Publication details

T. Cucinotta, L. Pannocchi, F. Galli, S. Fichera, S. Lahiri, A. Artale. "Optimum VM Placement for NFV Infrastructures," in Proceedings of the 10th IEEE International Conference on Cloud Engineering (IC2E 2022), September 26-30, 2022, Pacific Grove, CA, USA.

Abstract

This paper constitutes an industrial experience report about the use of data center optimization strategies for softwarized network services within the Vodafone resource man- agement unit for the management of virtualized network infrastructures. The problem of optimum virtual machine placement as needed in the network operator context is detailed, and different solving strategies are proposed and discussed, including heuristics based on genetic optimization. Also, experimental results are presented that compare these strategies with one another from the standpoint of optimality and execution times, using a data-set made of some of the real problems that had to be solved in the past few years by Vodafone, in order to optimize its capacity planning decisions. This data-set is also being published under an open data license, for possible re-use in future research works on the topic.

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DOI: 10.1109/IC2E55432.2022.00029

BibTeX entry:

@inproceedings{Cucinotta2022,
	doi = {10.1109/ic2e55432.2022.00029},
	url = {https://doi.org/10.1109%2Fic2e55432.2022.00029},
	year = 2022,
	month = sep,
	publisher = {{IEEE}},
	author = {Tommaso Cucinotta and Luigi Pannocchi and Filippo Galli and Silvia Fichera and Sourav Lahiri and Antonino Artale},
	title = {Optimum {VM} Placement for {NFV} Infrastructures},
	booktitle = {2022 {IEEE} International Conference on Cloud Engineering ({IC}2E)}
}

Open Data

This page allows for downloading a compressed archive containing a set of real vBOM placement problems, as coming from the Vodafone NFV industrial scenario, that have been used for obtaining the results shown in the paper. This data is made publicly available under an open data license, for possible further use by other researchers during their future works.

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Last updated on
07 November 2024