12-09-2014, 02:43 PM
GRID COMPUTING
GRID COMPUTING.pptx (Size: 283.44 KB / Downloads: 8)
What is Grid Computing
Combines computers from various administrative domains to reach a common goal.
Grid – distributed system with non interactive workloads.
Tends to be loosely coupled, heterogeneous and geographically dispersed.
Grids are often constructed with the aid of general-purpose grid software libraries – middleware.
The size of grids may vary confined to a network of workstations within a corporation.
Distributed computing
Refers to the use of distributed systems to solve computational problems.
A problem is divided into many tasks – each solved by one computer.
Examples
Telecommunication networks
Networks applications
Real-time process control
Parallel Computation
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.
Scientist use grid computing for their research.
How Grid computing varies from other computing methodologies?
Cloud computing uses a 3rd party service(Web services) to perform computing needs, where as in Grid Computing, it creates a single network.
Distributed computing is more often concerned with distributing the load of a program across two or more processes.
When two or more computers are used together to solve a problem, it is called a computer cluster.
CONCLUSION
Hardware acceleration is offered to both local and remote users.
Resources are available through an efficient and easy-to-use interface.
A development environment is provided for devising and testing a wide variety of software, hardware and hybrid solutions.