ECTS - Cloud Computing and Virtualization

Cloud Computing and Virtualization (CMPE433) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Cloud Computing and Virtualization CMPE433 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to provide information about Cloud Computing and virtualization. The course gives fundamentals of Cloud and Virtualization from both business and technology perspective. Creating multiple instances on a single physical system, and the types of virtualization being used in cloud computing, such as OS, server, storage, network virtualization, will be examined in detail. Furthermore, business benefits, costs and security implications of Cloud Computing and virtualization will also be addressed.
Course Learning Outcomes The students who succeeded in this course;
  • Describe the concept of Cloud Computing and the supporting technologies behind.
  • Describe the benefits and costs of Cloud Computing and virtualization
  • Describe hypervisors, paravirtualization, full virtualization and hardware support for virtualization.
  • Gain knowledge and skills to create and use multiple Virtual Machine instances on Cloud and bare-metal environment.
  • Describe the security implications of Cloud Computing and virtualization.
Course Content Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Fundamentals of Cloud Computing Chapter 1 (Text book 1)
2 Building Blocks Chapter 2 (Text Book 1)
3 Service and Deployment Models Chapter 1 & 2 (Text Book 1)
4 Business Benefits Chapter 3 (Text Book 1)
5 Key enabler technology : Virtualization Chapter 1 & Chapter 2 (Text Book 2)
6 Virtual Machine and Hypervisors Part 1 & Internet Resources (Text Book 2)
7 Full-Virtualization, Para-Virtualization, Leightweight Virtualization Internet resources
8 Network Virtualization Reference Book 1, Chapter 1
9 Storage Virtualization Chapter 11 (Text Book 2)
10 Server Virtualization Chapter 9 (Text Book 2)
11 Business Benefits and Costs of Virtualization Chapter 12, 13 (Text Book 2)
12 Moving to Virtualized Data Center Chapter 16 (Text Book 2)
13 Migrating from Virtualized Data Center to Cloud Environment Chapter 5 (Text Book 1)
14 Security Implications Chapter 14 and & Internet Resources (Text Book 2)

Sources

Course Book 1. The Definitive Guide to Cloud Computing Author : Dan Sullivan
2. Practical Virtualization Solutions: Virtualization from the Trenches, Kenneth Hess & Amy Newman, ISBN-10: 0137142978 ISBN-13: 9780137142972
Other Sources 3. SDN and NFV Simplified Jim Doherty

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 40
Toplam 4 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply knowledge of mathematics, science, and engineering.
2 An ability to design and conduct experiments, as well as to analyse and interpret data.
3 An ability to design a system, component, or process to meet desired needs.
4 An ability to function on multi-disciplinary domains.
5 An ability to identify, formulate, and solve engineering problems.
6 An understanding of professional and ethical responsibility.
7 An ability to communicate effectively.
8 Recognition of the need for, and an ability to engage in life-long learning.
9 A knowledge of contemporary issues.
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
11 Skills in project management and recognition of international standards and methodologies
12 An ability to produce engineering products or prototypes that solve real-life problems.
13 Skills that contribute to professional knowledge.
14 An ability to make methodological scientific research.
15 An ability to produce, report and present an original or known scientific body of knowledge.
16 An ability to defend an originally produced idea.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project 1 20 20
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 125