Implementation of a SCADA system in a self-composting machineThe automation of industrial processes is a current trend that seeks to improve the quality of the finished product, implementing control techniques that minimize errors that may occur in the process. To achieve this, it is sought to have a remote monitoring system, where the system can be viewed in its entirety, interact with it, access historical data, and that can alert the user when a problem occurs, all in real time.In this document, the implementation of a Supervision, Control and Data Acquisition (SCADA) software in a self-composting machine is presented. First, information was obtained to define the scope of work and prepare a proposal. Second, the necessary modifications were made so that the selected SCADA system can be implemented in the machine. After this, the monitoring screens for the user interface were developed, as well as the creation of alarms and historical data. Finally, the final tests were carried out for its continued use.The final system is characterized by solving a real requirement, in order to improve the controlled process, and that end users can obtain information from the machine and the system remotely.

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Along with the development of 5G, Network Slicing (NS) plays an important role in the application of mobile networks to meet all kinds of personalized requirements. In terms of NS concept, network operators can vertically split a physical network into multiple logically separate networks to flexibly meet Quality of Service (QoS) requirements, which are mainly represented as higher bandwidth and lower latency. In this paper, we propose a novel QoS framework of NS in 5G and beyond networks based on Software Defined Network (SDN) and Network Function Virtualization (NFV) to guarantee key QoS indicators for different application scenarios, such as enhanced Mobile Broad-Band (eMBB), massive Machine-Type Communications (mMTC) and Ultra-Reliable and Low-Latency Communications (URLLC). In this QoS framework, 5G network is divided into three parts, Radio Access Network (RAN), Transport Network (TN) and Core Network (CN) to form three types of NS with different network resource allocation algorithms. The performance evaluation in the simulation environment of Mininet shows that the proposed QoS framework can steer different flows into different queues of Open Virtual Switches (OVS), schedule network resources for various NS types and provide reliable End-to-End (E2E) QoS for users according to preconfigured QoS requirements.