This document discusses cloud computing concepts including definitions, architecture, service models, and simulation tools. It summarizes a student project presentation on cloud computing that examines key aspects like scalability, pay-per-use model, and virtualization. It also evaluates cloud simulators CloudSim, GreenCloud and iCanCloud, comparing their features, scenarios and performance graphs. The document proposes a novel load balancing approach and its implementation through a dynamic information system interface.

1. Bit mesra ranchi,kolkata extn.
Under The Guidance of:
Ajanta De Sarkar
Soumya Ray
Presented By: Group No-24
Udita Chakarborty (MCA/3508/10)
Ashutosh Kumar (MCA/3539/10)
Puja Kumari (MCA/3543/10)
Shashi Ranjan (MCA/3545/10)

2. • Internet based computing
• Enables convenient on-demand network access to
a shared pool of configurable computing resources
e.g., networks, servers, storage, applications, and
services
• Virtualized computing platform
• Business Model
Cloud Computing
2

3. Cloud Computing(cont..)
• Cloud Infrastructure:
Public Cloud
Private Cloud
• Major cloud providers:
 Amazon
 Google
 Microsoft
3

4. Some key aspects of cloud computing
• on-demand network
• Scalable use of computing resources
• Pay-per-use concept
4

5. Cloud Architecture
• Consists of two component:
Front-end(or user-end)
Back-end
5

6. Cloud Architecture(Cont..)
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7. Service levels
PLATFORM
AS A SERVICE-Build on it
SOFTWARE
AS A SERVICE-Consume it
INFRASTRUCTURE
AS A SERVICE-Migrate to it
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8. Service Level Argreements
8

9. Service Level Argreements(Cont..)
• Negotiation between service provider and service
consumers
• Service integrator offers an end-to-end SLA to its service
consumers
end-to-end SLA depends on the SLAs that the service integrator
has with its service provider
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10. 10

11. Users and their Roles
• Four types of business roles:
A Cloud Service Consumer (CSC)
A Cloud Service Provider (CSP)
A Cloud Service Integrator (CSI)
A Cloud Service Broker (CSB)
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12. Advantages
• Easy to maintain
• Easy access
• Ideal for small business
• Location independence
• Provides flexibility 12

13. Advantages (Cont..)
• Scalable
• Cost-effective
• Energy-efficient
• Reliable
13

14. Drawbacks
• Possible downtime
• Security issues
• Other issues:
 Load Balancing
14

15. Why we need load balancing??
• The steady growth of the Internet
low response times
network congestion and
disruption of services
• For achieving Green computing in clouds
Limited Energy Consumption
Reducing Carbon Emission 15

16. Load Balancing
16

17. Some key aspects of load balancing
• Network Load Balancing or Server Load Balancing
• Reassigning load to each individual node
• Provided by dedicated software or hardware
 e.g. multilayer switch ,DNS server etc.
17

18. Some key aspects of load balancing
(Cont..)
• Make resource utilization effective
• Improve the response time
• Dynamic in nature
• Load of resources considered can be:
 CPU load,
 amount of memory used,
 delay or Network load
18

19. Goals of load balancing
• Availability
• To improve the performance substantially
• To maintain the system stability
• To accommodate future modification in the
system
• Build a fault tolerant system by Creating backups 19

20. Types of load balancing algorithms
• Depending on who initiated the process:
sender Initiated
receiver Initiated
Symmetric
• Depending on the current state of the system:
static
dynamic
20

21. Usefulness of study of simulation
• Creating and experimenting model of a physical system
• To test scenarios that might be particularly difficult or
expensive
• Provide graphical applications
21

22. Need of Simulators
• Difficult to access exact cloud computing environment
• Easily mimicking cloud testbeds with different VMs
• To easily include modifications for complex scenario
22

23. Types of Simulators
GreenCloud
» Why?
» Scenarios
» Performance Measurement
iCanCloud
» Why?
» Scenarios
» Performance Measurement
CloudSim
» Why?
» Scenarios
» Performance Measurement
Comparison 23

