There are four technologies that work behind the Cloud Computing Platforms, making cloud computing reliable, flexible and usable, and these technologies are:
- Service Oriented Architecture(SOA)
- Grid Computing
- Utility Computing
It’s a technique, which allows to share single physical instance of an application or resource among
multiple organizations or tenants (customers). It does so by assigning a logical name to a physical resource and providing a pointer to that physical resource when demanded.
And here’s a diagram to show the idea and sequence of Virtualization.
Service Oriented Architecture(SOA)
It helps to use applications as a service for other applications regardless the type of vendor, product or technology. Therefore, it is possible to exchange of data between applications of different vendors without additional programming or making changes to services.
And this is a good reference, to know more about SOA deeply. LINK
It’s a distributed computing in which a group of computers from multiple locations are connected with each other to achieve common objective. These computer resources are heterogeneous and geographically dispersed.
Grid Computing breaks complex task into smaller pieces. These smaller pieces are distributed to CPUs that reside
within the grid.
Grid size varies a considerable amount. Grids are a form of distributed computing whereby a Super Virtual Computer is composed of many networked loosely coupled computers acting together to perform large tasks.
It’s based on Pay per Use model. It offers computational resources on demand as a metered service. Cloud computing, grid computing, and managed IT services are based on the concept of Utility computing.
IBM, HP and Microsoft were early leaders in the new field of utility computing, with their business units and researchers working on the architecture, payment and development challenges of the new computing model. Google, Amazon and others started to take the lead in 2008, as they established their own utility services for computing, storage and applications.
Utility computing can support grid computing which has the characteristic of very large computations or a sudden peaks in demand which are supported via a large number of computers.