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SDN-Enabled Energy-Efficient Routing Optimization Framework for Industrial Internet of Things

机译：支持SDN的能源效率路由优化框架，用于工业互联网

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摘要

The traditional Internet architecture relies on the best-effort principle, which is not suitable for critical industrial Internet of Things (IIoT) applications such as healthcare systems with stringent quality-of-service (QoS) requirements. In this article, a software-defined network (SDN) based on an analytical parallel routing framework is proposed by using the massive processing power of a graphics processing unit (GPU) for dynamically optimizing multiconstrained QoS parameters in the IIoT. The framework considers three types of QoS applications for smart healthcare traffic: loss-sensitive, delay-sensitive, and jitter-sensitive. A QoS-enabled routing optimization problem is formulated as a max-flow min-cost problem, while a greedy heuristic that dispatches the path calculation task concurrently to the GPU for calculating optimal forwarding paths considering the QoS requirement of each flow is proposed. The results show that the proposed scheme efficiently utilizes the limited bandwidth cost in terms of energy and bandwidth while satisfying the QoS requirement of each flow with maximizing the network resources for future IIoT traffic flows. Comparative analysis of simulation results with shortest path delay, Lagrangian relaxation-based aggregated cost, and Sway schemes indicate a reduced violation in the service-level agreement by 17%, 19%, and 4%, respectively, by using the AttMpls topology, while it is 48%, 44%, and 7% when the Goodnet topology is used. Moreover, SEQOS is seen to be energy efficient and eight times faster than the benchmark algorithms in large IIoT networks.
机译：传统的互联网架构依赖于最佳原则，这不适合关键的工业互联网（IIT）应用程序，例如具有严格的服务质量（QoS）要求的医疗保健系统。在本文中，通过使用图形处理单元（GPU）的大量处理能力提出了一种基于分析并行路由框架的软件定义的网络（SDN），用于在IIOT中动态优化多元QoS参数。该框架考虑了三种类型的QoS应用程序，用于智能医疗保健流量：丢失敏感，延时敏感和抖动敏感。启用QoS的路由优化问题被制定为最大流量最小成本问题，而提出了考虑每个流的QoS要求，将路径计算任务同时调度路径计算任务的贪婪启发式，以考虑每个流的QoS要求。结果表明，该方案有效地利用了能量和带宽方面的有限带宽成本，同时满足每个流程的QoS要求，最大化未来IIOT交通流动的网络资源。对仿真结果的比较分析以及最短的路径延迟，拉格朗日放松的聚合成本，以及摇摆计划的表明，通过使用ATTMPLS拓扑，分别将服务级别协议的违规行为减少17％，19％和4％在使用良品拓扑时，它为48％，44％和7％。此外，SEQOS被视为能量效率，并且比大型IIOT网络中的基准算法快8倍。

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