This paper is motivated by the emerging vision of an automated and data-driven optimization of communication networks.
We performed a case study of data-driven communication network optimization. Our approach shows promising first re- sults: neural network prediction as ...
SDN, NV, NFV claim to provide more flexibility in communication networks, especially in terms of resource allocation. ▫ New challenges. ▫ Fast management of ...
With a centralized control over the forwarding devices and the embedded flows, Software Defined Networking promises to increase the flexibility of communication ...
This paper investigates network algorithms which learn from the traffic distribution (the feature vector), in order to predict global network allocations (a ...
Algorithm-Data Driven Optimization of. Adaptive Communication Networks. Mu He, Patrick Kalmbach, Andreas Blenk, Wolfgang Kellerer. Technical University of ...
TL;DR: This paper investigates network algorithms which learn from the traffic distribution (the feature vector), in order to predict global network ...
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共同作者 ; Algorithm-data driven optimization of adaptive communication networks. M He, P Kalmbach, A Blenk, W Kellerer, S Schmid. 2017 IEEE 25th International ...