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Cloud-Computing-Technology

Evgeniy Avdeev (j-avdeev@yandex.ru)

Course Outline

  1. Introducing the terminology |
  • Stages of IT infrastructure development.
  • SaaS, PaaS, IaaS service models.
  • Public cloud. Private cloud. Hybrid "cloud". Advantages and disadvantages.
  1. Systems and data storage networks.

  2. SAN topologies.

  3. Virtualization models. Full virtualization. Para-virtualization.

  4. Kernel-based virtualization. Application virtualization

  5. Virtualization of workplaces. Overview of virtualization platforms.

  6. Web-application. Virtual machines Application.

  7. Platform Windows Azure. Creation of a new project Cloud Service. Windows Azure Storage. Windows Azure Tables. Entities Tables. DataServiceContext. Azure Blob Services

  8. Office Live Workspace. Office Web Apps. Microsoft Word Web Apps. Microsoft Excel Web Apps. SkyDrive. Office 365.

  9. Service Runtime. DFUI interface. Configuring an Azure project.

  10. REST requests. Windows Azure Queue.

  11. VMWare. Citrix.

  12. Network models of "cloud" services.

  13. Design and development of cloud services.

Course Outcomes

After completing the course, the students should be able to:

  • work with bash;
  • work with AWS: EC2;
  • work with containerization tools (Docker).

Lectures

References

AWS Training and Certification https://aws.amazon.com/training/?nc1=h_ls

Textbooks:

Course Evaluation

Assignments:      100%
Final Exam:       0%
Total:            100%

Assignment Deadlines 'Autumn 2020

1 AWS-Amplify 2 AWS-EC2 3 AWS-Serverless 4 AWS-RDS DMS 5 Azure 6 Alexa
Soft Deadline (50% reduction if missed) 03.10.2020 17.10.2020 14.11.2020 28.11.2020 12.12.2020 19.12.2020
Hard Deadline (100% reduction if missed) 10.10.2020 24.10.2020 28.11.2020 12.12.2020 19.12.2020 till exam

Results Table: https://docs.google.com/spreadsheets/d/1ndsS0yWOzOXhIr2P_w-Mo7weMWg3imy_oJdqukGr0eE/edit?usp=sharing

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