IntOpt: in-band network telemetry optimization framework to monitor network slices using P4
Article
Bhamare, D., Kassler, A., Vestin, J., Khoshkholghi, A., Taheri, J., Mahmoodi, T., Ohlen, P. and Curescu, C. 2022. IntOpt: in-band network telemetry optimization framework to monitor network slices using P4. Computer Networks. 216. https://doi.org/10.1016/j.comnet.2022.109214
Type | Article |
---|---|
Title | IntOpt: in-band network telemetry optimization framework to monitor network slices using P4 |
Authors | Bhamare, D., Kassler, A., Vestin, J., Khoshkholghi, A., Taheri, J., Mahmoodi, T., Ohlen, P. and Curescu, C. |
Abstract | The emergence of Network Functions Virtualization (NFV) is being heralded as an enabler of the recent technologies such as 5G/6G, IoT and heterogeneous networks. Existing NFV monitoring frameworks either do not have the capabilities to express the range of telemetry items needed to perform management or do not scale to large traffic volumes and rates. We present IntOpt, a scalable and expressive telemetry system designed for flexible NFV monitoring using active probing and P4. IntOpt allows us to specify monitoring requirements for individual service chain, which are mapped to telemetry item collection jobs that fetch the required telemetry items from P4 programmable data-plane elements. We propose mixed integer linear program (MILP) as well as a simulated annealing based random greedy (SARG) meta-heuristic approach to minimize the overhead due to active probing and collection of telemetry items. Using P4-FPGA, we benchmark the overhead for telemetry collection. Our numerical evaluation shows that the proposed approach can reduce monitoring overheads by 39% and monitoring delays by 57%. Such optimization may as well enable existing expressive monitoring frameworks to scale for larger real-time networks. |
Keywords | In-band Network Telemetry (INT); Monitoring; P4; Network function virtualization (NFV); Service function chain (SFC) |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
Middlesex University Theme | Creativity, Culture & Enterprise |
Publisher | Elsevier |
Journal | Computer Networks |
ISSN | 1389-1286 |
Electronic | 1872-7069 |
Publication dates | |
Online | 03 Aug 2022 |
24 Oct 2022 | |
Publication process dates | |
Submitted | 10 Mar 2022 |
Accepted | 21 Jul 2022 |
Deposited | 12 Sep 2024 |
Output status | Published |
Publisher's version | License File Access Level Open |
Copyright Statement | © 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.comnet.2022.109214 |
Scopus EID | 2-s2.0-85135954926 |
Web of Science identifier | WOS:000866230500014 |
Language | English |
https://repository.mdx.ac.uk/item/yzzz5
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