Grid Computing
What is Grid computing?
Grid computing is a computer system that coordinates different computers with a hardware and software infrastructure in order to solve large-scale problems. Generally, a grid is responsible for performing several tasks within a work network, however, it can also work in specialized applications. Grid computing is designed to solve problems that are too large for a supercomputer and, at the same time, maintain the ability to process numerous small problems.
Grid Computing Types
Within the grid computing software and hardware infrastructure there are a variety of resources, such as programming languages and contexts, either in a network or through the use of open standards with specific guidelines to achieve a common goal. Grid computing operations are divided into two:
- Data Grid or Data Grid: is a structure or set of services that gives individuals or groups of users the ability to access, modify
and transfer large amounts of geographically distributed data for research purposes.
- CPU Scavenging Grid: is a technique that uses instruction cycles on computers to prevent wasting during the time the device
waits for user input or other slower devices.
Cloud Computing vs. Grid Computing
The computing cloud and grid computing concepts are easily confused because of their similarity. Both concepts are based on network technology, share the same vision of providing services to users by exchanging resources among a large group of users and have multitasking capabilities.
However, grid computing and cloud computing also have significant differences.
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