| Teaching Staff
|
Dr. Öğr. Üyesi Mehmet Ali ÇİNİCİ |
| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Elective |
| Prerequisites |
|
| Recommended Optional Programme Component |
Teaching consists of lectures, questions and answers, seminars, partial applications, practical studies and case studies (data center models). Practical work is done in groups or individually. It is compulsory to attend some events. |
| Course Objectives |
This course will provide students with a broad overview of data center technology. In this context, extensive information will be given about data center technologies, data center components (facilities, cooling, power, management, computers, networks, operating systems, applications, security, security, etc.), their interactions and interdependencies. It is aimed to equip students with the competencies of data center infrastructure, operations and best management practices. |
| Course Content |
Data Centers, an important element of the Internet and cloud infrastructure, are data networks that provide data services worldwide. All major service providers, storage, computing, data exchange, etc. uses data center and cloud platforms for This course covers the basics of data centers and cloud computing and offers limited application opportunities. Topics to be discussed include data center and cloud platform architecture, data center network designs, software defined networks (SDN), virtualization technologies, data center security, data traffic engineering, resource management, and green data centers. Students are expected to learn various tools used in data centers, software-defined networks, and cloud computing. |
| Learning Outcomes (LO) |
Students who successfully complete this course will be able to:
LO.1: To explain the components and functions of the data center and cloud infrastructure;
LO.2: To be able to explain the basic concepts of cloud storage in data centers and to show their use in storage systems.
LO.3: To know different service models such as SaaS, PaaS, IaaS, FaaS etc.;
LO.4: To be able to define, analyze and compare various data center and cloud computing models and strategies and to know how their security is ensured;
LO.5: Outline the system, network and storage / server virtualization and their role in enabling the data center model;
LO.6: To be able to define software defined data center and virtual networks;
LO.7: To be able to specify the properties and functions of different storage protocols such as FC, FCoE, iSCSI, NFS;
LO.8: To be able to explain the basic concepts of data center infrastructures to understand preferences in power, efficiency and cost, and then express how to utilize and manage single and multiple data centers to create and deploy flexible and cost-effective cloud applications; |
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
Cloud Computing Overview |
| 2. Week |
Cloud Architecture - Layers and Models |
| 3. Week |
Data Center Strategies, Models, Infrastructures and Management |
| 4. Week |
Networking, Local Area Network (LAN) Architectures and Topologies for a Data Center |
| 5. Week |
Storage, Backup, Recovery and Replication in Data Centers |
| 6. Week |
Resource Management, Monitoring, Load Balancing and Data Flow Systems in Data Centers |
| 7. Week |
Data Center Facility Operations |
| 8. Week |
MIDTERM EXAM |
| 9. Week |
Software Defined Networks (SDN) and Software Defined Storage (SDS) |
| 10. Week |
Energy Efficiency and Cooling in Data Centers |
| 11. Week |
Network Virtualization |
| 12. Week |
Parallel/Distributed Programming for the Cloud |
| 13. Week |
Security in Data Centers |
| 14. Week |
Cloud Databases and Edge Computing |
|
| Assessment |
| |
Percentage(%) |
| Mid-term (%) |
40 |
| Quizes (%) |
|
| Homeworks/Term papers (%) |
|
| Practice (%) |
|
| Labs (%) |
|
| Projects/Field Work (%) |
|
| Seminars/Workshops (%) |
|
| Final (%) |
60 |
| Other (%) |
|
| Total(%) |
100 |
|
| Course Book (s) and/or References |
1. Hwaiyu Geng (2015). Data Center Handbook. Wiley.
2. Dan C. Marinescu (2017). Cloud Computing: Theory and Practice (2nd Ed.). Morgan Kaufmann.
3. Curtis Franklin & Brian J. S. Chee (2019). Securing the Cloud: Security Strategies for the Ubiquitous Data Center. CRC Press. |
| Work Placement(s) |
|
| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
| | PQ.1 | PQ.2 | PQ.3 | PQ.4 | PQ.5 | PQ.6 | PQ.7 | PQ.8 | PQ.9 | PQ.10 | LO.1 | | | | | | | 4 | 2 | | 3 | LO.2 | | | | 4 | 3 | | 4 | 2 | 4 | 3 | LO.3 | | | 4 | | | | 4 | 2 | | 3 | LO.4 | | 2 | | 3 | 5 | | 4 | 2 | 5 | 3 | LO.5 | | | 3 | 5 | | | 4 | 2 | | 3 | LO.6 | | 3 | | 5 | | | 4 | 2 | | 3 | LO.7 | | | | | | | 4 | 2 | | 3 | LO.8 | | | | | | | 4 | 2 | | 3 |
|