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.

Service Function Chaining (SFC) is regarded as an important concept for next-generation communication networks because it can flexibly tackle diverse usage scenarios. Due to SFC requests' life-cycle and resource adjustment, the distribution of the remaining physical resources may become unbalanced, which brings negative effects to subsequent SFC requests as well as network operators. In this paper, we investigate the network SFC migration problem in the core cloud under the premise of considering the migration cost and the balance of physical resource distribution. We first model the SFC migration problem as an integer linear program and propose an aggressive migration strategy that can effectively reduce the imbalance of physical resource distribution. Then, we employ two state-of-theart heuristics to allocate resources for subsequent SFC requests. The simulation results show that migrating SFC requests in the initial service queue can bring favorable feedback to subsequent requests as well as network operators. Compared to the conservative migration strategy, our proposed migration strategy can mitigate the imbalance of physical resource distribution more effectively, and thus the acceptance ratio of subsequent SFC requests, physical resources utilization, and the long-term profit of network operators can be further improved.

Through the concept of network slicing, a single physical network infrastructure can be split into multiple logically-independent Network Slices (NS), each of which is customized for the needs of its respective individual user or industrial vertical. In the beyond 5G (B5G) system, this customization can be done for many targeted services, including, but not limited to, 5G use cases and beyond 5G. The network slices should be optimized and customized to stitch a suitable environment for targeted industrial services and verticals. This paper proposes a novel Quality of Service (QoS) framework that optimizes and customizes the network slices to ensure the service level agreement (SLA) in terms of end-to-end reliability, delay, and bandwidth communication. The proposed framework makes use of network softwarization technologies, including software-defined networking (SDN) and network function virtualization (NFV), to preserve the SLA and ensure elasticity in managing the NS. This paper also mathematically models the end-to-end network by considering three parts: radio access network (RAN), transport network (TN), and core network (CN). The network is modeled in an abstract manner based on these three parts. Finally, we develop a prototype system to implement these algorithms using the open network operating system (ONOS) as a SDN controller. Simulations are conducted using the Mininet simulator. The results show that our QoS framework and the proposed resource allocation algorithms can effectively schedule network resources for various NS types and provide reliable E2E QoS services to end-users.

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