Institute of Computer Science
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  2. 2020/21 spring
  3. Cloud Computing (LTAT.06.008)
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Cloud Computing 2020/21 spring

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  • Practicals
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Practice Sessions

Practice session materials will be made publicly available on this page.

Schedule

  1. Wednesday 16:15 - 18:00 (1. group, Souvik Paul, Pelle Jakovits)
  2. Thursday 10:15 - 12:00 (2. group, Jakob Mass)
  3. Thursday 16:15 - 18:00 (3. group, Shivananda Poojara)

Consultations

Labs are supervised by:

  • Shivananda Poojara, Narva mnt 18, 3030 (poojara ät ut . ee)
  • Jakob Mass
  • Souvik Paul

We will use Slack for the running communication between students and lab supervisors. At least for the beginning of the semester, sessions will be held online. However, you must schedule attending the practice sessions at the correct time (based on your chosen lab group). If you complete the lab tasks outside the scheduled practice sessions, we can not guarantee that you will receive timely support from the lab supervisors.

If you have any issues, contact lab assistants through Slack or email.

Lab sessions

  1. Introduction to Infrastructure as a Service (IaaS) and OpenStack (10, 11 February)
  2. Containers: Working with docker (17, 18 February)
  3. PaaS: Working with Heroku (25 February, 24th is a holiday)
  4. Serverless: IBM Cloud Functions (3,4 March)
  5. NoSQL: CouchDB (10,11 March)
  6. Load Balancing with Nginx (17,18 March)
  7. Introduction to MapReduce (24,25 March)
  8. Designing MapReduce Applications (31 March,1 April)
  9. Introduction to Apache Spark DataFrames (7,8 April)
  10. Introduction data pipelines using Apache NiFi (14,15 April)
  11. Advanced Apache NiFi and Edge computing with MiNiFi (21,22 April)
  12. Introduction to Openshift (29 April)
    • Updated deadline: 6th of May, @23:59
  13. Azure Cloud services ( 5, 6 May )
    • Updated deadline: 13th of May, @23:59
  14. TOSCA service deployment modelling ( 13 May )
    • Updated deadline: 20th of May, @23:59

The lab work in this course involves a significant amount of programming. We will work with:

  • Java programming language (MapReduce lab)
  • Python programming language (Spark, PaaS and FaaS labs).
  • Linux Command line (IaaS, Load Balancing, etc.)

Grading

We encourage you to finish the lab exercises before the next lecture. However, you can submit them until Wednesday 16:00, to get 100% score.

  • Late submissions
    • 10% will be deducted per day delay
      • You can submit exercises for 50% evaluation till Wednesday of the week after (i.e. 2 weeks after the announcement of the lab)

NB! You must submit 80% of the lab solutions to qualify for Exam!

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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