FINAL EXAM FEB 2023

• IOT device architecture : sensors/ smart objects -> wired/wireless -> gateways/ router -> cloud/ internet -> server
• IOT Evolution : pre-internet -> internet of contents -> internet of service -> internet of people -> internet of things
• Analytics 3.0 ?

  Data streaming at the edge. ex : business and services intelligence
• how to run node red on a browser on the same computer?

  if you are using a browser on the same computer that is running Node-Red, you can access it with the url https://localhost:1880
• how to run node red on another computer?

  if you are using on another computer, you will need to use the ip address of the computer running Node-red http://<ip-address>:1880
• difference of TCP and UDP?

  • TCP : 1. built-in reliability, mechanism to recover lost packets 2. control of the maximum size of its packets
  • UDP : 1. well suited for traffic with low reliability demand 2. low overhead for header size and protocol logic
• broker in MQTT functions as?

  The broker is public server which serves both publisher and subscriber. if broker is missing, the topic from publisher are unable to send it to subscriber.
• difference between MQTT and HTTP?

  • MQTT transfer data as a byte array, which is more lightweight
  • HTTP is document centric which consumes a lot of network bandwidth and is also a more sophisticated protocol.
• 5 essential characteristics cloud computing?

  • on demand self service : users automatically access computing resources
  • broad network access : services available over the network can be accessed using mobile phones, tablet, laptop and desktops
  • resource pooling : computing resources can be pooled to serve multiple customers at the same time
  • rapid elasticity : ability to quickly scale in/ out service with demand at any time
  • measured service : control, optimized services based on metering
• IaaS (Infrastructure as a Service)

  • Virtualization
  • servers
  • storage
  • networking
• difference between Big Data and IOT?

  Big Data : analyzing large amounts of mostly human-generated data to support longer use cases

  IOT : aggregating and compressing massive amounts of low latency/ low duration/ high volume machine-generated data to support real time use cases
• Prescriptive :

  • recommended actions and strategies based on champion/ challenger testing strategy outcomes
  • applying advanced analytical techniques to make specific recommendations