Grid computing is a method that connects multiple computers to work collaboratively on complex tasks beyond the capability of a single machine. It involves breaking down larger problems into smaller subtasks that are assigned to different computers, enhancing processing speed and resource utilization. Common applications include scientific research, weather forecasting, financial modeling, earthquake simulation, and climate modeling.

1. PRESENTATION
ON
GRID COMPUTING

3. Grid computing is a method of using multiple computers connected by a network
to work together on a single task. It's used to solve complex problems that are too
large for a single computer to handle.

6. How it works
•Computers in the grid are connected over the internet or a virtual private
network.
•A specialized software program coordinates the computers' tasks.
•The software breaks down the main task into smaller subtasks and
assigns each subtask to a computer.
•The computers work on their assigned subtasks simultaneously.
Benefits
•Grid computing can speed up processing time.
•It can optimize resource utilization.
•It can help organizations solve complex problems more
efficiently.

8. Use cases
•Scientific research: Grid computing is used in genomic research, drug discovery,
and cancer research.
•Weather forecasting: Grid computing is used to model weather patterns.
•Financial modeling: Grid computing is used to model financial data.
•Earthquakes: Grid computing is used to simulate earthquakes.
•Climate modeling: Grid computing is used to model climate patterns.
Grid computing can be used in the cloud, where you can assemble and use a grid of
computers for a specific time period.