What is Grid Computing?

Grid computing uses the resources of many separate computers connected by a network (usually the internet) to solve large-scale computation problems. It is a form of distributed computing that involves coordinating and sharing computing, application, data, storage, or network resources across dynamic and geographically dispersed organizations. Grid technologies promise to change the way organizations tackle complex computational problems. However, the vision of large scale resource sharing is not yet a reality in many areas. Grid computing is an evolving area of computing, where standards and technology are still being developed to enable this new paradigm.

Organizations that depend on access to computational power to advance their business objectives often sacrifice or scale back new projects, design ideas, or innovations due to sheer lack of computational bandwidth.

To provide customers the solution they need, Gridalogy is researching into the complex security, scalability and unobtrusiveness issues required for a superior network grid. We are also working with the open GCF Grid technology standard so that our networks also have the ability to connect with and adapt to future grid technologies as they are developed while delivering the promises and benefits of the grid today. The technology is still under development and we will keep you informed about our milestones achieved through this website.

Benefits of Grid Computing

Low Cost: Grid computing will allow many different and remote idle processors to be harnessed, while maintaining very high standards of security for both, the host and the client.

Faster Results: When it comes to Grid Computing, the more, the faster, the better. It utilizes as many processors as available to run simultaneously and process different pieces of the project. At the end of the allocated time, the processed data is put together like a jigsaw puzzle. The project is complete as soon as all the different pieces are put together. In short, the processing time is inversely proportional to the number of processors used.

Low Costs: Grid computing is an inexpensive way to increase you computational power since it runs on machines already in use in your organization.

More Informational Resources

Wikipedia: http://en.wikipedia.org/wiki/Grid_computing