CLOUD COMPUTING (BCS601)

CLOUD COMPUTING

Course Code BCS601 
CIE Marks 50
Teaching Hours/Week (L:T:P: S)3:0:2:0 
SEE Marks 50
Total Hours of Pedagogy 40 
Total Marks 100
Credits 04 
Exam Hou3rs 3
Examination type (SEE) Theory/Practical

Module-1

Distributed System Models and Enabling Technologies: Scalable Computing Over the Internet, Technologies for Network Based Systems, System Models for Distributed and Cloud Computing, Software Environments for Distributed Systems and Clouds, Performance, Security and Energy Efficiency.

Textbook 1: Chapter 1: 1.1 to 1.5

Module-2

Virtual Machines and Virtualization of Clusters and Data Centers: Implementation Levels of Virtualization, Virtualization Structure/Tools and Mechanisms, Virtualization of CPU/Memory and I/O devices, Virtual Clusters and Resource Management, Virtualization for Data Center Automation.

Textbook 1: Chapter 3: 3.1 to 3.5

Module-3

Cloud Platform Architecture over Virtualized Datacenters: Cloud Computing and Service Models, Data Center Design and Interconnection Networks, Architectural Design of Compute and Storage Clouds, Public Cloud Platforms: GAE, AWS and Azure, Inter-Cloud Resource Management.

Textbook 1: Chapter 4: 4.1 to 4.5

Module-4

Cloud Security: Top concern for cloud users, Risks, Privacy Impact Assessment, Cloud Data Encryption, Security of Database Services, OS security, VM Security, Security Risks Posed by Shared Images and Management OS, XOAR, A Trusted Hypervisor, Mobile Devices and Cloud Security

Cloud Security and Trust Management: Cloud Security Defense Strategies, Distributed Intrusion/Anomaly Detection, Data and Software Protection Techniques, Reputation-Guided Protection of Data Centers.

Textbook 2: Chapter 11: 11.1 to 11.3, 11.5 to 11.8, 11.10 to 11.14

Textbook 1: Chapter 4: 4.6

Module-5

Cloud Programming and Software Environments: Features of Cloud and Grid Platforms, Parallel and Distributed Computing Paradigms, Programming Support for Google App Engine, Programming on Amazon AWS and Microsoft, Emerging Cloud Software Environments.

Textbook 1: Chapter 6: 6.1 to 6.5

Experiments

1 Creating a Virtual Machine: Configure and deploy a virtual machine with specific CPU and memory requirements in Google Cloud.

OR

 Exploring AWS CloudShell and the AWS Cloud9 IDE

2 Getting Started with Cloud Shell and gcloud: Discover the use of gcloud commands to manage Google Cloud resources from Cloud Shell.

OR

Working with Amazon S3Orchestrating Serverless Functions with AWS Step Functions

3 Cloud Functions: Create and deploy a Cloud Function to automate a specific task based on a Cloud Storage event.

OR

Working with Amazon DynamoDB

4 App Engine: Deploy a web application on App Engine with automatic scaling enabled.

OR

Developing REST APIs with Amazon API Gateway

5 Cloud Storage: Qwikstart: Google Cloud Storage provides scalable and secure object storage for managing data, accessible via the Cloud Console or gsutil CLI.

OR

Creating Lambda Functions Using the AWS SDK for Python

6 Cloud SQL for MySQL: Discover how Google Cloud SQL for MySQL provide automated management and high availability for MySQL databases?

OR

Migrating a Web Application to Docker Containers

7 Cloud Pub/Sub: Experiment how Google Cloud Pub/Sub facilitate real-time messaging and communication between distributed applications.

OR

Caching Application Data with ElastiCache, Caching with Amazon CloudFronT, Caching Strategies

8 Multiple VPC Networks: Explore benefits of using multiple VPC networks in Google Cloud for organizing and isolating resources.

OR

 Implementing CloudFront for Caching and Application Security

9 Cloud Monitoring: Discover how Cloud Monitoring help in tracking and analyzing the performance and health of cloud resources?

OR

Orchestrating Serverless Functions with AWS Step Functions

10 Kubernetes Engine: Qwik Start: Deploy a containerized application to a Kubernetes Engine cluster.

OR

 Automating Application Deployment Using a CI/CD Pipeline

Suggested Learning Resources:

Text Books:

1. Kai Hwang, Geoffrey C Fox, and Jack J Dongarra, Distributed and Cloud Computing, Morgan Kaufmann, Elsevier 2012

2. Dan C. Marinescu, Cloud Computing Theory and Practice, Morgan Kaufmann, 2nd Edition, Elsevier 2018

3. Google Cloud Teaching Resources – LMS [for practical component]

4. AWS Cloud Developing – AWS Academy Courses [for practical component]

Reference Books:

1. Rajkumar Buyya, Christian Vecchiola, and Thamrai Selvi, Mastering Cloud Computing McGrawHill Education, 1st Edition, 2017

2. Toby Velte, Anthony Velte, Cloud Computing: A Practical Approach, McGraw-Hill Education, 2017.

3. George Reese, Cloud Application Architectures: Building Applications and Infrastructure in the Cloud, O'Reilly Publication, 1st Edition, 2009

4. John Rhoton, Cloud Computing Explained: Implementation Handbook for Enterprises, Recursive Press, 2nd Edition, 2009.