24. Scenarios
Scenario a: sole execution of sample application program
Scenario b: execution of sample application program
with lightly loaded application
Scenario c: execution of sample program with heavily
loaded application
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25. Why Green Cloud?
1. A simulation environment
2. No provisioning for observing clouds for their energy efficiency
3. Offers a thorough investigation of workload distributions
4. Minimise energy consumption
5. Packet-level simulations of communications in the data center infrastructure

26. Performance Evaluation Graph
26

27. Why iCanCloud?
• Used to simulate and model systems
•Optimizes the trade-off between cost and performance
• Lets the users to take an easy decision for paying
corresponding budget of machines
• Provides flexibility, scalability, performance and
usability
27

28. Why iCanCloud?(Cont..)
• Customizable VMs can be used to quickly simulate uni-
core/multi-core systems
• Provides a user-friendly GUI
• Conducts large experiment
• provides a flexible global hypervisor for integrating any cloud
brokering policy
• reproduces the instance types provided by a given cloud
infrastructure 28

29. Performance Evaluation Graph
29

30. Why CloudSim?
• An extensible simulation toolkit that enables modelling
and simulation of Cloud computing systems and
application provisioning environments.
• Can test the performance of a newly developed
application service in a controlled and easy to set-up
environment.
• Requires very less effort and time to implement Cloud-
based application provisioning test environment
30

31. Cont..
• Used for modelling and simulation of large scale computing
environments
• Facilitates simulation of federated cloud environment
• Supports simulation of network connections among the simulated
system elements
• Support for modelling and simulation of energy-aware
computational resources are also available

32. Performance Evaluation Graph
32

33. Comparison of Features
Parameters GreenCloud iCanCloud CloudSim
Platform NS2 OMNET,MPI _
Language C++/OTcl C++ Java
Availability Open Source Open Source Open Source
Graphical Support Limited(through
Nam)
Full Limited(through
CloudAnalyst)
Support for Power
Consumption
Yes Yes WiP
33

34. Implementation of Proposed
Load Balancing
Approach through Interface
34

35. Dynamic Information System
35

36. Novel Load Balancing Approach
• Cloud Provider (Windows) and Resource Provider
(Linux)
• “Top” command executed on Resource Provider
• Getting the “Dynamic Resource Information” into
xml file
• Connection established between Cloud Provider and
Resource Provider through socket connection
36

37. Novel Load Balancing Approach
(Cont..)
• Transferring xml file from Resource Provider to
Cloud Provider
• Cloud Provider checks xml file
• Resource Table is maintained by the Cloud
Provider
37

38. Welcome Page
38

39. Activities Page
39

40. Simulators Page
40

41. Performance Evaluation Graph of
CloudSim
41

42. Performance Evaluation Graph of
GreenCloud
42

43. Performance Evaluation Graph of
iCanCloud
43

44. Resource Information of R1
44

45. Resource Information of R2
45

46. Resource Information of R3
46

47. Resource Table
47

48. Conclusion
• Concludes features, architectures and performance evaluation
graph of different existing cloud simulators
• Predict the outcome of each simulator under different
scenarios
• Compares the different simulators
48

49. Conclusion(Cont..)
• Future Work:
Improvement from the cloud consumer sides
Service level agreements between cloud provider and cloud
consumer
• Limitations:
Message passing overhead
A part of the Approach
49

50. Reference
1. Aarti Khetan, Vie Bhushan and Subhash Chand Gupta “A novel Survey
on Load Balancing in Cloud Computing” International Journal of
Engineering Research & Technology (IJERT) Vol. 2 Issue 2,February-
2013.
2. Anthony T.Velte, Toby J.Velte, Robert Elsenpeter, “Cloud Computing:A
Practical Approach”, TATA McGRAW-HILL Edition 2010.
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51. Reference(Cont..)
4. Kliazovich, D., Bouvry, P., Khan, S.U.: “iCanCloud: A Flexible and
Scalable Cloud Infrastructure Simulator.” J Grid Computing (2012)
10:185–209 DOI 10.1007/s10723-012-9208-5.
5. Mell, P.; and Grance, T. (2009, 7 10). The NIST Definition of Cloud
Computing, from NIST Information Technology Laboratory,
http://www.nist.gov/itl/cloud/upload/cloud-def-v15.pdf,retrieved
onApril 2011.
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52. YOU…..
THANK
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