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Performance evaluation of resilience using service relocation for GMPLS networks

机译:使用GMPLS网络中的服务重定位进行弹性性能评估

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Cloud computing today represents an ever increasing part of the data exchanged over the Internet. This influences the core network, where the special properties of cloud based services can be leveraged to increase the network efficiency. This paper explores the concept of relocation for the backup path when providing resiliency to cloud services in the network. The control plane of a GMPLS-enabled optical network is simulated, thus evaluating the proposed Path Computation Element architecture for service relocation. The results show that for increased offered traffic in the network, the overall blocking probability of service requests is lower if relocation is enabled in the protection scheme.
机译:今天的云计算代表了通过Internet交换的数据的不断增长的一部分。这影响了核心网络,在核心网络中可以利用基于云的服务的特殊属性来提高网络效率。本文探讨了为网络中的云服务提供弹性时,备份路径的重定位概念。对支持GMPLS的光网络的控制平面进行了仿真,从而评估了所提出的用于服务重定位的路径计算元素体系结构。结果表明,如果在保护方案中启用了重定位,则对于网络中提供的增加的通信量,服务请求的总体阻止概率会降低。

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