Cloud Computing

1. ®
Elaborated by : Fatma Ghacham
Cloud Computing Slides by Carlton Colter

2. ®
Outline
 Introduction
 Scenario
 Cloud computing definition
 Types of cloud computing
 Advantages and Disadvantages
 Case study : Google App Engine
 Conclusion
Cloud Computing Slides by Carlton Colter

3. ®
Introduction(1/3)
2010+ Cloud
2000s SOA
1990s Web
1980s Client-Server
1970s Mainframe
Fifth Paradigm Shift in Computing
Cloud Computing 3 Slides by Carlton Colter

4. ®
Introduction(2/3)
Who is behind Cloud Computing?
Cloud Computing 4 Slides by Carlton Colter

5. ®
Introduction(3/3)
Who is behind Cloud Computing?
2010+ Cloud
2000s SOA
1990s Web
1980s Client-Server
1970s Mainframe
Fifth Paradigm Shift in Computing
Cloud Computing 5 Slides by Carlton Colter

6. ®
Scenario(1/2)
You have a System (Website)
Performancelikes itdown
People goes
Users become unsatisfied
Your website become well known
Cloud Computing 6 Slides by Carlton Colter

7. ®
Scenario (2/2)
 Cloud Computing Vs. Virtualization
 Solution: add more servers in your data
 Applications and infrastructure are independent. center Or in the
applications provider center.
 However , Users are not independent from configuring and
installing
 Concepts : Cloud computing or Virtualization
Virtualization concept
Cloud Computing 7 Slides by Carlton Colter

8. ®
What’s cloud computing? (1/2)
s
Gartner :
“Cloud computing is a style of computing
where massively scalable IT-related
capabilities are provided ‘as a service’
across the Internet to multiple external
customers.”[1]
Cloud
Provider
Cloud Computing 8 Slides by Carlton Colter

9. ®
What’s cloud computing?(2/2)
Platform as
a Service
Utility (PaaS)
Computing
Cloud-based
Applications
What makes up Cloud
Computing?
Cloud Computing [2]
Cloud Computing 9 Slides by Carlton Colter

10. ®
Types of cloud computing(1/8)
²
Software as a Service (SaaS) concept
Someone else owns the application
Cloud Computing 10 Slides by Carlton Colter

11. ®
Types of cloud computing(2/8)
 Cloud “Applications” or SaaS :
 Examples: Gmail, Yahoo! Mail
 Advantages: Easy, Consumer Adoption
 Disadvantages: Limited functionality ,no control or access
to underlying technology
Cloud Computing 11 Slides by Carlton Colter

12. ®
Types of cloud computing (3/8)
Platform as a Service (PaaS) concept
Someone else owns platforms
Pay fixed subscription fee
Cloud Computing 12 Slides by Carlton Colter

13. ®
Types of cloud computing(4/8)
 Cloud “Platforms” or PaaS
 Examples: Google App Engine, Heroku, Mosso, Engine Yard,
Joyent or Force.com (SalesForce Dev Platform), Azure, Caspio
 Advantages: Good for developers, more control than
“Application” Clouds
 Disadvantages: Restricted to what is available
Cloud Computing 13 Slides by Carlton Colter

14. ®
Types of cloud computing(5/8)
 Infrastructure as a Service (IaaS)
concept
Someone else owns Storage Database and
Scalability
Pay fixed subscription fee
Cloud Computing 14 Slides by Carlton Colter

15. ®
Types of cloud computing(6/8)
 Cloud “Infrastructure” or IaaS
 Examples: Amazon EC2, GoGrid, Amazon S3, Nirvanix, Linode,
SunGrid , Flexiscale
 Advantages: Full control of environments and infrastructure
 Disadvantages: limited competition
Cloud Computing 15 Slides by Carlton Colter

16. ®
Types of cloud computing(7/8)
Private Infrastructure Platform
(On-Premise) (as a Service) (as a Service)
You manage
Applications Applications Applications
You manage
Runtimes Runtimes Runtimes
Security & Integration Security & Integration Security & Integration
Managed by vendor
Databases Databases Databases
You manage
Servers Servers Servers
Managed by vendor
Virtualization Virtualization Virtualization
Server HW Server HW Server HW
Storage Storage Storage
Networking Networking Networking
Cloud Computing 16 Slides by Carlton Colter

