1. Cloud Computing and Grid Computing
360-Degree Compared
PRESENTED BY
MD. HASIBUR RASHID
1
By Ian Foster, Yong Zhao, Ioan Raicu, Shiyong Lu

2. Introduction
Cloud Computing has become another buzzword after Web 2.0. On Cloud Computing is
not a completely new concept; it has intricate connection to the relatively new but thirteen-
year established Grid Computing paradigm, and other relevant technologies such as utility
computing, cluster computing, and distributed systems in general.
This paper strives to compare and contrast Cloud Computing with Grid Computing from
various angles and give insights into the essential characteristics of both.
2

3. Cluster Computing
 A cluster is a collection of parallel or distributed
computers which are interconnected among
themselves using high-speed networks, such as
gigabit Ethernet, SCI, Myrinet and Infiniband.
 Clusters are used mainly for high availability,
load-balancing and for compute purpose.
 When multiple computers are linked together in
a cluster, they share computational workload as
a single virtual computer.
3

4. Grid Computing
 Grid computing combines computers from
multiple administrative domains to reach a
common goal, to solve a single task, and may
then disappear just as quickly.
 Grid as a type of parallel and distributed
system that enables the sharing, selection, and
aggregation of geographically distributed
autonomous resources dynamically at runtime
depending on their availability, capability,
performance, cost, and users quality-of-
service requirements.
 Grid computing is extended of Cluster
computing.
4
•PC1
•PC2
•PC300
•PC1
•PC2
•PC20
•PC1
•PC2
•PC50
•PC1
•PC2
•PC100
CLUSTER
1
CLUSTER
2
CLUSTER
4
CLUSTER
3

5. Cloud Computing
 Cloud computing refers to both the
applications delivered as services over the
Internet and the hardware and system
software in the data centers that provide
those services.
 Cloud is a type of parallel and distributed
system consisting of a collection of
interconnected and virtualized computers that
are dynamically provisioned and presented as
one or more unified computing resources
based on service-level agreement.
 Extend of Grid Computing.
5

6. Services of Cloud
Cloud computing provides basically three kinds
of service:
 SaaS: Software as a Service. Example service
providers are Salesforce, Customer
Relationships Management(CRM) system
and Google Apps, MS Office Online.
 PaaS: Platform as a Service. Some example
service providers are Google’s App Engine ,
Microsoft Azure , RightScale and SalesForce .
 IaaS: Infrastructure as a Service. Some of the
IaaS providers are AWS, Eucalyptus, Open
Stack, GoGrid and Flexiscale.
6

7. Services of Cloud
7

8. Challenges in
the cloud
computing
 Dynamic scalability
 Multi-tenancy
 Querying and access
 Standardization
 Reliability and fault-tolerance
 Debugging and profiling
 Security and privacy
 Power
8

9. COMPARISON OF CLUSTER, GRID AND
CLOUDCOMPUTING
Cluster Grid Cloud
Resource Handling Centralized Distributed Both
Loose coupling / Scalable No Both Yes
Reliability/ User friendliness No Half Full
Network type Private Private Public Internet
Virtualization Half Half Yes
Business Model No No Yes
Task Size Single large Single large Small, medium & large
Heterogeneity No Yes Yes
Security High Medium / High Low / Medium
Value Added Service No Both Yes
Cost Very High High Low
9

10. Architectural Comparison
10

11. Cluster computing projects and
applications
 Condor : Research, Engineering of complex software, Maintenance of production
environments, Education of students.
The Weather Research and Forecast (WRF), Hadoop Project.
 Clusters were also used for solving grand challenging applications such as weather
modeling, automobile crash simulations, life sciences, computational fluid dynamics,
nuclear simulations, image processing, electromagnetic, data mining, aerodynamics
and astrophysics.
11

12. Grid Projects and applications
 Globus, EGI-InSPIRE, NSFs National Technology Grid, NASAs Information Power Grid ,
GriPhyN, NEESgrid, Particle Physics Data Grid and the European Data Grid
 The grid applications range from advanced manufacturing, numerical wind tunnel,
oil reservoir simulation, particle physics research, High Energy Nuclear Physics (HENP),
weather modeling, bio-informatics, terrain analysis of nature observation, scientific
database, and popular science web services.
12

13. Cloud Projects and Applications
 CERN, Unified Cloud Interface (UCI), Cloud-Enabled Space Weather Platform
(CESWP), OpenNebula, RoboEarth, Panda Cloud antivirus, Cloudo.
13

14. Conclusion
We have presented a detailed comparison on the three computing models, cluster, grid
and cloud computing Grid and cloud computing appears to be a promising model
especially focusing on standardizing APIs, security, interoperability, new business models,
and dynamic pricing systems for complex services. Hence there is a scope for further
research in these areas.
14

15. Thank You
Md. Hasibur Rashid, MSc. In CSE, KUET, Bangladesh.
15