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首页> 外文会议>International Computer Conference, Computer Society of Iran >Joint VNF Load Balancing and Service Auto-Scaling in NFV with Multimedia Case Study
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Joint VNF Load Balancing and Service Auto-Scaling in NFV with Multimedia Case Study

机译：NFV联合VNF负载平衡和服务自动缩放，具有多媒体案例研究

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The evolution of 5G key enabler technologies, such as SDN and NFV, has brought Network Operators attention to procure an efficient service delivery mechanism on each possible computing infrastructure PoP. Therefore, it is trivial to leverage service management and orchestration functionalities that operate in harmony since they may have significant impact on each others performance. In this paper, we investigate joint Load balancing and auto-scaling of service instances being provisioned on computing infrastructure in edge or cloud. We address the necessity and challenges of designing the Load balancing algorithm and scale decision making policy, aware of one another, through several practical scenarios. It is demonstrated that not only change in VNF load balancing method may deteriorate scaling Quality of Decision-making, but also scaling policy must be selected according to how load balancing unit distributes traffic among VNFs. We use Multimedia signalling service delivery in NFV environment as a case study, and aforementioned solution is implemented using management and orchestration of XeniumNFV open-source tool.
机译：5G关键推动器技术的演变，如SDN和NFV，带来了网络运营商注意，在每个可能的计算基础架构POP上采购高效的服务传递机制。因此，利用和谐的服务管理和管弦郎官能团是微不足道的，因为它们可能对彼此的绩效产生重大影响。在本文中，我们调查了在边缘或云中计算基础设施提供的服务实例的联合负载平衡和自动缩放。我们解决了设计负载平衡算法和规模决策策略的必要性和挑战，通过若干实际情况来了解彼此。据证明，VNF负载平衡方法的变化不仅可以恶化决策的缩放质量，而且必须根据负载平衡单元在VNF之间分配流量的程度来选择缩放策略。我们在NFV环境中使用多媒体信令服务作为一个案例研究，并使用XeniumNFV开源工具的管理和编排来实现上述解决方案。

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