Grid computing projects use distributed and parallel computing to process data quickly and securely. Examples include ATM banking, P2P networks, and scientific data processing for natural disasters and extraterrestrial research. Advances in parallel processing could lead to future breakthroughs in fields such as medicine and archaeology.
Grid computing projects come in many forms. From distributed computing to parallel computing projects, the possibilities are virtually limitless. Understanding what the grid computing system is and what it is capable of is central to making the most of the capabilities of grid computing.
The advantage of using a distributed computing system such as those used by grid computing projects is the ability to process data streams quickly. By merging a system of domains and administrative nodes, a virtual supercomputer can be created to handle a wide variety of data processing tasks while maintaining the security of individual machines. This distributed system capability makes it an ideal candidate for many grid computing projects.
Common examples of grid computing projects are used every day by many people who never realize the scale of the system they are accessing. ATM banking, automatic teller machines, and other services that require a computer terminal to communicate with a central processing machine use grid computing services. While these services are used for basic transactions, the reach of the grid computing network extends far beyond that.
Peer to peer (P2P) networks are also based on grid computing designs. Each user of the network becomes a node in this parallel computing system. Nodes are able to communicate with a central processing machine in the administrative domain. This machine is responsible for directing searches and traffic to the appropriate nodes. Each machine remains secure because communication takes place between individual nodes and the central machine while individual nodes remain isolated from other nodes.
Another common use of grid computing designs is empirical data processing system. Various colleges and research organizations have used the grid computing system to handle the task of processing huge amounts of scientific data to solve various questions. In some cases, the data has been used to predict earthquakes, storms and other natural disasters. In other cases, grid computing projects have even had extraterrestrial origins, looking for signs of life on distant planets or studying data sent by orbiting satellites.
While the limitations of grid computing are yet to be discovered, there are many benefits gained from these distributed computing systems on a daily basis. With the availability of more and more parallel processing systems, more advances are continually being made in the field. These advances could mean that future grid computing projects could help humanity find cures for dreaded diseases or solve ancient mysteries using the power of a virtual supercomputer.
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