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Particle Swarm Optimization of Network Migration Planning

机译:网络迁移规划的粒子群算法

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Traffic demand of backbone networks will increase rapidly in the next years, while equipment costs per bit are shrinking. To cope with this development the migration of those backbones towards Carrier Ethernet is investigated. In this paper we discuss a Particle Swarm Optimization (PSO) heuristic that can be used to enhance the overall migration process. We will introduce the basic migration problem, as well as system models for a possible migration case. Improved heuristics for basic PSO and their application to network migration will be presented. Results regarding algorithm performance and optimized migration cost will be delivered in the paper.
机译:未来几年,主干网的流量需求将快速增长,而每比特的设备成本正在下降。为了应对这种发展,我们研究了这些主干网向载波以太网的迁移。在本文中,我们讨论了一种粒子群优化(PSO)启发式算法,可用于增强整体迁移过程。我们将介绍基本的迁移问题,以及可能的迁移案例的系统模型。本文将介绍基本粒子群优化算法的改进启发式算法及其在网络迁移中的应用。本文将给出有关算法性能和优化迁移成本的结果。

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