4 Differences Between Grid Computing and Cloud Computing

A processor architecture that works to reach the main objective. It combines various resources from different domains to reach this objective. This process architecture is known as Grid Computing. Working on the same task through different computers is the main aim of grid computing. This help in working as a supercomputer.

Within a network, a grid works on various tasks. This is not the only capability of grid computing, on specialized tasks, it is also capable of working. Problems that are too big for the supercomputers, grid computing is designed to solve these problems. While processing numerous smaller problems, it also maintains flexibility. Demands of large information processing are rising daily. To accommodate this, computing grids deliver a multiuser infrastructure.

Cloud Computing is one of the most advanced technologies in this era of technological advancements. Computing that provides elasticity, flexibility, and mobility is known as cloud computing. In this new style of computing, all servers are hosted online and accessible anytime from anywhere.

Tech giants such as Microsoft are providing material to understand cloud computing. Microsoft Azure Fundamentals AZ-900 is a course offered by Microsoft. With proper AZ-900 preparation, an individual can understand a lot about cloud computing.

AZ-900 preparation material is enough to understand the basic concepts of cloud computing. To understand advanced concepts, you must dwell in more advanced courses. AZ-900 preparation can give you a good start.

Here are some differences between Grid Computing and Cloud Computing for further understanding:

Basic Difference:

Remote servers that are hosted on the internet to manage and store data are used in cloud computing. This data can be from any server or any computer from anywhere. Anytime on-demand access is guaranteed by cloud servers. Based on network technology, cloud computing is used to define a new class of computing. Software and hardware are networked and integrated into cloud computing.

While a distributed architecture of various computers that are connected together to resolve any given problem is known as grid computing. While using grid computing independent tasks are assigned to each computer and using all computers are connected to a common network.

By using some scheduling server or directly, all systems in grid computing can communicate with each other. In different locations, through WAN, grid computing incorporates systems.

Types of Grid and Cloud Computing:

Grid Computing has various 3 types. These types are enlisted below.

  • Distributed Information Systems
  • Distributed Computing Systems
  • Distributed Pervasive Systems

Cloud computing deployments has been segregated into various type after its evolution. These types are enlisted below:

  • Private Clouds
  • Hybrid Clouds
  • Public clouds
  • Community Clouds

Goals of Grid and Cloud Computing:

Grid computing has a large scale goal. It focuses on networks. It focuses on many things including uniform and reliable access to data, pervasive and resource sharing. It also focuses on computation power, storage capacity and delivering a computer as a utility.

While cloud computing mainly focuses on increasing returns by reducing costs. Cloud computing also has a goal of increasing mobility, reliability, scalability and elasticity in an effective style.

Pros of Grid and Cloud Computing:

Grid computing has many advantages. Some advantages are enlisted below:

  • If you want to deal with idle energy on the computer, grid computing is the best choice. It can use it in a more sensible and efficient way.
  • When huge projects are involved, it helps to save money. In splitting up and distributing the work into multiple computers, grid computing provides a lot of help.
  • In case of failure of any computer, your work will not stop. Another computer will pick up the work of that computer. In the meanwhile, you can resolve the issue. This process makes the system more reliable.
  • Access to additional resources is possible if you are using grid computing. It also saves space.

Cloud computing has its own advantages that no one can neglect. Some of these advantages are enlisted below:

  • Cloud can store large amounts of data safely. Data on the cloud can be accessed anytime from anywhere. Data on the cloud is more secure than on-premise servers. Cloud providers spend a huge amount of money to secure data.
  • Cloud provides the best performance if your internet supports bandwidth. Cloud runs on the latest technology and servers. All data centers are highly secure and compliant with regulation. This increases the efficiency and performance of the cloud.
  • Cloud has a fast backup and recovery system. It is cost-efficient and you can easily increase your capacity r space on the cloud by just contacting your cloud service provider. Not only this, it will automatically install the latest updates and patches provided by the cloud provider.
  • Anytime from any part of the world cloud is easily accessible. You just need the internet and any device(tablet, Laptop, Mobile etc).

Which is best?

Both have their own advantages, it depends on what are your business requirements or what is your business model. Depending on your business model, you will choose which technology best suits you.

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