Abstract
Network virtualization is a key technology for future network services, enabling the deployment of network services without changing dissimilar hardware devices. This leads to the problem of mapping virtual demands to physical resources, known as the \(\mathcal {NP}\)-hard Virtual Network Embedding problem. The DPVNE framework (Distributed, Parallel, and Generic Virtual Network Embedding Framework) has been presented as a distributed approach that is able to solve this optimization problem heuristically, spreading computational load to multiple distributed nodes. Previously, DPVNE has only been evaluated in simulation, but not in real, distributed test beds. In this paper, we present new empirical results on DPVNE’s performance in large-scale setups.
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Hahn, C., Holzner, S., Belzner, L., Beck, M.T. (2017). Empirical Evaluation of a Distributed Deployment Strategy for Virtual Networks. In: Bouzefrane, S., Banerjee, S., Sailhan, F., Boumerdassi, S., Renault, E. (eds) Mobile, Secure, and Programmable Networking. MSPN 2017. Lecture Notes in Computer Science(), vol 10566. Springer, Cham. https://doi.org/10.1007/978-3-319-67807-8_7
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DOI: https://doi.org/10.1007/978-3-319-67807-8_7
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