Grid computing is a distributed architecture of multiple computers connected by networks that work together to accomplish joint tasks. It consists of control nodes that administer the network, grid nodes that contribute resources, and users that use network resources. Grid computing allows for easier collaboration between organizations and makes better use of existing hardware, though standards are still evolving and there is a learning curve. It is becoming a platform for large-scale e-science experiments by providing cooperative computing power from different machines for specific tasks.

1. GRID COMPUTING
PRESENTED BY:
G.ANUSREE
19UE1AO506
CSE
4TH YEAR 1ST SEM

3. OVERVIEW
. Definition of grid computing
. what is grid computing ?
. How grid computing works
. Key components of grid computing
. Types of grid computing
. Grid requirements
. Applications
. Advantages of grid computing
. Disadvantages of grid computing
. Conclusion

4. Definition of grid computing:
Grid computing is defined as a distributed architecture
of multiple computers connected by networks that work
together to accomplish a joint task.
- This systems operates on a data grid where
computers interacts to coordinate jobs at hand.

5. What is grid computing ?
Grid computing is a distributed architecture of
multiple computers connected by networks to
accomplish a joint task .
. These tasks are compute intensive and difficult
for a single machine to handle .
. Several machines on a network collaborate under
a common protocol and work as a single virtual
supercomputer to get complex tasks done.

6. How grid computing works
A typical grid computing network consists of three
machines types:
Control node : a control node is a server or a group
of server that administers the entire network and
maintains the record for resources in a network
pool.
Grid node :a provider or grid node is a computer
that contributes its resources to the network
resource pool.

7. User : a user refers to the computer that uses
the resources on the network to complete the
task.

8. KEY COMPONENTS OF GRID COMPUTING:

9. GRID REQUIREMENTS:
. Security
. Resource management
. Data management
. Information services

10. TYPES OF GRID COMPUTING:
TYPES OF GRID COMPUTING:

11. APPLICATIONS:
. Computational services
. Data services
. Application services
. Information services
. Knowledge services

12. ADVANTAGES OF GRID
COMPUTING:
. Easier to collaborate with others organizations
. Make better use of existing hardware

13. DISADVANTAGES OF GRID
COMPUTING:
. Standards are still evolving
. Learning curve to get started
. Non-interactive job submission

14. CONCLUSION
. Grid computing is becoming the platform
for next generation e-science experiments.
. Grid computing is cooperative of different
computers, for a specific task, so that the
user acquires better performance for that
specific task.

15. THANK
YOU
……