Thursday, 10 October 2019

                                    GRID COMPUTING



Grid computing is a group of computers physically connected (over a network or with Internet) to perform a dedicated tasks together, such as analysing e-commerce data and solve a complex problem. Grids are a form of "super virtual computer" that solve a particular application.The grid size may vary from small to large enterprises network.


computing grid is constructed with the help of grid middleware software that allows them to communicate. middleware is used to translates one node information passed stored or processed information to another into a recognizable format. It is the form of "distributed computing" or "peer-to-peer computing".


'Grid computing' is distinguished from the cluster computing, because in Grid computing each node has heterogeneous and geographically dispersed (such as a WAN) and its own resource manager and perform a different task and are loosely connected by the Internet or low-speed networks, but in cluster computing resources are managed in a single location (Like a LAN). 




TYPES OF GRID:-
There are many types of grid like:-
1) COMPUTATIONAL GRID:- It acts as the resource of many computers in a network to a single problem at a time.
2) DATA GRID:- It deals with the controlled sharing and management of distributed data of large amount.
3) COLLABORATIVE GRID:- It is the grid which solves collaborative problems.
4) MANUSCRIPT GRID:- This grid works well when things are presenting in large continuous blocks of text or images.
5) MODULAR GRID:- This grid works well when columns alone don’t offer enough flexibility for complex problems.


GRID ACTIVITIES:-
1) Grid shares many different kinds of resources which is transparent to the end user.
2) It can solve many number of problems occurred in both science and industry.
 3)The grid development was done in the EU-funded

ADVANTAGES OF GRID COMPUTING:-
1) It can solve more complex problems in a very short span of time.
2) It can easily combine with other organisation.
3) It can make better use of existing hardware.

DISADVANTAGES OF GRID COMPUTING:-
1) It evolves grid software and standards.
2) It starts learning curve.
3) It is very non interactive.