Energy efficiency in virtual environments

Energy efficiency in virtual environments

1.

Subject title

Energy efficiency in virtual environments

Енергетска ефикасност во виртуелни околини

2.

Code

m23_s_010

3.

Study program

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

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Анастас Мишев проф. д-р Дејан Спасов проф. д-р Соња Филипоска

9.

Prerequisites for enrollment

10.

Subject goals and competencies:


This course will introduce students to the needs and techniques to reduce consumption The energy and emissions of harmful gases in modern IT envenons. The student will be able to Design efficient and energy -saving virtual environments and data centers.

11.

Subject content:


Energy saving solutions. Energy efficiency measurement methodologies. Measures and Energy efficiency metrics. Thermal and energy monitoring. Energy efficiency to the hadder. Management of power consumption of servers in the data center. Calculating in the cloud as an environmental and saving future of IT. Disadvantages of the cloud. Energy efficient distribution of resources. IT equipment optimization with server virtualization. Advantages and challenges of Virtualization for Green data center. SEO environmental, air, cooling. Modern cooling methods. Modeling and Energy efficient data center design. Developing Business Plan for Environmental Virtualization.

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 + 15 + 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

15 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

6249

Greg Schulz

The Green and Virtual Data Center

CRC Press

2009

6250

Mickey Iqbal, Mithkal Smadi, Chris Molloy, Jim Rymarczyk

IT Virtualization Best Practices: A Lean, Green Virtualized Data Center Approach

MC Press Online

2010

22.2.

Additional literature

No.

Author

Title

Publisher

Year