Network topology selection with multistate neural memories

作者：

Highlights：

• We propose a novel algorithm to find efficient topologies for networks.

• Our method uses auto-associative neural memories.

• We implemented a simulator in C#, and we did simulations using realistic traffic.

• Our method improves a previously proposed method by 60%.

摘要

•We propose a novel algorithm to find efficient topologies for networks.•Our method uses auto-associative neural memories.•We implemented a simulator in C#, and we did simulations using realistic traffic.•Our method improves a previously proposed method by 60%.

论文关键词：Neural memories,Networks,Topology selection,Auto-associative memories,Virtual topology reconfiguration

论文评审过程：Available online 15 December 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.12.005