1. Emerging technologies-
Learning Unit -6

2. Objectives Introduction to Cloud computing Virtualization
SAAS, PAAS, IAAS
Virtualization
Internet of things
Concepts of Big Data
RFID technology

3. Cloud Computing According to Wikipedia:
"Cloud computing is Internet-based computing, whereby shared resource, software, and information are provided to computers and other devices on demand, like the electricity grid.“ (

4. Types of Cloud Software as a Service (Saas)
Platforms as a Service (Paas)
Infrastructure as a Service (Iaas)

5. Cloud Computing Platform
Current Leaders
Key Players in Cloud Computing Platforms (adapted from Lakshmanan (2013))
Company
Cloud Computing Platform
Year of Launch
Key Offering
Amazon.com
AWS (Amazon Web Services)
2006
Infrastructure as a service (Storage Computing), Datasets and Content Distribution
Microsoft
Azure
2009
Application platform as a service (.Net, SQL data services )
Google
Google App. Engine
2008
Web Application Platform as Service
IBM Salesforce.com
Blue Cloud Force.com
Proprietary 4GL Web application as an demand platform

6. Trends of Cloud Computing

7. Examples…
Google Sites, Google Docs, Google Calendar, Google Chat…

9. Cloud Storage Comparison
Storage Service Comparison on a Annual Basis
Service Provider
Free
First Payment tier
Second Payment tier
Amazon
5GB
20GB ($10)
50GB ($25)
Apple iCloud
25GB ($40)
50GB ($100)
Box
25GB ($120)
50GB ($240)
Dropbox
2GB
100GB ($100)
200GB ($200)
Google Drive
15GB
25GB ($30)
100GB ($60)
Microsoft SkyDrive
27GB ($10)
57GB ($25)
Mega
50GB
400GB ($120)
2TB ($240)

10. Platform as a Service (PaaS)
A service model that involves outsourcing the basic infrastructure and platform (Windows, Unix)
PaaS facilitates deploying applications without the cost and complexity of buying and managing the underlying hardware and software where the applications are hosted.
The customer uses their own applications

11. PaaS Examples

12. Infrastructure-as-a-Service (IaaS)
A service model that involves outsourcing the basic infrastructure used to support operations--including storage, hardware, servers, and networking components.
The service provider owns the infrastructure equipment and is responsible for housing, running, and maintaining it. The customer typically pays on a per-use basis.
The customer uses their own platform (Windows, Unix), and applications

13. IaaS Examples

14. Software-as-a-Service (SaaS)
Also referred to as “software on demand,” this service model involves outsourcing the infrastructure, platform, and software/applications.
Typically, these services are available to the customer for a fee, pay-as-you-go, or a no charge model.
The customer accesses the applications over the internet.

15. SaaS Examples

16. Deployment Models Public cloud
Public cloud (off-site and remote) describes cloud computing where resources are dynamically provisioned on an on-demand, self-service basis over the Internet, via web applications/web services, open API, from a third-party provider who bills on a utility computing basis.
Private cloud
A private cloud environment is often the first step for a corporation prior to adopting a public cloud initiative. Corporations have discovered the benefits of consolidating shared services on virtualized hardware deployed from a primary datacenter to serve local and remote users.
Hybrid cloud
A hybrid cloud environment consists of some portion of computing resources on-site (on premise) and off-site (public cloud). By integrating public cloud services, users can leverage cloud solutions for specific functions that are too costly to maintain on-premise such as virtual server disaster recovery, backups and test/development environments.  
Community cloud
A community cloud is formed when several organizations with similar requirements share common infrastructure. Costs are spread over fewer users than a public cloud but more than a single tenant.

17. Cloud Distribution Examined

18. Core Advantages Cost saving: You pay for what you use
Easy on installation and maintenance
Increased storage
Highly automated
Flexibility
Better mobility
Shared resources
Back up and restoration

19. Microsoft Engineering Excellence
Disadvantages
Data security and privacy
Network connectivity and bandwidth
Service unavailability due to power outage
Dependence on outside agencies
Limited flexibility
Cost
Knowledge and integration
Long term stability of service provider
Microsoft Confidential

20. Next
Virtualization…