Difference between Grid and Cloud Computing? - Cleaning Talk - Professional Cleaning and Restoration Forum
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post #1 of Old 11-10-2013, 11:48 PM Thread Starter
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Difference between Grid and Cloud Computing?

Lines and reasoning processing might seem identical, but each is designed and works in a different way. Both techniques take benefits of multi-tasking abilities and growing the work noisy to other techniques, but reasoning processing actually occurs over the Internet rather than across several computer systems on a system. Therefore, reasoning processing is location-independent because one might not know where the computer that is doing projects is actually situated. On the other hand, grid processing occurs in groups of physical techniques in a particular position, which some call group processing. Moreover, each system differs in cost and protection, with reasoning processing generally charging more and demanding extra safety actions.

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post #2 of Old 09-06-2014, 02:09 AM
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Cloud computing and grid computing are very similar concepts that can be easily confused. Fortunately, there are a few key differences that set the two apart.

Grid computing is a loose network of computers that can be called into service for a large-scale processing task. This network is over the Internet, but only computers that have opted into the grid are called upon. Although distributed geographically, grid computing allows for parallel processing on a massive scale. In short, grid computing is what you want when you have a big processing job to tackle. Search for Extraterrestrial Intelligence (SETI), for example, uses a grid computing scheme to analyze radio frequency data, taking advantage of volunteers’ idle processing power.

Cloud computing, in contrast, usually involves accessing resources on an as-needed basis from clusters of servers. These clusters can handle large processing loads, but they are intended to provide scalable processing to users on a smaller scale. Instead of handling one huge task from a single user, cloud computing handles many smaller requests from multiple users. This allows the users to scale up their computer resources for a temporary processing spike without investing in actual servers, which may be recruited only rarely.
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post #3 of Old 02-10-2015, 01:49 AM
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Cloud computing and grid computing are some what similar but their is a difference. In grid computing more than one computer is used to solve the problem simultaneously where as in cloud computing it doesn't need any source it only needs services these services can access large amount of resources. A grid is not a part of the grid but the cloud uses the grid.
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post #4 of Old 06-17-2015, 12:58 AM
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Cloud Computing:
Using Cloud Computing, companies can scale upto High capacities immediately without investing in new infrastructure, training the people or new software licensing. It is more useful for small and medium scale businesses who wants to outsource their Data Center infrastructure, or some larger companies also prefer if they want to cut down the costs of building data-centers internally in order to get peak load capacity. In short, consumers use what they need and pay accordingly.

Grid Computing:

Grid Computing is the parent of Cloud computing, cloud actually evolves from Grid Computing. Grid is more useful in provisioning resources on-demand. Some people say Grid computing can also be called Cloud computing but it depends on what type of users using the Grid, if they are system administrators and integrators, they bother about how things are maintained in the Cloud and their work is to upgrade, install and virtualise the servers and applications. Consumers don’t care about how things are running at the system end, they simply try to check whether their application is working or not.
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post #5 of Old 04-28-2016, 12:22 AM
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Cloud is basically an extension to the object-oriented programming concept of abstraction.Grid systems are designed for collaborative sharing of resources.Grid technologies promise to change the way organizations tackle complex computational problems.
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post #6 of Old 05-26-2016, 04:18 AM
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Difference between Grid and Cloud Computing?
Cloud Computing:
Cloud computing is an extension of the object-oriented programming concept of abstraction. Abstraction, as explained earlier, removes the complex working details from visibility. All that is visible is an interface, which receives inputs and provides outputs. How these outputs are computed is completely hidden.
For example, a car driver knows that a steering wheel with turn the car in the direction they want to go; or that pressing the accelerator will cause the car to speed up. The driver is usually unconcerned about how the directions of the steering wheel and the accelerator pedal are translated into the actual motion of the car. Therefore, these details are abstracted from the driver.
A cloud is similar; it applies the concept of abstraction in a physical computing environment, by hiding the true processes from a user. In a cloud computing environment, data can exist on multiple servers, details of network connections are hidden and the user is none the wiser. In fact, cloud computing is so named because a cloud is often used to depict inexact knowledge of inner workings.
Cloud computing derives heavily from the Unix paradigm of having multiple elements, each excellent at one particular task, rather than have one massive element which isn’t as good.
Grid Computing:
Grid computing harnesses the idle processing power of various computing units, and uses that processing power to compute one job. The job itself is controlled by one main computer, and is broken down into multiple tasks which can be executed simultaneously on different machines. These tasks needn’t be mutually exclusive, although that is the ideal scenario. As the tasks complete on various computing units, the results are sent back to the controlling unit, which then collates them forming a cohesive output.
The advantage of grid computing is two-fold: firstly, unused processing power is effectively used, maximizing available resources and, secondly, the time taken to complete the large job is significantly reduced.
For a job to be suited to grid computing, the code needs to be parallelized. Ideally the source code should be restructured to create tasks that are as mutually exclusive as possible. That is not to say that they cannot be interdependent, however messages sent between tasks increase the time factor. An important consideration when creating a grid computing job is that whether the code is executed serially or as parallel tasks, the outcome of both must always be equal under every circumstance.
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post #7 of Old 07-06-2016, 12:11 AM
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Cloud is basically an extension to the object-oriented programming concept of abstraction. Here cloud means the Internet. For the end users it is just getting outputs for certain inputs, the complete process that lead to the outputs is purely invisible. Computing is based on virtualized resources which are placed over multiple servers in clusters.
Grid systems are designed for collaborative sharing of resources. It can also be thought of as distributed and large-scale cluster computing. A Grid is basically the one that uses the processing capabilities of different computing units for processing a single task.
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