Optimal VNF Placement and Traffic Steering using Column Generation

Devyani Gupta, J. Kuri
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Abstract

VNF placement and traffic steering have received considerable attention in the literature, ever since business pressures started driving telecom operators to embrace virtualization technologies instead of continuing with the expensive “dedicated hardware and appliance” approach. However, most proposed solutions are not exact. When the formulated problem results in an Integer Linear Program (ILP) or a Mixed Integer Linear Program (MILP), the focus shifts to searching for heuristics. We show that using the Column Generation (CG) technique, exact solutions can be obtained quickly. The CG approach can be used to solve problems in both offline and online scenarios. For the aggregate bandwidth minimization problem, the exact solution provided by CG improves significantly upon “DP-COA”, a recently proposed heuristic. However, aggregate bandwidth minimization can lead to highly uneven link loading. Motivated by this, we formulate another problem in which the objective is to minimize the maximum link bandwidth consumed over all links in the network. This problem is also solved exactly using CG. Results indicate that this approach can help achieve balanced traffic demand placement.
使用列生成的最佳VNF放置和流量控制
自从业务压力开始驱使电信运营商接受虚拟化技术,而不是继续使用昂贵的“专用硬件和设备”方法以来,VNF的放置和流量控制在文献中受到了相当大的关注。然而,大多数提出的解决方案并不精确。当公式化问题的结果是整数线性规划(ILP)或混合整数线性规划(MILP)时,重点转移到寻找启发式。我们证明了使用柱生成(CG)技术可以快速得到精确的解。CG方法可用于解决离线和在线场景中的问题。对于总带宽最小化问题,CG提供的精确解在最近提出的启发式算法“DP-COA”的基础上得到了显著改进。然而,聚合带宽最小化可能导致链路负载高度不均匀。受此启发,我们制定了另一个问题,其目标是最小化网络中所有链路消耗的最大链路带宽。这个问题也可以用CG精确地解决。结果表明,该方法有助于实现交通需求的均衡配置。
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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