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Cloud Computing Vs Grid Computing: Difference Between Cloud Computing & Grid Computing

Cloud Computing Vs Grid Computing: Difference Between Cloud Computing & Grid Computing

Q: 1. What are the advantages of Cloud Computing?

Since the Cloud Computing provider maintains the core infrastructure, covering software and hardware, Cloud Computing reduces IT operating costs. Those managed components are usually more dependable and secure than a traditional corporate data center. These benefits allow IT staff to focus on tasks that benefit the company more directly. The Cloud is also accessible, easy, massively scalable, and simple to use, reducing the time it takes to develop and implement software applications. It gives businesses access to a slew of innovative services that support the most popular application architectures. It uses platforms, containers, Cloud-based computing, machine learning, Big Data analytics, the Internet of Things, etc.

Q: 2. What are the disadvantages of Cloud Computing?

Like any other technology, cloud computing also has its own set of drawbacks. Firstly, this technology might have outages and other technological problems. Even the most outstanding cloud computing service provider firms may run into problems despite maintaining excellent maintenance standards. Another disadvantage of using cloud computing technology is the security risk. Before implementing this technology, you should be aware that you will be handing over all your company's critical information to an external service provider that hackers may readily access. When working with cloud computing technology, interruption should also be considered because the Cloud provider may have power outages, poor Internet access, low service maintenance, among other things. Finally, many service providers also restrict their users' bandwidth consumption.

Q: 3. What are the different services offered in Cloud Computing?

Cloud Computing has a groundbreaking effect on the whole world. Even after being a relatively new technology, it is being utilized by a variety of organizations, including large enterprises, small businesses, NGOs, governmental organizations, and even individual consumers. Cloud Computing services provide consumers with a variety of functions, regardless of the type of service or the type of company that uses them. These include an email sending and receiving platform, as well as a storage, backup, and data retrieval platform. It also allows you to create and test apps and analyze data. Audio and video streaming are also available through Cloud services, as well as software delivery.

By Pavan Vadapalli

Updated on Apr 11, 2024 | 7 min read | 6.4k views

Table of Contents

The similarity between cloud computing and grid computing is uncanny. The underlying concepts that make these two inherently different are actually so similar to one and another, which is responsible for creating a lot of confusion. Both cloud and grid computing aims to provide a similar kind of services to a large user base by sharing assets among an enormous pool of clients.

Both of these technologies are obviously network-based and are capable enough to sport multitasking. The availability of multitasking allows the users of either of the two services to use multiple applications at the same time. You are also not limited to the kind of applications that you can use. You are free to choose any number of applications that can accomplish any tasks that you want. Learn more about cloud computing applications.

Now the way each of these technologies makes the resources available to the user base is actually very different. Grid computing aims to make all the available resources virtual, meaning all the computing resources would be made available on a grid to store vast amounts of data. Cloud computing, however, is very different from grid computing in this regard. Cloud computing never lets any application access the available resources directly.

Instead, all the resources are made available for use by any application via the use of the internet. Another critical difference between grid and cloud computing is that the available resources are distributed to the computers connected to the specific grid in grid computing.

Whereas in cloud computing, the management of all the available computing resources is done in a central unit. That was a very brief overview of what makes each of these methods of computing unique. In order to understand grid computing vs. cloud computing in a holistic way, we must first take a look at them individually.

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Grid Computing

With the help of a number of computers all linked together on a network, grid computing aims to process a massive volume of data by pooling in all the available computing power from all the computers on the network. If you employ grid computing to solve a problem, grid computing would instruct all the available processing units currently on the grid to work on the same issue, thus reducing the amount of time taken to solve the problem simultaneously.

Essentially, the definition of grid computing would be that it is a massive network of computers all connected with each other, all working in harmony to solve a common problem. The solution to the problem is found out by dividing the problems into smaller units known as grids. Grid computing follows a distributed architecture meaning the tasks given to any computer over the grid are managed and given meticulously to avoid any clashes and minimize the overall time is taken (there is no time dependency).

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Cloud Computing

Cloud computing is the type of computing that is accomplished via the help of the internet. Any application which is running on the cloud computing setup cannot access the resource pool directly. Instead, the application must interact with the internet to gain access to any of the available computing power.

It is definitely a testament to the modern advancement which have been achieved in the 21st century. Cloud computing works best for remote access to any IT resource which might not be available but, at the same time, is very crucial for a computing problem to be solved.

Cloud computing allows for on-demand access to a vast resource pool, which is dynamically allocated. Since there is just a need for one main computer to handle resource allocation; thus, the cost of setting up the operations is also reduced. Cloud computing allows users to only use the applications they want without worrying about any of their own personal data. Essentially you pay only for what you use and what you need.

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Difference Between Grid and Cloud Computing

Now that we have understood the particular meaning of the two terms, we can now pit grid computing vs. cloud computing, head to head to understand what differences lie there:

1. The difference in technology

In Grid computing, the task at hand is broken down into smaller problems. Through a distributed network, the tasks are shared among the network of interconnected computers. Whereas, in cloud computing, there is just one central computing unit that takes care of the distribution of all the available resources. The resources can only be accessed with the help of the internet.

2. The difference in the way of their functioning

The primary function that grid computing is used for is scheduling jobs, where the available resources are divided and distributed into a number of small tasks that every computer on the grid is tasked to do.

After completing all these little tasks, all the allocated resources are acquired back by the main machine. Cloud computing, on the other hand, behaves on a need basis. Whenever there is a need for resources, the central computing unit allocates all the available resources and takes them back when the task is completed.

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3. The difference in their application

Cloud in cloud computing is actually a reference to the internet. The primary use of cloud computing is to ask for the resources whenever the need for them arises without having to buy either the software or the hardware by yourself. The cloud takes care of all resource allocation and management.

Whereas, researchers actually use grid computing to perform academic research because the pooling of such a considerable amount of computing power in one place allows for a faster and an efficient way to handle massive amounts of data. Not only does grid computing can handle massive amounts of data, but it can perform the required actions and provide the desired results.

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4. The difference in resources

Grid computing requires the presence of physical hardware or software to be connected on the grid. The location of these resources, however, is not important as long as they all are connected. In cloud computing, there is just one central unit that takes care of everything.

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