What is Grid Computing?

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What is Grid Computing?

What is Grid Computing?

Obtaining a common goal, by the usage of distributed computers is termed as Grid Computing. It is differentiated by its maximum efficiency, from every other technology. Because, here every different node is assigned to a different task and they work as a cluster, towards a single goal or outcome. Since they are separated physically and geographically, they behave heterogenous. An individual grid is assigned to execute a common application and together it is applied for different purposes. The grid is a large system which is built with middleware software libraries. The working and components of the grid system along with its important features is explained in this article.

How does Grid Computing Works?

The advancement of the grid computing system is increasing day-by-day. There are many other kinds of research and advanced developments happening in the field of grid computing, supporting to implement new standards and protocols. But the working of the standard grid computing system is as follows,

CPU, Memory and storage units are the fundamental units of the grid computing system. Based on the requirement and need, there might be a computer of one CPU or multiple CPUs and they have a microprocessor by which they perform all the mathematical functions and finally the processed information is sent to different memory locations. The memory of the computer is similar to the temporary electronic storage which keeps the related data available for the microprocessor. Without any memory component, the microprocessor has to search and extract the data from permanent storage components such as any hard disk or USB drives or reliable databases. The storage is an important function in grid computing which should be an open-source and accessible at any time.

With own resources, the computer can work with certain limitations only. With the ability to add maximum power or capacity on a single computer, grid computing enables up-gradation and also performance increase. Storage of large data is made possible by the elasticity and the fast operation. The power of all the computers are cumulated and it increases the power of the system. Also, the resources are connected together and let anyone access the computer. Considering this, from the standpoint of that individual user, his computer has switched into a supercomputer with high values of performance and operating speeds.

Components of Grid Computing

The components of the grid computing are user interface, security, scheduler, data management, workload management and resource management.

As the computers are arranged in a grid with multiple applications, it finds difficult to manage any sensitive or valuable data. So the security of the grid system plays a major role and it is implemented with some advanced techniques of authorization, encryption and decryption. It is challenging to access or retrieve any information on the grid system and so the user interface is implemented in a simplified version.

Such as the interface offered by an application when the user is executing or the interface offered by the grid admin much similar to a web portal which gives access to applications and available resources on the grid system. The most significant part is the interface made with the portal style as it plays a major role in helping the user to teach how to query and execute various functions on the grid. Compact workload management can only be achieved when the application that the user requires to execute on the grid is aware of the available resources.

So now the application interacts with the workload manager to find the resource available and update the status accordingly. A scheduler is required to position the computers on where the application is available and assigned with required jobs. Job queue priority helps in considering the alternative available resources and makes it a simple task. There are other important tasks taken care by the scheduler including, maintaining the workload, finding uncompleted tasks, unveiling the resources reserved and monitoring the entire system.

If the application is executed on a system that doesn’t store the application needs and manage it as a secure network. So the consistent data management services take in charge of moving the data to suitable places across different machines managing various protocols. Handling the critical tasks such as scheduling the jobs with explicit resources and monitoring the status of the jobs and extracting the results is perfectly accomplished by resource management. It potentially includes the entire protocol of the operating grid system and unleashes its scope to different applications making it as more reliable and successful.

Use Cases of grid Computing

The concept of grid computing is explored end to end from academics to research communities. The scope and deployment of grid computing became essential and mandatory in the market as similar to the internet. But the business has begun to stick on to the advantages of grid computing by enabling new types of business and financial models.

In the industry and financial services, grid computing can be implemented to speed up the transaction of trade and shrunk any high volume of data. In the field of IT, Grid computing enables the possibility to carry over any critical missions and circumstances that might not permit any downtime at all. The government agencies use grid computing to secure, segregate and pool up the higher dimensional stockpiles of information.

An organization like military and civilian agencies, that might require data integrity capabilities and a faster rate of information access involving collaboration with millions of cross-agent data repositories. There are many organizations involved in analyzing such as genome resources and development in the pharmaceutical field which relies on grid computing to clean, process, compare and cross-tabulate the enormous amount of data. The faster processing of data is a remarking edge in the deciding factor.


Biometric verification systems and biometric information security areas also make use of Grid computing as a large-scale enterprise. The BIS is considered as a central workflow engine which became the mandatory process than from traditional grid systems.

A genuine test case that is shown on computing the integration and workflow of the systems by the possession of advanced grid middleware system makes it different.  It represents multitasking activities and schedules the task in parallel to finish it effectively.

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This is a guide to What is Grid Computing? Here we discuss how Grid Computing works, components, and use case in detail information. You may also have a look at the following articles to learn more –

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The post What is Grid Computing? appeared first on EDUCBA.

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