Subject

Advanced Topics in Cloud Computing

Course Title

Advanced Topics in Cloud Computing
Advanced cloud computing topics

Code

CC-Z-04

Study Programme

Cloud Computing

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

Second cycle

Academic year / semester

10 / Summer

Number of ECTS credits

Teacher

Magdalena Kostoska Gjorchevska, Marjan Gushev

Prerequisites for enrolling in the course

—

10.

Objectives of the course programme (competences)

This course introduces and studies current topics in cloud computing, such as the application of serverless computing, advanced algorithms, system models and techniques for monitoring and performance analysis for advanced cloud services, software-service systems, IoT and edge computing, and complex and hybrid cloud-computing systems, such as IoT systems and cloud federations as a continuous computing environment in which complex applications will be developed and executed.

11.

Course content

Overview of advanced topics in cloud computing and service computing for different domains, such as serverless computing, edge computing, cloud robotics, big data analytics, Industry 4.0, etc.
Advanced algorithms and how they are used in real-world scenarios. Examples include high availability, data partitioning, geographic multi-cloud load balancing, automatic discovery and formation of container groups, interactions between IoT and cloud, etc.
Algorithms for elasticity control in cloud computing, IoT and fog computing, and how they are used in real-world scenarios. Examples include elasticity in well-known cloud systems, elastic coordination algorithms in multi-cloud environments, elasticity algorithms for fog and NFV, etc.
Techniques and tools for monitoring cloud, IoT, cloud and fog systems. Examples include performance monitoring for an end-to-end overview, instrumentation techniques for cloud and IoT.

12.

Learning methods

Lectures, exercises, independent work, project assignments, seminar papers

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

40 + 30 + 20 + 60 + 30 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	40 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	30 hours

16.

Other forms of activities

16.1.	Project assignments	60 hours
16.2.	Independent assignments	20 hours
16.3.	Home study	30 hours

17.

Assessment method

17.1.	Tests	0 points
17.2.	Seminar paper / project (presentation: written and oral)	60 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.

Requirement for obtaining a signature and taking the final exam

completed activities 15.1 and 15.2

20.

Language of instruction

Macedonian or English

21.

Method for monitoring the quality of teaching

internal evaluation and surveys, according to the model explained above

22.

Literature

22.1.	Required literature 1.
22.2.	Additional literature No. Author Title Publisher Year