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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.
With this architecture, each new system can be rapidly provisioned from the pool of components.Virtualization and provisioning of infrastructure resources mean pooling resources together and allocating to the appropriate consumers based on policies.For example, one policy might be to dedicate enough processing power to a web server that it can always provide sub-second response time.Lower costs derive from increasing the utilization of resources and dramatically reducing management and maintenance costs.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.To address simultaneously the problems of monolithic systems and fragmented resources, grid computing achieves a balance between the benefits of holistic resource management and flexible independent resource control.
IT resources managed in a grid include: Infrastructure grid resources include hardware resources such as storage, processors, memory, and networks as well as software designed to manage this hardware, such as databases, storage management, system management, application servers, and operating systems.
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.
Application resources in the grid are the encodings of business logic and process flow within application software.
These may be packaged applications or custom applications, written in any programming language, reflecting any level of complexity.
Managing hardware and software resources holistically reduces the cost of labor and the opportunity for human error.