An Adaptive Resource Provisioning Scheme for Industrial SDN Networks Many industrial domains face the challenge of ever growing networks, driven for example by InternetofThings and Industry 4.0. This typically comes together with increased network configuration and management efforts. In addition to the increasing network size, these domains typically are subject to adaptive load situations that pose an additional challenge on the network infrastructure.Software defined networking (SDN) is a promising networking paradigm that reduces configuration complexity and management effort in Ethernet networks. In this work, we investigate SDN in context of adaptive scenarios with QoS constraints. Our approach applies monitoring of several thresholds which automatically trigger redistribution of resources via the central SDN controller. This setup leads to an agile system that can dynamically react to load changes while the infrastructure is not overprovisioned. The approach is implemented in a lowlevel simulation environment where we demonstrate the benefits of the approach using a case study.

SoftwareDefined Networking load distribution technique for an internet service provider Abstract   Internet Service Providers (ISPs) are expected to continuously provide services without interruptions. However, planning for this activity requires a number of tasks such as forecasting clientsu0027 demand that needs to be considered in fulfilling their objectives particularly in face of calamity and traffic load variations. We present a SoftwareDefined Networking (SDN) load distribution technique for a typical ISP. We have implemented an optimization method employing linear programming to achieve this goal. A multiobjective model has been developed for this purpose. The multiple objectives are maximization of link utilization, maximization of link availability and minimization of average roundtrip time for the top visited websites by users. Furthermore, an automated load distribution system has been developed for carrying out these optimization related activities. In addition, an example is presented to illustrate traffic load distribution under different operational modes (normal, critical, and catastrophic). The findings of this study should be of great help to the service provider to better plan for load distribution between international links, and help in approving down times and maintenance windows requested by cable providers.