Scalable Cloud Development Platforms

Scalable Cloud Development Platforms

1.

Subject title

Scalable Cloud Development Platforms

Скалабилни платформи за развој во облак

2.

Code

m23_w_013

3.

Study program

Data science in computer science and engineering, IT management, Bioinformatics, Security, Cryptography and Coding, Еducation with ICT, Eco-informatics, Inteligent Systems, Internet Technologies and cyber security, Computer Science, Statistics and Data Analytics, Software for embedded systems, Software Engineering, IT management, Bioinformatics, Security, Cryptography and Coding, Statistics and Data Analytics, Software Engineering, Cloud Computing, Cloud Computing,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Втор циклус

6.

Academic year / semester

5 / Зимски

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Боро Јакимовски проф. д-р Игор Мишковски

9.

Prerequisites for enrollment

10.

Subject goals and competencies:


This course will be able to be able to plan and develop applications on a scale -based application Cloud platforms, focusing on the most popular and most developed platforms available in public and a private cloud.

11.

Subject content:


Software Architectural Model of Platform as Service (PAAS) applications. Concepts of Scalable platforms with particular reference to: Balancing the load, elasticity, Department, replication, monitoring, identity management and access. Viewing Current cloud -based services and platforms that enable the development of scalable Cloud applications like: cloud databases, application environments, queue systems, Notification systems, content delivery systems, analytical services, etc. Review of current The most popular commercial and open systems Paas and the way of using them.

12.

Learning methods:


Предавања, вежби, самостојна работа, проектни задачи, семинарски работи

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

30 + 45 + 0 + 0 + 0 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

30 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

45 hours

16.

Other forms of activities

16.1.

Project tasks

0 hours

16.2.

Independent tasks

0 hours

16.3.

Homework

0 hours

17.

Grading method

17.1.

Tests

0 points

17.2.

Seminar work / project (presentation: written and oral)

0 points

17.3.

Activities and learning

0 points

17.4.

Final exam

0 points

18.

Grading criteria (points / grade)

up to 50 points

5 (five) (F)

from 51 to 60 points

6 (six) (E)

from 61 to 70 points

7 (seven) (D)

from 71 to 80 points

8 (eight) (C)

from 81 to 90 points

9 (nine) (B)

from 91 to 100 points

10 (ten) (A)

19.

Condition for signature and taking final exam

реализирани активности 15.1 и 15.2

20.

Language of instruction

македонски и англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

No.

Author

Title

Publisher

Year

6702

Stephen R Smoot, Nam K Tan

Cloud computing: A Hands-On Approach

CreateSpace Independent Publishing Platform

2013

6703

Dr. Kris Jamsa

Cloud Computing: SaaS, PaaS, IaaS, Virtualization, Business Models, Mobile, Security and More

Jones & Bartlett Learning

2012

6704

Lucas Carlson

Programming for PaaS

O`Reilly Media

2013

22.2.

Additional literature

No.

Author

Title

Publisher

Year