In the past, computing tasks such as word processing were not possible without the installation of application software on a user's computer. A user bought a license for each application from a software vendor and obtained the right to install the application on one computer system. Cloud computing differs from the classic client-server model by providing applications from a server that are executed and managed by a client's web browser, with no installed client version of an application required. Centralization gives cloud service providers complete control over the versions of the browser-based applications provided to clients, which removes the need for version upgrades or license management on individual client computing devices.

Topics to be covered in CLOUD COMPUTING Workshop

Day 1

1. Introduction to the cloud computing

• A short history
• Client Server Computing Concepts
• Challenges with Distributed Computing
• Introduction to Cloud Computing
• Why Cloud Computing?
• Benefits of Cloud Computing

2. Networking Basics

• Understanding Networking Concepts
• TCP/IP
• Application Protocols
• Understanding Linux Files and Network Tooling
• ifconfig
• dig
• ping
• traceroute
• netstat
• tcpdump
• resolv.conf
• ssh
• scp/rsync

Day 2 

3. Characteristics of Cloud Computing 

• API based access
• Cost
• Device independence
• Virtualization
• Multitenancy

4. Types of Cloud Computing

• Software as a Service
• Platform as a Service
• CLOUD COMPUTING – BASIC AND ADVANCED
• Infrastructure as a Service
• Other XaaS's

Day 3

5. Cloud Deployment Models

• Public Cloud
• Private Cloud
• Community Cloud
• Hybrid Cloud
• When to Choose What ?

6. Virtualizations

• Introduction to Virtualization
• Role of Virtualization in Cloud Computing
• Types of Virtualization
• Examples of Virtualization
• Benefits of Virtualization
• Virtualization terminologies
• Emulator
• Hypervisor
• Backup and Snapshotting
• Failover
• Examples of Virtualization
• VMware
• Virtualbox
• Qemu/KVM

Day 4

7. Virtualizations Hands-On

• Installing Virtual Machine Manager
• Configuration of the host machine
• Network configuration
• Creating Virtual Machines
• Allocating Resources
• Installing guest machines
• Running guest machines

8. Cloud Computing - Analyzing the Space

• Major cloud providers
• Important cloud related software

 9. Web Application Engineering in the Cloud

• DNS
• Load Balancer
• Web Servers
• Application Servers
• Scaling web and application servers
• Data stores/Cloud Storage
• Relational Databases
• NoSQL databases
• Scaling datastores
• Storing and analyzing unstructured data in the cloud
• Data Analysis and the Hadoop Ecosystem
• Eliminating SPOFs

Day 5 

10. SAAS Case Study - Google Apps for the Enterprise

• Google Apps Setup
• Google Mail
• Google Drive
• Google Apps Marketplace

 11. Amazon Web Services (AWS)

• Introduction to the AWS products
• Amazon Elastic Compute Cloud (EC2)
• Amazon Simple Storage Service (S3)
• Elastic Block Storage (EBS)
• Elastic Load Balancing (ELB)
• Amazon Relational Database Service (RDS)
• Amazon DynamoDB
• Auto Scaling
• Amazon ElastiCache

12. Case Studies - Amazon Web Services

• Building a simple web application in the cloud
• Building a community based photo/video sharing site
• Building an ad-serving site in the cloud

Eligibility: Computer Science (CS), Information Technology (IT) Engineering Branch, M.Tech, MCA, BCA Students. Students entering into 2nd Year to Final Year Students can participate in this training Program. However students from any branch can participate in this training program.

Certification Policy:

• Certificate of Merit for all the workshop participants.
• Certificate of Coordination for the coordinators of the campus workshops

Duration: 5 Days - The duration of this workshop will be five consecutive days, with 6-7 hour session each day.