What is grid computing explain?

Grid computing is a group of networked computers which work together as a virtual supercomputer to perform large tasks, such as analysing huge sets of data or weather modeling.

What are the components of grid computing?

Key Components of Grid Computing

• User interface. Today, users are well-versed with web portals.
• Security. Security is one of the major concerns for grid computing environments.
• Scheduler.
• Data management.
• Workload & resource management.
• Computational grid computing.
• Data grid computing.
• Collaborative grid computing.

What is objective of grid computing?

Grid computing combines computers from multiple administrative domains to reach a common goal, to solve a single task, and may then disappear just as quickly.

Who introduced grid computing?

The idea of grid computing was first established in the early 1990s by Carl Kesselman, Ian Foster and Steve Tuecke. They developed the Globus Toolkit standard, which included grids for data storage management, data processing and intensive computation management.

Why is grid computing important?

Grid computing enables the virtualization of distributed computing resources suchas processing, network bandwidth,and storage capacity to create a single system image, granting users and applications seamless access to vast IT capabilities.

Who made grid computing?

Why grid computing is needed?

What are the best publications on the evolution of grid computing?

These publications are also relevant as further information sources: J. Joseph, M. Ernest, and C. Fellenstein, Evolution of grid computing architecture and grid adoption models, IBM Systems Journal Vol 43, No 4, 2004. M. Baker, A. Apon, C. Ferner, and J. Brown, Emerging Grid Standards, page. 43-50, IEEE Computer, April 2005.

What is a computational grid?

A computational grid aggregates the processing power from a distributed collection of systems. A well-known example of a computational grid is the SETI@home grid. This type of grid is primarily comprised of low-powered computers with minimal application logic awareness and minimal storage capacity.

What is a grid computing environment?

As we have already discussed, grid computing environments provide a distributed computing environment utilizing virtualized resources. With this in mind, applications that can take advantage of distributed computing capabilities are possible candidates for grid computing environments.

What are communications within the grid?

This includes communications within the grid and external to the grid. Communications within the grid are important for sending jobs and their required data to points within the grid. Some jobs require a large amount of data to be processed, and it may not always reside on the machine running the job.