On the Performance Benefits of Heterogeneous Virtual Network Function Execution Frameworks

Adoga, H. U., Elkhatib, Y. and Pezaros, D. P. (2022) On the Performance Benefits of Heterogeneous Virtual Network Function Execution Frameworks. In: 4th International Workshop on Performance Evaluation of Next Generation Virtualized Environments and Software-Defined Networks, Milan, Italy, 27 Jun - 1 Jul 2022, pp. 109-114. ISBN 9781665406949 (doi: 10.1109/NetSoft54395.2022.9844115)

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Abstract

As the adoption of softwarized network functions (NFs) keeps growing, we evaluate the performance benefits of SDN-aware data-plane implementations when compared to diverse acceleration and process-based NFV frameworks. Typical network functions have been implemented using four alternative frameworks scenarios, an SDN-aware software switch (data-plane), a virtual machine (VM), a Data-Plane Development Kit (DPDK) NF, and a containerized NF. Results from our experiments show that the data-plane NF implementation yields much higher bandwidth and packets per second (pps) rates. The bandwidth obtained is 14% more than the user-space scenario while retaining CPU utilization. The DPDK NFs in our evaluation can process packets at a much higher rate for 64B packets, on a single CPU core, which is 7 times higher than the containerized NF implementations, also tied to a single core. Our results also show the performance gains from deploying virtual network functions on heterogeneous frameworks.

Item Type:Conference Proceedings
Additional Information:This work was supported in part by the UK Engineering and Physical Sciences Research Council (EPSRC) grant EP/N033957/1, the PETRAS National Centre of Excellence for IoT Systems Cybersecurity, which has been funded by the UK EPSRC under grant number EP/S035362/1, and the Petroleum Technology Development Fund (PTDF) Nigeria, grant 1563/19.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Adoga, Haruna Umar and Pezaros, Professor Dimitrios and Elkhatib, Dr Yehia
Authors: Adoga, H. U., Elkhatib, Y., and Pezaros, D. P.
College/School:College of Science and Engineering > School of Computing Science
ISSN:2693-9789
ISBN:9781665406949
Published Online:03 August 2022
Copyright Holders:Copyright © 2022 IEEE
First Published:First published in 2022 IEEE 8th International Conference on Network Softwarization (NetSoft): 109-114
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
172888Network Measurement as a Service (MaaS)Dimitrios PezarosEngineering and Physical Sciences Research Council (EPSRC)EP/N033957/1Computing Science