COURSE INFORMATION
Course Title: INTRODUCTION TO CLOUD COMPUTING
Code Course Type Regular Semester Theory Practice Lab Credits ECTS
CEN 856 C 99 3 2 0 4 7.5
Language: English
Compulsory/Elective: Elective
Classroom and Meeting Time:
Course Description: -
Course Objectives: Cloud computing leverages the World Wide Web to fulfill computing needs. It packages applications, computing power, and storage as a metered service similar to a utility. This model is designed to supplant the traditional mechanism of desktop computing in many cases. This course will cover the origin, theory, enabling technology, and tools for key concepts in cloud computing
COURSE OUTLINE
Week Topics
1 What is Cloud Computing, Basic Concepts and Terminologies, Cloud Computing History.
2 Cloud Fundamentals: Cloud Characteristics, Cloud Delivery Models, Cloud Deployment Models, Goals and Benefits, Risks and Challenges.
3 Cloud Enabling Technology I: Internet and Networks, Data Centers,Virtualization, Web Technology.
4 Cloud Infrastructure I: Virtual Server, Resource Virtualization, Resource Pooling and Sharing , Cloud Storage, File System, Database Technology.
5 Load Balancing, Scalability& Elasticity, Replication, Monitoring, Software Defined Networks (Cloud Mechanisms I).
6 Network Function Virtualization, MapReduce, Identity & Access Management, Service Level Agreement (Cloud Mechanisms II)
7 Hypervisor Clustering, Service Relocation, Dynamic Failure Detection and Recovery Architecture (Cloud Mechanisms III)
8 Amazon Web Services (AWS), Microsoft Azure, Google Cloud (Cloud Service I)
9 Application Services, Content Delivery Services, Analytics Services, Deployment & Management Services (Cloud Service II)
10 Cloud Programming
11 Basics, Security Threats and Issues (Cloud Security I)
12 Encryption, Hashing, Digital Signature, PKI, (Cloud Security II)
13 Mobile Cloud Computing and Internet of Things (Advance topics)
14 Vehicular Cloud and Edge Computing (Advance topics)
Prerequisite(s): Graduate standing in Computer Science, Computer Engineering, or Electrical Engineering. Students are expected to be familiar with: computer architecture, communication and networking, computer security, and programming (C, python, Java).
Textbook: "Cloud Computing: Concepts, Technology & Architecture" by Thomas Erl, Ricardo Puttini, Zaigham Mahmood. Prentice Hall; 1 edition (May 20, 2013). ISBN-13: 978-0133387520 • "Cloud Computing" by Sandeep Bhowmik. Cambridge University Press; 1 edition (July 4, 2017). ISBN-13: 978-1316638101
Other References:
Laboratory Work:
Computer Usage:
Others: No
COURSE LEARNING OUTCOMES
1 Understand various basic concepts related to cloud computing technologies.
2 Understand the architecture and concept of different cloud models: IaaS, PaaS, SaaS.
3 Understand the underlying principle of cloud virtualization, cloud storage, data management and data visualization.
4 Understand different cloud programming platforms and tools.
5 Be familiar with application development and deployment using cloud platforms.
6 Create application by utilizing cloud platforms such as Google app Engine and Amazon Web Services (AWS).
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution)
No Program Competencies Cont.
Doctorate (PhD) in Computer Engineering Program
1 Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice. 5
2 Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations 5
3 Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects. 5
4 Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies. 5
5 Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions. 5
6 Ability of identifying the potential resources for information or knowledge regarding a given engineering issue. 4
7 The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence. 4
8 Ability for effective oral and official communication skills in foreign language. 4
9 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology. 4
10 Engineering graduates with well-structured responsibilities in profession and ethics. 3
11 Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues. 2
12 Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity. 2
COURSE EVALUATION METHOD
Method Quantity Percentage
Presentation
1
30
Project
1
70
Total Percent: 100%
ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)
Activities Quantity Duration(Hours) Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 14 6 84
Mid-terms 0
Assignments 1 40 40
Final examination 0
Other 1 15.5 15.5
Total Work Load:
187.5
Total Work Load/25(h):
7.5
ECTS Credit of the Course:
7.5