Difference between Cloud Computing and Grid Computing

Cloud computing refers to a client-server computing framework where resources are managed in a centralized fashion. It is provided as a pay-per-use service. Cloud computing makes the system all-time accessible.

Grid computing refers to a network of the same or different types of computers whose target is to provide an environment where a task can be performed by multiple computers together on a need basis. Each computer can work independently as well. Grid Computing is used internally by organizations.

Read through this article to find out more about Cloud Computing and Grid Computing and how they are different from each other.

What is Cloud Computing?

Cloud computing provides a platform to facilitate the on-demand availability of computer system resources, particularly data storage (cloud storage) and processing power, without active administration by the users.

Functions in large clouds are frequently spread over many locations, each of which is a data centre. Cloud computing relies on resource sharing to achieve coherence and economies of scale, generally through a "pay-as-you-go" approach, which can reduce capital expenditures but also expose users to unanticipated operational expenses. Cloud computing proponents also argue that it helps businesses to get their applications up and running faster.

Cloud computing allows you to put your complete computer infrastructure, including both hardware and software, online. It maintains data and apps via the Internet and remote central servers. The most simple and commonly used examples of cloud computing include Gmail, Yahoo mail, Facebook, Hotmail, Orkut, and others.

What is Grid Computing?

Grid computing is the use of widely spread computer resources to achieve a shared objective. A computer grid may be conceived of as a distributed system with numerous files and non-interactive tasks.

Grid computing differs from traditional high-performance computing systems such as cluster computing in that each node is dedicated to a certain job or application.

Grid computers are also more diverse and geographically distributed than cluster computers (and hence not physically linked). Although a single grid might be dedicated to a single application, grids are frequently utilized for several purposes. General-purpose grid middleware software libraries are frequently used to create grids.

Grid computing brings together machines from many administrative domains to achieve a shared goal, perform a single job, and then vanishes as fast as it appeared.

Grids can be small, for example, it can be confined to a network of computer workstations within a business. At the same time, the size of a grid might be fairly big, for example, public collaborations involving several organizations and networks.

Difference between Cloud Computing and Grid Computing

The following table highlights the major differences between Cloud Computing and Grid Computing:

Conclusion

The most important difference that you should note here is that Cloud Computing follows a client-server architecture, while Grid Computing follows a distributed architecture. In contrast to Grid Computing, Cloud Computing is highly flexible, scalable, and accessible.