基于粒子群的IPv6网络虚拟业务故障恢复算法

Jianwei Li, Zhibing Zhang, Kai-Zhong Zhou, Dan Luo
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引用次数: 0

摘要

在IPv6网络环境下,如何在有限的资源约束下恢复尽可能多的虚拟网络业务是一个迫切需要解决的问题。为了解决这一问题,本文将虚拟网络服务恢复问题建模为服务恢复失败次数最大化的问题。提出了一种基于粒子群的IPv6网络虚拟业务故障恢复算法。该算法首先将故障资源和虚拟服务构建为两层关联模型;其次,将网络资源恢复问题建模为粒子群问题,并采用粒子群优化算法对其进行求解;在实验部分,通过与现有算法的比较,验证了本文算法能够恢复更多失效的虚拟网络服务。
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Virtual Service Failure Recovery Algorithm Based on Particle Swarm in IPv6 Networks
In a IPv6 network environment, how to restore as many virtual network services as possible under the constraints of limited resources is an urgent problem to be solved. To solve this problem, this paper models the virtual network service recovery problem as a problem of maximizing the number of failed services recovery. A particle swarm-based virtual service failure recovery algorithm in IPv6 networks is proposed. The algorithm first constructs the faulty resource and virtual service as a two-layer correlation model. Secondly, the network resource recovery problem is modeled as a particle swarm problem, and the particle swarm optimization algorithm is used to solve it. In the experimental part, by comparing with existing algorithms, it is verified that the algorithm in this paper can recover more virtual network services that have failed.
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