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11-Dec-2019 06:45

Service oriented architecture has emerged as a superior model for building applications, and service oriented architecture concepts align exactly with the core tenets of grid computing.

Virtualization and provisioning of application resources involves publishing application components as services for use by multiple consumers, which may be people or processes, then orchestrating those services into more powerful business flows.

That rule could be fulfilled in different ways by the provisioning software in order to balance the requests of all consumers.

Treating infrastructure resources as a single pool and allocating those resources on demand saves money by eliminating under utilized capacity and redundant capabilities.

There is no need for peak workloads, because capacity can be easily added or reallocated from the resource pools as needed. Because the physical and logical structures are separate, the physical storage of data can be managed without affecting the access to logical storage structures.

The section contains the following topics: Grid computing is a new IT architecture that produces more resilient and lower cost enterprise information systems.

Application resources in the grid are the encodings of business logic and process flow within application software.

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Rather than dedicating a stack of software and hardware to a specific task, all resources are pooled and allocated on demand, thus eliminating under utilized capacity and redundant capabilities.

The purpose of a database is to store and retrieve related information.

A database server is the key to solving the problems of information management.

With grid computing, groups of independent, modular hardware and software components can be connected and rejoined on demand to meet the changing needs of businesses.

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The grid style of computing aims to solve some common problems with enterprise IT: the problem of application silos that lead to under utilized, dedicated hardware resources, the problem of monolithic, unwieldy systems that are expensive to maintain and difficult to change, and the problem of fragmented and disintegrated information that cannot be fully exploited by the enterprise as a whole.Grid computing also enables the use of smaller individual hardware components, thus reducing the cost of each individual component and providing more flexibility to devote resources in accordance with changing needs.