Cloud and Data Center Technology
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Follow on Instagram for UpdatesCloud and Data Center Technology Syllabus — Unit-wise Content
The official GTU curriculum for Cloud and Data Center Technology (subject code DI05016031) as prescribed for Biomed · Semester 5 divides the course into 6 units, covering 10 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 (DI05016031)Unit 1 Introduction to cloud computing
- 1.1 Trends in computing 1.1.1 Distributed Computing 1.1.2 Grid Computing 1.1.3 Cluster Computing 1.1.4 Utility Computing 1.1.5 Cloud Computing 1.2 Define Cloud Computing 1.2.1 Define cloud computing 1.2.2 Characteristics of Cloud Computing 1.2.3 Roots of cloud computing 1.3 Cloud Service Model 1.3.1 Cloud Architecture and Platforms 1.3.2 IaaS 1.3.3 Paas 1.3.4 SaaS 1.4 Deployment Models 1.4.1 Private cloud 1.4.1 Community cloud 1.4.1 Public cloud 1.4.1 Hybrid cloud 1.5 Desired Features of a Cloud Teaching Scheme (in Hours) Total Credits L+T+ (PR/2) Assessment Pattern and Marks Total Marks L T PR C Theory Tutorial / Practical ESE(E) PA(M) PA(I) ESE(V) 3 0 2 4 70 30 20 30 150 Program Name: Diploma Engineering Level: Diploma Branch: Information Technology Subject Code: DI05016031 Subject Name: Cloud and Data Center Technology 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 and overview of virtualization 2.3 Types of Cloud Virtualization 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 Hypervisors and Virtual Machines 2.4.1 Introduction to Hypervisors(Type 1 and Type2) 2.4.2 Creating and managing Virtual Machines 2.5 Virtualization of Clusters and data centers automation
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 Program Name: Diploma Engineering Level: Diploma Branch: Information Technology Subject Code: DI05016031 Subject Name: Cloud and Data Center Technology 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
- 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) 5.3.2 DevSecOps
Unit 6 Emerging Technologies with Cloud Computing
- 6.1 Mobile cloud computing (MCC) 6.2 Sensor and IOT cloud 6.3 Serverless Computing 6.4 Edge and Fog Computing 6.5 AI and Machine Learning with Cloud Computing 6.6 Distributed Ledger Technology (DLT) with Cloud computing 6.7 5G and Cloud-Native Networking 6.8 Kubernetes and Containers
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