| Course Code |
CSC7312 |
| Course Title |
Advance Cloud Computing |
| Credit Hours |
3 |
| Prerequisites by Course(s) and Topics |
|
| Assessment Instruments with Weights (homework, quizzes, midterms, final, programming assignments, lab work, etc.) |
SESSIONAL (Quizzes, Assignments, Presentations) =25 %
Midterm Exam =25 %
Final Exam = 50%
|
| Course Coordinator |
Dr. Tahir Alyas |
| URL (if any) |
|
| Current Catalog Description |
This course requires knowledge of computer networking and distributed computing, and familiarity with web services, service-oriented architecture, Web 2.0, and virtualization as well as research methodology. An interest in research and good technical writing and presentation skills would also be assets for anyone taking this course. Students who are concerned about not meeting the prerequisite for this course are encouraged to contact the course coordinator before registering. |
| Textbook (or Laboratory Manual for Laboratory Courses) |
“Cloud Computing: Concepts, Technology & Architecture” Book by Ricardo Puttini, Thomas Erl, and Zaigham Mahmood; Prentice Hall/Pearson PTR |
| Reference Material |
“Cloud Computing” Book by Kris Jamsa; Jones & Bartlett Publishers |
| Course Goals |
This course provides a graduate-level comprehensive introduction to cloud computing with an emphasis on advanced topics. It is designed in a workshop format with three workshops focusing on key topics. Each workshop includes a call for papers corresponding to the main theme of the workshop, a keynote presentation to provide a conceptual background on the topic, and your paper submission and online presentation. You will develop a final paper on cloud computing to submit to a related international conference as one of the outcomes of this course. The first workshop focuses on cloud computing concepts, technological foundations, infrastructure, and architecture. The second workshop targets security and technology challenges. The third workshop concentrates on applications, implementation issues, and management and governance. The goal of the final paper is to present a new idea or innovation using cloud computing. |
| Course Learning Outcomes (CLOs): |
| At the end of the course the students will be able to: | Domain | BT Level* |
|---|
| articulate the main concepts, key technologies, strengths, and limitations of cloud computing and the possible applications for state-of-the-art cloud computing |
BT |
1 |
| explain the core issues of cloud computing such as security, privacy, and interoperability. |
BT |
1 |
| identify problems, and explain, analyze, and evaluate various cloud computing solutions. |
BT |
2 |
| * BT= Bloom’s Taxonomy, C=Cognitive domain, P=Psychomotor domain, A= Affective domain |
|
|
|
| Topics Covered in the Course, with Number of Lectures on Each Topic (assume 15-week instruction and one-hour lectures) |
| Week | Lecture | Topics Covered |
|---|
| Week 1 |
1 |
Introduction to Course |
|
2 |
Cloud Computing, Introduction |
| Week 2 |
3 |
Cloud Computing properties |
|
4 |
Role of cloud computing |
| Week 3 |
5 |
Comparison of Services AWS & Azure CSP |
|
6 |
Deployment Modes, Cloud Ecosystem |
| Week 4 |
7 |
Virtualization Types |
|
8 |
Enabling Techniques |
| Week 5 |
9 |
PaaS properties and characteristics |
|
10 |
Network Virtualization, Service Level Agreement |
| Week 6 |
11 |
PaaS Techniques |
|
12 |
Cloud Security |
| Week 7 |
13 |
SLA |
|
14 |
SaaS Properties |
| Week 8 |
1 hours |
Mid Term |
| Week 9 |
15 |
PaaS properties and characteristics |
|
16 |
Network Virtualization, Service Level Agreement |
| Week 10 |
17 |
Fundamental Cloud Architectures |
|
18 |
Advanced Cloud Architectures |
| Week 11 |
19 |
Dynamic Data Normalization Architecture |
|
20 |
Load Balanced Virtual Switches Architecture: |
| Week 12 |
21 |
Cloud Brokerage |
|
22 |
Cost Metrics and Pricing Models |
| Week 13 |
23 |
Service Resiliency Metrics |
|
24 |
Service Quality Metrics |
| Week 14 |
25 |
Computer Security Overview |
|
26 |
Confidentiality Integrity and Availability |
| Week 15 |
27 |
Cloud Security Mechanisms: Encryption |
|
28 |
High Performance Computing Cloud Applications ; Use Cases , Experiences with HPC Clouds |
| Week 16 |
29 |
Mobile-Aware Cloud Data Management and Data Retrieval |
|
30 |
Backup Vulnerabilities |
| Week 17 |
2 hours |
Final Term |
|
| Laboratory Projects/Experiments Done in the Course |
|
| Programming Assignments Done in the Course |
|
