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: | Pezaros, Professor Dimitrios and Elkhatib, Dr Yehia and Adoga, Haruna Umar |
| 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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