VNF实例的可用性和故障率:影响参数和计算方法

Siamak Azadiabad, F. Khendek, M. Toeroe
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引用次数: 1

摘要

网络功能虚拟化(Network Function Virtualization, NFV)定义了一个动态环境来部署虚拟网络功能(Virtual Network Functions, VNF),作为提供特定网络功能的网络服务(Network Services, NS)的组成部分。一个VNF由至少一个VNFC (VNF Component)和0个或多个IntVL (Internal Virtual Links)组成。NS的可用性取决于组合VNF功能的可用性。反过来,这些依赖于底层资源、它们的放置限制、策略和数量,这些会随着时间的推移根据不同工作负载的需要而变化。因此,VNF实例的可用性和故障率可能随时间变化。也就是说,对于不同的VNF缩放级别,它可能是不同的。在本文中,我们研究了影响VNF实例的可用性和故障率的参数,并提出了在这种动态情况下计算给定基础结构下VNF实例的保证最小可用性和保证最大故障率的方法。
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Availability and Failure Rate of VNF Instances: Impacting Parameters and Calculation Methods
Network Function Virtualization (NFV) defines a dynamic environment to deploy Virtual Network Functions (VNF) as constituents of Network Services (NS) that provide specific network functionalities. A VNF is composed of at least one VNF Component (VNFC) and zero, or more Internal Virtual Links (IntVL). The availability of an NS depends on the availability of the composing VNF functionalities. In turn these depend on the underlying resources, their placement constraints, policies, and their number, which change over time as required by the varying workload. Accordingly, the availability and failure rate of a VNF instance may vary over time. That is, it may be different for the different VNF scaling levels. In this paper, we investigate the parameters affecting the availability and the failure rate of a VNF instance, and we propose methods to calculate for such dynamic cases the guaranteed minimum availability and the guaranteed maximum failure rate for a VNF instance considering a given infrastructure.
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