What is Grid Computing? Give the major differences between Grid and Cloud computing.
GRID COMPUTING
- Grid computing emerged as an extension of cluster computing in the early 1990s. Grid computing analogous to the electricity grid, suggested a new technique for accessing big processing capacity, massive storage facilities, and a range of services. Users can "use" resources in the same manner that they use conventional utilities like electricity, gas, and water.
- Grids began as aggregations of geographically distributed clusters linked via Internet connections. These clusters belonged to several organizations, and agreements were negotiated for them to share processing capacity. A computer grid, as opposed to a "big cluster," was a dynamic aggregation of heterogeneous computer nodes on a national or even global scale.
The major differences between Grid and Cloud computing:-
Definition of Grid computing
Grid computing is a distributed architecture in which numerous computers are linked to address a certain task. Grid computing involves connecting all servers or personal computers to a shared network through WAN and assigning autonomous duties to each machine. All of these systems can communicate with one another either directly or through scheduling systems. It is similar to a cluster, except that each node on the grid has its manager. A single system manages all of these resources. Grid computing connects systems in various areas over WAN.
Types of Grid computing
Grid computing has also following types:
• Distributed Computing systems
• Distributed Information systems
•Distributed Pervasive Systems
Goals of Grid computing
Grid computing is network-centric and so has a large-scale purpose. It focuses on resource sharing, ubiquitous, consistent, and dependable access to data, storage capacity, and computing power. It also emphasizes the delivery of a computer as a utility.
Pros of Grid computing
Grid computing also has its advantages as below:
- Grid computing is useful in dealing with idle energy in computers. It is more efficient to put it into more sensible use. . It helps to save money when huge projects are involved.
- Grid computing helps in distributing and splitting up the work into multiple computers.
- Whenever a failure occurs it would not stop the work as another computer will pick up the work, making this system more reliable.
- Space is saved and access to additional resources is made possible.
User Management of Grid computing
The management is decentralized, and it also has virtual organization-based management.
Definition of Cloud computing
- Cloud computing is defined as the use of distant computers, often housed on the internet, to store or manage data. This information might come from a computer or server. The cloud enables any user to ensure on-demand access to data stored in the cloud at any time.
- Cloud computing is a term used to describe a new type of computing that is based on network technologies. It has hardware and software that is integrated and networked.
Types of Cloud computing
After its evolution, cloud computing deployments has been segregated into:
• Public Clouds
• Private Clouds
• Community Clouds
• Hybrid Clouds
Goals of Cloud computing
Cloud computing is primarily concerned with lowering costs and increasing profits. It also aims to improve scalability. as well as availability and dependability.
Pros of Cloud computing
Cloud computing has many advantages such as:
- Clouds can store large amounts of data properly and safely. Data stored in the cloud is highly secure and can be accessed whenever needed.
- Cloud is easily accessible from any part of the world. You just need to have internet connectivity
- Cloud runs on the latest network and all data centers being secure ensure that it provides the best performance.
- It is cost-efficient and has fast backup and data restoration it also has automatic software updates.
User Management of Cloud computing
- A centralized system managing the entire cloud can work with this setup or it can be delegated to any third party.
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