Grid computing has the design goal of solving problems too big for any single supercomputer, whilst retaining the flexibility to work on multiple smaller problems. Thus grid computing provides a multi-user environment.
This implies the use of secure authorization techniques to allow remote users to control computing resources.
Grid computing involves sharing heterogenous resources (based on different platformss, hardware/software [[computer architecture | architectures]], computer languages), located in different places belonging to different administrative domains over a network using open standards. In short, it involves virtualizing computing resources. Functionally, one can classify grids as:
Globus has protocols to handle
XML-based web services offer a way for accessing diverse services/applications in a distributed environment. As of 2003 the world of Grid computing and Web Services have started to converge to offer Grid as a web service (Grid Service). The Open Grid Services Architecture (OGSA) has defined this environment, which will offer several functionalities adhering to the semantics of the Grid Service.
Grid offers a way to solve Grand Challenge problems like protein folding, drug discovery, financial modelling, earthquake simulation, climate/weather modelling etc. Grids offer a way of using the information technology resources optimally in an organisation. They also offer a means to offer information technology as a utility bureau for commercial clients, with those clients paying only for what they use, as with electricity or water.
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