Analytical Models for QoS-driven VNF Placement and Provisioning in Wireless Carrier Cloud

F. Jemaa, G. Pujolle, Michel Pariente
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引用次数: 12

Abstract

Network Function Virtualisation (NFV) represents a promising solution for wireless network operators to improve business agility and cope with the continuing growth in data traffic. Furthermore, by virtualizing core network functions as well as radio-access network functions, NFV can effectively reduce the cost to deploy and operate large wireless networks. Face to this technology revolution, a new underlying cloud architecture is emerging. This architecture is based on the combination of edge clouds and a centralized cloud, referred to as the edge-central cloud. This notably improves user experience while ensuring scalability and load balancing. In such carrier cloud environment, efficient management mechanisms for the Virtual Network Functions (VNFs) are of crucial importance. In this paper, we introduce VNF placement and provisioning optimization strategies over an edge-central carrier cloud infrastructure taking into account QoS requirements (i.e., response time, latency constraints and real-time requirements) and using analytical and QoS models. Our main design goals are to optimize resource utilization, to prevent cloudlet overload, and to avoid violation of SLA requirements. We propose different solutions to achieve a trade-off between these conflicting objectives according to the wireless operator requirements. These solutions are evaluated through extensive simulations using different performance metrics and encouraging results are obtained.
无线运营商云中qos驱动的VNF放置和配置分析模型
网络功能虚拟化(NFV)是无线网络运营商提高业务灵活性和应对持续增长的数据流量的一种有前途的解决方案。此外,NFV通过对核心网功能和无线接入网功能的虚拟化,可以有效降低大型无线网络的部署和运营成本。面对这场技术革命,一种新的底层云架构正在出现。这种架构基于边缘云和集中式云的组合,称为边缘中心云。这在确保可伸缩性和负载平衡的同时显著改善了用户体验。在这种运营商云环境下,高效的虚拟网络功能管理机制至关重要。在本文中,我们介绍了在边缘中心载波云基础设施上的VNF放置和配置优化策略,考虑了QoS需求(即响应时间、延迟约束和实时需求),并使用了分析模型和QoS模型。我们的主要设计目标是优化资源利用,防止cloudlet过载,并避免违反SLA需求。根据无线运营商的要求,我们提出了不同的解决方案来实现这些相互冲突的目标之间的权衡。这些解决方案通过使用不同的性能指标进行了广泛的模拟评估,并获得了令人鼓舞的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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