Network Function Virtualization (NFV) is a promising technology that decouples network functions from the physical device on which they deployed. Network service in NFV is deployed as Service Function Chain (SFC) that consists of an ordered set of Virtual Network Functions (VNFs). In this paper, we focus on the VNF placement problem in data center networks considering availability guarantee and resource optimization. Firstly, we define an availability model that takes both physical device failures and VNF failures into consideration when evaluating the availability of SFC. Secondly, we propose a novel Joint Path-VNF (JPV) backup model that combines path backup and VNF backup in a joint way. In the JPV backup model, resource consumption can be effectively reduced. Finally, we design an Affinity-Based Algorithm (ABA) to reduce physical link consumption when map VNFs. The evaluation results show that ABA and JPV can achieve better availability improvement (99.99%) with less resource (reduce 40% PL consumption).

中文翻译：

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数据中心网络虚拟网络功能布局的联合可用性保障与资源优化


网络功能虚拟化 (NFV) 是一项很有前途的技术，它将网络功能与其部署的物理设备分离。 NFV 中的网络服务部署为服务功能链 (SFC)，其中包含一组有序的虚拟网络功能 (VNF)。在本文中，我们重点研究考虑可用性保证和资源优化的数据中心网络中的VNF放置问题。首先，我们定义了一个可用性模型，在评估SFC的可用性时，同时考虑物理设备故障和VNF故障。其次，我们提出了一种新颖的联合路径-VNF（JPV）备份模型，以联合方式将路径备份和VNF备份结合起来。 JPV备份模型可以有效降低资源消耗。最后，我们设计了一种基于亲和力的算法（ABA）来减少映射 VNF 时的物理链路消耗。评估结果表明，ABA 和 JPV 可以用更少的资源（减少 40% PL 消耗）实现更好的可用性提升（99.99%）。