Grid computing involves connecting geographically distributed computers and resources into a single network to create a virtual supercomputer. Resources may include computers, storage devices, instruments, and data owned by diverse organizations. Users can access these heterogeneous resources through a single account, similar to how an electrical power grid provides power from different sources. Key aspects of grid computing include distributed supercomputing, high-throughput computing, on-demand computing, and data-intensive computing. Major companies involved in developing grid computing include IBM, Intel, and Sun Microsystems. Limitations include the need for standardization and use of command line interfaces or programming.

1. GRID COMPUTINGGRID COMPUTING
VIPUL GUPTA
IT – 4th
YEAR

2. • What is Grid Computing?
• Cousins of grid computing.
• Methods of grid computing.
• Who Needs It?
• Grid Users
• Companies involved in grid computing.
• Limitation of grid computing
• What’s Next ???
• Conclusion
OUTLINE

3. What is grid computing?What is grid computing?
• Grid computing involves connecting
geographically remote computers into a
single network to create a virtual
supercomputer by combining the
computational power of all computers on
grid.

4. • A network of geographically distributed
resources including computers,
peripherals, switches, instruments, and
data.
• Each user should have a single login
account to access all resources.
• Resources may be owned by diverse
organizations

5. 55
The power Grid paradigm
Electric
Power Grid
System
coal wind
hydroelectric nuclear
Users can access electrical powerUsers can access electrical power
coming from different (and heterogeneous) sourcescoming from different (and heterogeneous) sources

6. 66
The computing Grid approach
Computing
Grid
System
Users can access storage and computing resourcesUsers can access storage and computing resources
coming from different (and heterogeneous) sourcescoming from different (and heterogeneous) sources
The resources shared within the Grid can be physical objects
(CPUs, storage devices) or logical resources
(computing queues, distributed file systems)

7. Fourth EELA Workshop,Fourth EELA Workshop,
Bogota, 05.03.2007Bogota, 05.03.2007 77
The Grid Metaphor
G
R
I
D
M
I
D
D
L
E
W
A
R
E
Visualising
Workstation
Mobile Access
Supercomputer, PC-Cluster
Storage, Data from Sensors and instruments

8. Cousins of Grid ComputingCousins of Grid Computing
 Distributed Computing
 Peer-to-Peer Computing etc.
 Distributed Computing
Distributed computing is most often
concerned with distributing the load of a
program across two or more processes

9. PEER2PEER ComputingPEER2PEER Computing
• Sharing of computer resources and
services by direct exchange between
systems.
• Computers can act as clients or servers
depending on what role is most efficient
for the network.

10. 1010
Linux
TCP/IP
Bluetooth
HTTP
TCP/IP
TCP/IP
XP
A P2PA P2P
NetworkNetwork

11. Methods of Grid ComputingMethods of Grid Computing
• Distributed Supercomputing
• High-Throughput Computing
• On-Demand Computing
• Data-Intensive Computing
• Collaborative Computing

12. Who Needs Grid Computing?Who Needs Grid Computing?
• A chemist may utilize hundreds of
processors to screen thousands of
compounds per hour.
• Teams of engineers worldwide pool
resources to analyze terabytes of
structural data.
• Meteorologists seek to visualize and
analyze data of climate with enormous
computational demands.

13. Grid UsersGrid Users
• Grid developers
• Tool developers
• Application developers
• End Users
• System Administrators

14. Grid DevelopersGrid Developers
• Very small group.
• Implementers of a grid “protocol” who
provides the basic services required to
construct a grid.

15. Tool DevelopersTool Developers
• Implement the programming models used
by application developers.
• Implement basic services similar to
conventional computing services:
– User authentication/authorization
– Process management
– Data access and communication

16. Application DevelopersApplication Developers
• Construct grid-enabled applications for
end-users who should be able to use
these applications without concern for the
underlying grid.
• Provide programming models that are
appropriate for grid environments and
services that programmers can rely on
when developing (higher-level)
applications.

17. System AdministratorsSystem Administrators
• Balance local and global concerns.
• Manage grid components and
infrastructure.
• Some tasks still not well delineated due to
the high degree of sharing required.

18. SoftwareSoftware infrastructureinfrastructure
• Globus
• Condor
• NetSolve

19. 1919
Companies involved in GridCompanies involved in Grid
ComputingComputing
• Avaki
• Axceleon
• CapCal
• Centrata
• DataSynapse
• Distributed Science
• Elepar
• Entropia.com
• Grid Frastructure
• GridSystems
• Groove Networks
• IBM
• Intel
 Powerllel
 ProcessTree
 Sharman Networks Kazza
 Sun Gridware
 Sysnet Solutions
 Tsunami Research
 Ubero
 United Devices
 Veritas
 Xcomp
 Jivalti
 Mithral
 Mind Electric
 Mojo Nation
 NewsToYou.com
 NICE, Italy
 Noemix, Inc.
 Oracle
 Parabon
 Platform Computing
 Popular Power
Source: http://www.gridcomputing.com/

20. Limitations of Grid ComputingLimitations of Grid Computing
• Efforts are being made to standardize protocols.
• Uses a command-line interface.
• Requires programming in a language and using
a host of libraries for interacting with Open Grid
Services Infrastructure.
• Our hope is to create an interface to Grid
computing that accomplishes what Internet
browsers (Netscape and Internet Explorer) did to
open up the WWW

21. What’s Next?What’s Next?
• More “filters” to transform data need to be
developed and tested
• Fancier graphics may be added to the
GUIs
• Extend Grid to include more software
applications
• Extend Grid services to other disciplines
• Include industry and businesses as users
and developers

22. CONCLUSIONCONCLUSION
• Grid Computing involves cost savings, speed of
computation, and agility.
• The grid adjusts to accommodate the fluctuating
data volumes that are a typical in the seasonal
business.

23. THANK YOU….THANK YOU….