@inproceedings{9edc3be4d24846bea04ac8c747b44129,
title = "Constrained Dynamic Virtual Network Embedding",
abstract = "This paper focuses on a dynamic embedding of client-constrained heterogeneous Virtual Network (VN) requests with multiple nodes and links affinity and anti-affinity requirements. For this Virtual Network Embedding (VNE) problem, we formulate an Integer-Linear Programming (ILP)-based model that achieves joint mapping of virtual nodes and links of each VN onto the dynamically updated Substrate Network (SN). This model not only meets the clients expressed isolation constraints but also includes VN request arrivals and departures to update SN information. Numerical experiments illustrate the efficiency of the proposed methods and their ability to find optimal solutions. Performance reports provide cloud service providers with insights into additional investments in nodes and links they should make to serve clients with anti-affinity requirements.",
keywords = "anti-affinity, customized request, integer-linear programming, isolation, virtual network embedding",
author = "Junkai He and Makhlouf Hadji and Djamal Zeghlache",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 48th IEEE Conference on Local Computer Networks , LCN 2023 ; Conference date: 02-10-2023 Through 05-10-2023",
year = "2023",
month = jan,
day = "1",
doi = "10.1109/LCN58197.2023.10223368",
language = "English",
series = "Proceedings - Conference on Local Computer Networks, LCN",
publisher = "IEEE Computer Society",
editor = "Eyuphan Bulut and Florian Tschorsch and Kanchana Thilakarathna",
booktitle = "Proceedings of the 48th IEEE Conference on Local Computer Networks , LCN 2023",
}