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- W2954609810 abstract "Network virtualization has enabled new business models by allowing infrastructure providers to lease or share their physical infrastructure. A fundamental network management problem that infrastructure providers face to support customized virtual network services is the Virtual Network Embedding (VNE). This requires solving the (NP-hard) problem of matching constrained virtual networks onto the physical network. In this paper, we propose EVA, an architecture that solves the virtual network embedding problem with evolutionary algorithms. By tuning the fitness function and several other policies and parameters, EVA adapts to different types of network topologies and virtualization environments. We compared a few representative policies of EVA with recent virtual network embedding and virtual network function chain allocation solutions; our findings show how with EVA we obtain higher acceptance ratio performance as well as quicker convergence time. We release our implementation code to allow researchers to experiment with evolutionary policy programmability." @default.
- W2954609810 created "2019-07-12" @default.
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- W2954609810 date "2019-07-13" @default.
- W2954609810 modified "2023-10-18" @default.
- W2954609810 title "EVA" @default.
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- W2954609810 doi "https://doi.org/10.1145/3321707.3321744" @default.
- W2954609810 hasPublicationYear "2019" @default.
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