Grid computing is a distributed computing system where a group of connected computers work together as a single large computing resource. It allows users to submit tasks that are divided into independent subtasks and distributed across available grid resources. Key benefits include solving larger problems faster through collaboration and making better use of existing hardware. While standards are still evolving, grid computing has enabled projects like the Large Hadron Collider which involves over 1,800 physicists across 32 countries.

1. GRID
COMPUTING
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PRESENTED BY: PRAMIT KARMAKAR

2. Overview
 What is Grid Computing?
How does Grid works
 View of Grid environment
 Why do we need Grid Computing?
 Grid Computing v/s Cloud Computing
 Advantages
 Disadvantages
 Example
 Conclusion
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3. What is Grid Computing
• A distributed computing system
• Where a group of computers are
connected
• To create and work as one large
computing
power, storage, database, applica
tion, and service.
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4. How does Grid work
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5. A typical view of Grid environment
User Resource Broker
Grid Resources
Grid Information Service
A User sends the task to
Grids in order to speed up
the execution of the
application.
A Resource Broker distribute the
jobs to the available Grid resources
based on user’s requirements for
further executions.
Grid Resources
(PC, Supercomputer, database, ins
truments, etc.) in the Global Grid
execute the user jobs.
Grid Information Service
system collects the details of
the available Grid resources
and passes the information to
the resource broker.
Computation result
Grid application
Details of Grid resources
Processed jobs
Computational
jobs
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6. Why do we use Grid
Computing
Many large scale problems
can not be solved
by a single computer
Globally distributed
data and resources
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7. Grid computing v/s Cloud
computing
Grid Computing
divide a huge task
into a lot of
independent and no
related
subtasks, and then
let every node do the
jobs. Even any node
fails the process is
not affected.
In Cloud computing
a user may apply
resource from the
resource pool to
deploy its
application,
not submit its
task to grid
and let the grid
complete it.
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8. Advantages
• Can solve larger, more complex
problems in a shorter time
• Easier to collaborate with other
organizations
• Make better use of existing
hardware
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9. Disadvantages
• Grid software and standards
are still evolving
• Non-interactive job
submission
• Confidentiality interrupted
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10. CERN’s LHC Project
1800 Physicists, 150 Institutes, 32 Countries
100 PB of data by 2010, 50,000 CPUs
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11. Conclusion
• By implementing the Grid it is very easy
to download multiple files very fast
• Further implementations could be
carried out in the nearest future
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12. References
[1]www.ieeexplore.ieee.org
[2]www.gridcomputing.com
[3]www.researchgate.net
[4]www.ibm.com
[5]www.home.cern.ch
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13. Thank You
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