Lab 5: Crossbar.io & Paho

Lab 5: Crossbar.io & Paho

Lab A: Crossbar.io

Crossbar.io is an open source networking platform for distributed and microservice applications. It implements the open Web Application Messaging Protocol, a useful tool when networking between IoT devices. In this lab, a simple template program is generated with crossbar.io - the node is activated and the application is sampled in the browser. Note - a facebook favicon was used in this lab, as the favicon file referenced in the lab powerpoint was not provided.

1. Necessary dependencies were installed on the machine (Figure 1)
2. Crossbar and Autobahn were installed with pip package manager (Figure 2)
3. The Hello app was created with the crossbar command line tool (Figure 3)
4. The crossbar node was ran from the command line (Figure 4)
5. The landing page for our crossbar app, found when visiting http://127.0.0.1:8080/ from an incognito window (Figure 5)
6. The "frontend" and "backend" pages generated by the crossbar app, with accompanying JS console output (Figure 6)

Figure 1: Installing necessary dependencies for the Crossbar.io lab

Figure 2: Installing crossbar.io and autobahn (version 18.4.1)

Figure 3: Creating the Hello app from crossbar command line tool

Figure 4: Running the crossbar node

Figure 5: Browser landing page for the Hello crossbar application

Figure 6: Frontend and Backend pages, with javascript console output shown

Lab B: Paho

The Eclipse Paho project provides open-source client implementations of MQTT and MQTT-SN messaging protocols aimed at new, existing, and emerging applications for the Internet of Things (IoT). To test this system, several libraries were installed and several demo programs were executed below

1. Mosquitto was installed on the machine (Figure 7)
2. Mosquitto service was polled and confirmed to be running (Figure 8)
3. mosquitto_sub & mosquitto_pub functions were executed (Figure 9)
4. Paho was installed on the machine (Figure 10)
5. Provided sample programs client.py, sub.py, pub.py, sub-multiple.py, and pub-multiple.py were ran (Figure 11)
6. pubraspi.py, subraspi.py, and system_into.py moved to Demo folder and executed (Figure 12)

Figure 7: Mosquitto was installed on the machine

Figure 8: Mosquitto service found to be running

Figure 9: Mosquitto_sub and mosquitto_pub commands were executed

Figure 10: Paho was installed on the machine

Figure 11: Provided sample programs were run

Figure 12: Final python demo programs are executed