sherratt, N Dey & A Joshi (eds), Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. Lecture Notes in Networks and Systems, vol. 693 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 893-905, 8th International Congress on Information and Communication Technology, ICICT 2023, London, United Kingdom, 20/02/23. https://doi.org/10.1007/978-981-99-3243-6_72

CPU Benchmarking of the Scalability and Power Consumption of Virtualized Edge Devices. / McCann, Jeffrey; McGrath, Sean ; Flanagan, Colin et al.
Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. ed. / Xin-She Yang; R. Simon Sherratt; Nilanjan Dey; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2023. p. 893-905 (Lecture Notes in Networks and Systems; Vol. 693 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - CPU Benchmarking of the Scalability and Power Consumption of Virtualized Edge Devices

AU - McCann, Jeffrey

AU - McGrath, Sean

AU - Flanagan, Colin

AU - Liu, Xiaoxiao

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

PY - 2023

Y1 - 2023

N2 - Where use cases demand lower latency analysis of streaming video data, the move from traditional cloud-based infrastructure toward computing platforms closer to the edge of the network. Hardware manufacturers are releasing more powerful enterprise-grade server platforms designed to operate in edge environments. Alongside the hardware, the use of virtualization software enables multiple use cases to run concurrently on one physical platform. This paper examines the CPU performance of a physical unit, and the CPU performance of virtual devices, running on the same physical device and demonstrates the benefits virtualization can offer when delivering workloads requiring high CPU workloads, and can also offer benefits in power utilization compared with discrete individual devices.

AB - Where use cases demand lower latency analysis of streaming video data, the move from traditional cloud-based infrastructure toward computing platforms closer to the edge of the network. Hardware manufacturers are releasing more powerful enterprise-grade server platforms designed to operate in edge environments. Alongside the hardware, the use of virtualization software enables multiple use cases to run concurrently on one physical platform. This paper examines the CPU performance of a physical unit, and the CPU performance of virtual devices, running on the same physical device and demonstrates the benefits virtualization can offer when delivering workloads requiring high CPU workloads, and can also offer benefits in power utilization compared with discrete individual devices.

KW - Edge

KW - Edge workload

KW - MEC

KW - Video analytics

KW - Virtualization scalability

UR - http://www.scopus.com/inward/record.url?scp=85174674886&partnerID=8YFLogxK

U2 - 10.1007/978-981-99-3243-6_72

DO - 10.1007/978-981-99-3243-6_72

M3 - Conference contribution

AN - SCOPUS:85174674886

SN - 9789819932429

T3 - Lecture Notes in Networks and Systems

SP - 893

EP - 905

BT - Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023

A2 - Yang, Xin-She

A2 - Sherratt, R. Simon

A2 - Dey, Nilanjan

A2 - Joshi, Amit

PB - Springer Science and Business Media Deutschland GmbH

T2 - 8th International Congress on Information and Communication Technology, ICICT 2023

Y2 - 20 February 2023 through 23 February 2023

ER -

McCann J, McGrath S , Flanagan C, Liu X. CPU Benchmarking of the Scalability and Power Consumption of Virtualized Edge Devices. In Yang XS, Sherratt RS, Dey N, Joshi A, editors, Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. Springer Science and Business Media Deutschland GmbH. 2023. p. 893-905. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-99-3243-6_72

CPU Benchmarking of the Scalability and Power Consumption of Virtualized Edge Devices

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this