This repository contains some code examples I proposed as Teaching Assistant during the laboratory part of the course Wireless Networks (cod. 918II) at Università di Pisa, in the academic years from 2019/2020 to 2021/2022. In the academic years 2019/2020 and 2020/2021, the laboratory lectures were shared with the course "Progetto di Reti Wireless e Servizi Multimediali" (cod. 558II) at Università di Pisa. Also, in the academic year 2021/2022, the laboratory was shared with the course "Wireless Network Design" (cod. 1041I) at Università di Pisa. This laboraotry course targets students attending the Master Degree in Computer Science and Networking and the Master Degree in Telecommunication Engineering at Università di Pisa.

Relevant topics proposed are: Software Defined Networking (SDN), Network Function Virtualization (NFV), Multi-Access Edge Computing (MEC), Cloud and Edge computing, Service-Oriented Architectures (SOA), virtualization approaches (hypervisors, virtual machines (VMs), containers), RedHat OpenStack, Oracle VM VirtualBox, Docker, Kubernetes.

The most updated version of the course material can be found at Wireless Network Design (2021/2022), in the Teaching section of my web page.

In order to run the examples, you first need to install the following dependencies:

• docker (get docker)
• docker-compose (install docker-compose)
• kubernetes (install learning environment on a local machine)

• Simple single-component application created with docker. The program logic is implemented as a bash script using fortune and cowthink programs. fortune is put in pipeline with cowthink. Hence, the pseudorandom message from a database of quotations produced by fortune appears in the cow thought bubbles.

• Multi-component application created with docker and docker-compose. The application logic results from the interaction of two services: one implementing a very simple web application, and the other storing the value of a visitor counter, incremented every time someone visits (reloads) the page. The web application component logic is implemented using JavaScript and the Express framework. The database component is implemented as a Redis key-value storage.

• Multi-component application created with docker, docker-compose and docker volumes. This application is an extended version of the previous example, where a volume is used for implementing data persistence.

• Execute the application by running the script run.sh inside the simple-docker-app exercise folder, or have a look at the README.

• Execute the application by running the script run.sh inside the composed-docker-app exercise folder. You can access the application from your browser at http:https://localhost:4001. You can stop the application and remove the created containers by running the script stop.sh in a second terminal window from the same folder. You can also have a look at the step-by-step instructions in the README.

• Execute the application by first creating a Docker volume as docker volume create --name=composed-docker-app-volume_redis-db-data, and then running the script run.sh inside the composed-docker-app-volume exercise folder. You can access the application from your browser at http:https://localhost:4001. You can stop the application and remove the created containers by running the script stop_and_remove.sh in a second terminal window from the same folder. If you run the application again, the last value of the visits counter will be retrieved from the volume, where it has been permanently stored during the previous execution. You can also have a look at the step-by-step instructions in the README.