UNIT 1 CLOUD COMPUTING Period
Characteristics of Cloud – Benefits – limitations – Cloud Deployment models – Cloud
service models – Infrastructure as a service (IaaS), Platform as a Service (PaaS),
Software as a Service (SaSS), Anything As a Service (XaaS) – SPI Vs. Traditional
IT Models – Cloud Date Centers
6
Ex.No Name of the Experiment
1. Create a professional portfolio using Google Slides.
6
2.
Use Google Drive as Storage a s a Service to Store, Organize, Share
and Collaborate
UNIT 2 VIRTUALIZATION
Virtualization, Hypervisors, Types of hypervisors. Virtualization techniques – para
virtualization – full virtualization, – hardware assisted virtualization – hybrid
virtualization
6
Ex.No Name of the Experiment
3.
Install Virtualbox/VMware Workstation with different flavours of linux
or windows OS on top of existing OS. 6
4. Setting up a Java development Virtual Machine with VirtualBox.
UNIT 3 WEB SERVICES AND CLOUD SERVICE PROVIDERS
Web Services and its types, Google compute engine, Google App Engine, Amazon
– Amazon Elastic Compute Cloud – Amazon Simple DB – Amazon Simple Storage
Service (S3) – Amazon Cloud Front.
6
Ex.No Name of the Experiment
5.
Install a PaaS Engine (Google App Engine / AWS / Azure or any one
PaaS Engine) and create simple web applications using python/java
6
UNIT 4 SECURITY IN THE CLOUD
Storage Location and Tenancy – Cloud Security Challenges – CSA Reference Model
– Security Policies and Implementation – Virtualization Security Management
6
Ex.No Name of the Experiment
6. Protect Google Sheets and Range with various access permissions. 6
UNIT 5 CLOUD COMPUTING APPLICATIONS
Adobe Creative Cloud Firefly design models – Hub repository basics – Linkedin
Benefits – Zoho Work Drive Features – Storage Concept of Google Big table
6
Ex.No Name of the Experiment
7. Setup a GitHub account and develop a simple python application
6
8.
Create a column family with an age-based garbage-collection policy in
Google Bigtable
TOTAL PERIODS 60