17. ®
Types of cloud computing(8/8)
 Other types
 Adaptive Infrastructure as a Service (AIaaS) for example HP
AIaaS
 Hardware as a Service (HaaS) Hoawei network equipments
 Data Base as a Service (DbaaS) for Storage examples
Google BigTable, Amazon SimpleDB, Live Mesh
Cloud Computing 17 Slides by Carlton Colter

18. ®
Cloud computing Advantages
Lower computer costs
Improved performance
Unlimited storage capacity
Device independence
Availability
Cloud Computing 18 Slides by Carlton Colter

19. ®
Cloud Computing Disadvantages
Requires a constant Internet connection
Security & Privacy
Related Bandwidth Cost
Transparency
Cloud Computing 19 Slides by Carlton Colter

20. ®
Case Study : Google App Engine(1/5)
 What is the Google App Engine?
 It allows people to run their web application on Google's
infrastructure.
 Write a web program in Python or in Java and submit to
Google. It will take care of the rest
 The Google App Engine is free to get started to allow developers
to try it out with no risk.
Cloud Computing 20 Slides by Carlton Colter

21. ®
Case Study :Google App Engine(2/5)
 Characteristics
 Easy to start, little administration
 Scale automatically
 Reliable
 Integrate with Google user service: get user nickname,
request login
 Cost:
 Can set daily quota
 CPU hour: 1.2 GHz Intel x86 processor
Resource Unit Unit cost Free (daily)
Outgoing Bandwidth gigabytes $0.12 10GB
Incoming Bandwidth gigabytes $0.10 10GB
CPU Time CPU hours $0.10 46 hours
Stored Data gigabytes per month $0.15 1GB (all)
Cloud Computing 21 Slides by Carlton Colter

22. ®
Case study :Google App Engine(3/5)
 How to use it
 Download App Engine SDK
 Develop your program locally
 A set of python programs, input = requested url,
output = return message
 Debug locally
 Register for an application id
 Submit your application to Google
Cloud Computing 22 Slides by Carlton Colter

23. ®
Case Study :Google App Engine(4/5)
 Google App Engine – Hello world
 Creating a Simple Request Handler
Create a file helloworld.py:
print 'Content-Type: text/plain'
print ''
print 'Hello, world!‘
 Map url to handler
Edit configuration file app.yaml
application: helloworld
version: 1
handlers:
- url: /.*
script: helloworld.py
 Data storage:
 Distributed file system
 Store using App Engine API, retrieve using GQL
 Debug: http://localhost:8080/
Cloud Computing 23 Slides by Carlton Colter

24. ®
Case Study : Google App Engine(5/5)
 Register for an application ID
 http://appengine.google.com
 Verification code sent to your mobile
 Uploading the Application
 appcfg.py update helloworld/
 Enter your Google username and password at the prompts
 http://application-id.appspot.com
 Manage using Administration Console
 Set up domain name
 Invite other people to be developers
 View error logs, traffic logs
 Switch between different versions
Cloud Computing 24 Slides by Carlton Colter

25. ®
Conclusion : Cloud computing
Concerns
Who is the data owner ?
Businesses loose control over their data
Data transfert? When you change
provider
Deleting data?
Cloud Computing 25 Slides by Carlton Colter

26. ®
Conclusion : Cloud computing
Challenges
Needs knowledge and qualified staff
Reluctance to change
Data security, who endorse risk?
System liability is still under test
Cloud Computing 26 Slides by Carlton Colter

27. ®
References
 [1] Gartner Enterprise Architectures , Cloud Computing Confusion
leads to opportunity ,
http://www.gartner.com/it/products/research/cloud_computing/cloud_c
omputing.jsp, 2009
jjj
 [2] Jonathan Wong , What is Microsoft's Cloud Computing Strategy? ,
http://www.slideshare.net/armchairtheorist/what-is-microsofts-cloud-
computing-strategy-presentation, August 2009
Cloud Computing Slides by Carlton Colter

28. ®
Cloud Computing Slides by Carlton Colter