Why grid computing

Along with these uses, grid computing also finds its uses in life sciences and Engineering and Design. This is what grid computing is. I hope this helps you understand what does it mean and what its uses are.

The joint-certification course is 6 months long and is conducted online and will help you become a complete Cloud Professional. Ajay Sarangam 21 Jan What is Grid Computing? Few of those application areas of grid computing are discussed below: 3 Applications of Grid Computing: A problem can be solved by distributing work to different systems that eventually aims at common goals.

The computers on a grid can be set in different geographical areas or even across countries. Grid Computing finds its application in the areas where high processing performance is needed for an extended period. This time can limit from a few months to a few years, and constant high processing power is needed throughout the time. One of the best applications of Grid Computing is on-demand supercomputers. This application of grid computing comes in handy when the enterprises face problems during fluctuating demands.

Grid Computing is a handful in processing data simultaneously by processing bits of the whole data by distributing it to different grid nodes. The distribution of data and its processing goes side by side. Working: A Grid computing network mainly consists of these three types of machines. Skip to content. Change Language. Related Articles. Table of Contents. Save Article. Improve Article. Like Article. Over the last few years, the concept of grid computing has evolved from a buzzword to a set of concrete standards and implementations.

Two groups, the Globus Alliance a grid that's sponsored by several universities and the Global Grid Forum whose members include vendor giants IBM and Microsoft, plus many small research organizations have become the sources of standards and software solutions for this emerging technology.

The Globus Alliance publishes the open source Globus Toolkit, which includes software libraries and services that you can use to create grid applications. The tool kit's libraries address issues such as security, information infrastructure, resource management, networking, reliability and portability.

There are also popular "consumer" distributed-computing initiatives, including SETI home, a distributed number-crunching application to find extraterrestrial signals, and distributed.

It is the popularity of these examples and the initial success of grid computing in the research environment that has led to increased interest in grid technology from industries such as financial services, pharmaceuticals and energy. But how applicable is grid computing in industry given that its roots are in research science?

One of the main drivers for grid computing in the research space was to increase the raw computing power available to each institution without the need for new supercomputers. But most companies are not interested in computing of the scale required for global weather simulation. However, IT executives should care about grid computing because it can offer the following:.

Instead of leveraging a bigger set of resources to do more computing, IT executives can use the technology to better use their existing infrastructure to cover their current needs. For those applications that are compute-intensive, grid computing can deliver an order of magnitude improvement in run-time.