A Green VNF-FG Embedding Algorithm

Oussama Soualah, Marouen Mechtri, Chaima Ghribi, D. Zeghlache
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引用次数: 13

Abstract

This paper proposes an Integer Linear Program (ILP) to address the Virtualized Network Function Forwarding Graph (VNF-FG) placement and chaining problem when VNFs are shared across tenants to optimize resource usage and increase provider revenue. Since ILP approaches do not scale well with problem size, the proposed algorithm selects a limited number of candidate hosts from the infrastructure to control complexity. The proposed on line ILP based heuristic is shown to outperform a tree based algorithm from the state of the art that relies also on sharing of VNFs to improve resource utilization. Results from extensive simulations report the achieved performance improvements in terms of rejection of service requests, energy consumption, scalability and attained revenues. Limiting the number of candidate hosts is an efficient way to tune the ILP to ensure scalability and to find good VNF-FG placement solutions for large problem sizes.
一种绿色VNF-FG嵌入算法
本文提出了一种整数线性规划(ILP)来解决虚拟网络功能转发图(VNF-FG)在租户之间共享时的放置和链接问题,以优化资源使用并增加提供商收入。由于ILP方法不能很好地随问题规模扩展,因此该算法从基础设施中选择有限数量的候选主机以控制复杂性。所提出的基于在线ILP的启发式算法被证明优于基于树的算法,该算法也依赖于共享vnf来提高资源利用率。大量模拟的结果报告了在拒绝服务请求、能源消耗、可伸缩性和获得的收入方面实现的性能改进。限制候选主机的数量是优化ILP以确保可伸缩性和为大型问题找到良好的VNF-FG放置解决方案的有效方法。
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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