

WHAT IT IS ALL ABOUT
Grid computing has become the latest, greatest thing in information systems architecture. It is expected to become a big, thing due to its capacity to solve capacity and performance problems for a myriad of applications.
Grid Computing is distributed large scale computing that coordinates the sharing of complex computational power across geographically dispersed organisations on a network. In other words, grid computing is the combination of computer resources from multiple administrative domains to reach a common goal. Grids are usually used for solving scientific, technical or business problems that require a great number of computer processing cycles for processing of large amounts of data. For example, multimedia companies will be able to benefit from animation development software, especially for visualisation and rendering purposes. For public safety, the grid will be used for data collection and analysis for the purpose of surveillance and tracking.
By having the huge computing power of the grid, the nation will be able to strengthen command and control centres to monitor natural disasters and to be used in climate studies by using simulation and to study the natural phenomena for early detection. What differentiates Grid computing from conventional high performance computing systems such as cluster computing is that Grids tend to be more loosely coupled, heterogeneous, and geographically dispersed. While a Grid may be dedicated to a specialised application, a single Grid may be used for many different purposes.
WHY THE NEED FOR ‘GRID COMPUTING’
The need for a dependable, consistent, pervasive, and inexpensive access to high-end computational capabilities that focuses on high-performance, resource-intensive applications and cross enterprise collaboration.
On top of that, It also complements the “National Broadband Initiative Plan” and promotes ICT growth in various industries due to its capability that allows processing of a large amount of data in a simple, efficient and yet in a powerful manner.