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Congestion-Aware and Energy-Aware Virtual Network Embedding
IEEE/ACM Transactions on Networking ( IF 3.0 ) Pub Date : 2019-12-30 , DOI: 10.1109/tnet.2019.2958367
Minh Pham , Doan B. Hoang , Zenon Chaczko

Network virtualization is an inherent component of future internet architectures. Network resources are virtualized from the underlying substrate and elastically provisioned and offered to customers on-demand. Optimal allocation of network resources in terms of utilization, quality of service, and energy consumption has been a challenge. Existing solutions consider congestion control in a single-objective virtual network embedding (VNE) problem. This paper defines a multiple-objective VNE problem called the congestion-aware, energy-aware VNE (CEVNE). The aim is to seek a solution that saves cost, saves energy and avoids network congestion simultaneously. CEVNE modelling techniques and solution approaches apply both the weighting method and the constraint method to search for pareto-optimal solutions that produce the best compromised solutions for all three objectives. Solving VNE problem is, however, NP-hard. A heuristic solution is proposed involving a two-stage coordinated CEVNE. The node-mapping algorithm searches for the sub-optimal solutions for three objectives. The link mapping process is an SDN-based heuristic algorithm that deploys a path service and a resource monitoring application on an SDN controller. The solution is realized using SDN, Segment Routing, and open network operating system platform (ONOS) technologies. The energy minimization is implemented with a registry that keeps track of active nodes and sets inactive nodes to sleep mode. The evaluation results showed that the multiple-objective CEVNE approach is feasible and achieves its goals of optimizing the resource allocation, improving the runtime, saving the energy consumption and controlling the network congestion.

中文翻译:

拥塞感知和能量感知虚拟网络嵌入

网络虚拟化是未来互联网体系结构的固有组成部分。网络资源是从底层基板虚拟化的,可以按需弹性配置和提供给客户。在利用率,服务质量和能源消耗方面优化网络资源分配一直是一个挑战。现有解决方案在单目标虚拟网络嵌入(VNE)问题中考虑了拥塞控制。本文定义了一个多目标VNE问题,称为拥塞感知,能量感知VNE(CEVNE)。目的是寻求一种节省成本,节省能源并同时避免网络拥塞的解决方案。CEVNE建模技术和解决方案方法同时应用了加权方法和约束方法来搜索可为所有三个目标产生最佳折衷解决方案的对等最优解决方案。但是,解决VNE问题非常困难。提出了一种涉及两阶段协调CEVNE的启发式解决方案。节点映射算法搜索三个目标的次优解。链接映射过程是基于SDN的启发式算法,可在SDN控制器上部署路径服务和资源监视应用程序。该解决方案是使用SDN,段路由和开放网络操作系统平台(ONOS)技术实现的。使用注册表实现能耗最小化,该注册表可跟踪活动节点并将非活动节点设置为睡眠模式。
更新日期:2020-02-18
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