What is Grid Computing

Grid computing is the group of connected computers that work together to perform large tasks or compute bigger and more complex problems. These computers are configured to act as a supercomputer and share memory space and processing power with each other. It is used for weather modeling, huge data analysis, high computation power problems, etc.

Grid computing aims to perform certain tasks that are impossible or difficult to solve for a single computer. Grid computing allows hundreds or even thousands of services and requests to run concurrently without considering the location where they compute. Many computer grids are present in the grid computing system and are connected through wire or the internet.

Working of Grid Computing

Specialized software is run on every computer participating in the data grid in grid computing, known as grid software. The grid software is the heart of grid computing that manages the entire system and coordinates different tasks across the grid. To solve more complex problems, the software assigns the small parts of the big problems (subtasks) to ideal or free computers to run concurrently on their respective subtasks.

Computers need to communicate and share information in grid computing. The grid software allows them to communicate over the network and share information. They share information such as what portions of the subtasks are complete and incomplete and how to proceed further and dispatch outputs. When all the subtasks get completed, the outputs are collected to complete the big tasks.

Advantages of Grid Computing

Grid computing has a lot of advantages over other computing systems. As Grid computing is the subset of the distributed computing systems, it holds the functionalities of the distributed computing systems. Some major advantages of grid computing systems are as follows:

1. Cost-Effective: A grid computing system is not much expensive. It consists of efficient and reliable computers that perform big tasks and compute more complex problems in less time.
2. Scalable: Grid computing is scalable, follows the distributed computing infrastructure or architecture, and is application-oriented.
3. Decentralized and Reliability: The grid computing system is not centralized as there is no centralized server required and uses the existing hardware. It is easy to collaborate with other networks. So, there is no fear of server failure and system failure. If the failure occurs in some computers, the workload is shared among other computers, and the tasks are automatically restarted and performed.
4. Redundancy: Grid computing consists of many computer grids. We can extend and shrink the computer grid's network as much as possible according to our needs. If few computers are not available, we can use other computers to perform their tasks and share the workload among other computers.
5. Concurrency: Grid Computing system allows many tasks to run concurrently across various locations. We can run the same process concurrently using computer grids at different locations.
6. Grid Software: Grid Software is the heart of the grid computing system and plays a crucial role. Grid software manages all the computers and assigns tasks to them. These computers are independent of communicating with each other. They can share the information to know what other computers are doing, which part of the tasks are done and which parts are remaining, and how to deliver the output.
7. Performance: With the help of grid computing, organizations effectively and efficiently use many underutilized data that increases performance.
8. Resource Balancing: Resource balancing is done by assigning the grid tasks to the low utilized computers. If the grid is fully utilized, the lower priority tasks get temporarily banned, and the higher priority tasks get assigned. In a grid computing system, if the workload on a computer increases, the workload is shared with free or idle computers.
9. Parallel CPU Capacity: One of the major advantages of the grid computing system is that the CPU is run parallelly on multiple machines, and more complex tasks are executed in subtasks. This operation takes very little time for execution.

Disadvantages of Grid Computing System

There are some drawbacks of Grid computing system too, and some of them are as follow:

1. To get started with grid computing, we require to learn more.
2. Grid software and technologies are not fully developed; they are evolving processes.
3. Grid computing is not interactive for job submissions.
4. It isn't easy to share the resources among different computers and admins in grid computing. Computers wait to share the information when the other computer is not ready to receive it. To share the resources, a fast internet or ethernet connection is required.
5. Giving licenses to many servers may make it banned for some applications.