Cloud and Data Center Technologies
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Cloud and Data Center Technologies Syllabus — Unit-wise Content
The official GTU curriculum for Cloud and Data Center Technologies (subject code 4361602) as prescribed for Biomed · Semester 6 divides the course into 4 units, covering 59 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (4361602)Unit 1 Introduction to Cloud Computing
- 1.1. Defining Cloud Computing
- 1.2. Roots of Cloud Computing
- 1.2.1. Mainframes to cloud
- 1.2.2. Grid and Utility computing
- 1.2.3. Hardware virtualization
- 1.3. The Cloud Service Models
- 1.3.1. Cloud Architecture and Platforms
- 1.4. Layers and Types of Clouds
- 1.4.1. Deployment Model
- 1.4.2. Private cloud, Public cloud and Hybrid cloud
- 1.5. Desired Features of a Cloud
- 1.6. Pros and Cons of Cloud computing
- 1.7. Applications of cloud computing
Unit 2 Virtualization and Hypervisors
- 2.1. Introduction to Cloud virtualization
- 2.2. Characteristics of virtualization
- 2.3. Cloud Virtualization Basics
- 2.3.1. Hardware virtualization
- 2.3.2. Software Virtualization
- 2.3.3. Full virtualization
- 2.3.4. Para virtualization
- 2.3.5. Partial virtualization
- 2.3.6. Operating system level virtualization
- 2.4. Types of virtualization
- 2.4.1. Programming level
- 2.4.2. Application level
- 2.5. Hypervisors and Virtual Machines
- 2.5.1. Introduction to Hypervisors (Type 1 and Type2)
- 2.5.2. Creating and managing Virtual Machines
- 2.6. Virtualization of Clusters and data centers automation Cloud and Data Center Technologies Course Code: 4361602
Unit 3 Data Center Architecture
- 3.1. Data Center Fundamentals
- 3.1.1. Historical perspective and evolution
- 3.1.2. Key components of a data center
- 3.2. Data Center Networking
- 3.2.1. Data center network topologies
- 3.2.2. SDN (Software-Defined Networking) in data center
- 3.3. Data Center Automation and Scaling
- 3.3.1. Automation in Data Centers
- 3.3.2. Infrastructure as Code (IaC) and automation tools
- 3.3.3. Scalability and elasticity in cloud data centers Unit-4 Cloud Storage and Database Services
- 4.1. Cloud Storage Solutions
- 4.1.1. Object storage, block storage, and file storage in the cloud
- 4.1.2. Data consistency and durability
- 4.2. Cloud Databases
- 4.2.1. Types of cloud databases (SQL, NoSQL)
- 4.2.2. Data scaling and replication Unit-5 Cloud Security and Compliance
- 5.1. Security in the Cloud
- 5.1.1. Cloud security challenges
- 5.1.2. Identity and access management
- 5.1.3. Access control and authentication in cloud computing
- 5.2. Data Security in Cloud
- 5.2.1. Technologies for Data security in Cloud
- 5.3. Securing Private and Public Cloud Architecture
- 5.3.1. Metrics for Service Level Agreements(SLAs)
Unit 4 Emerging Technologies with Cloud Computing
- 6.1. Serverless Computing
- 6.2. Edge and Fog Computing
- 6.3. AI and Machine Learning with Cloud Computing
- 6.4. Distributed Ledger Technology (DLT) with Cloud Computing
- 6.5. 5G and Cloud-Native Networking
- 6.6. Kubernetes and Containers Only the major Underpinning Theory is formulated as higher-level UOs of Revised Bloom’s taxonomy in order development of the COs and competency is not missed out by the students and teachers. If required, more such higher-level UOs could be included by the course teacher to focus on the attainment of COs and competency. Note: The UOs need to be formulated at the ‘Application Level’ and above of Revised Bloom’s Taxonomy’ to accelerate the attainment of the COs and the competency. Cloud and Data Center Technologies Course Code: 4361602
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