Grid Computing Master Essay

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Grid computing is a concept that refers to the group of technologies which are used for seamless and scalable access of distributed resources. It is used for sharing, selection and aggregation of various geographically distributed computer resources. A grid client deficient in some kind of resource can access the resources of other grid clients.


GEMLCA was developed by the research team of Centre for Parallel Computing at the University of Westminster within the UK e-Science OGSA TestBed project. GEMLCA or Grid Execution Management for Legacy Code Architecture is a language independent solution used to deploy existing legacy code applications as a Grid service. Any application written in any language can be deployed as a grid service without the need of even legacy code i.e. binary codes and source code.
It is a computing system consisting of PC clusters. Legacy applications are deployed on these servers as grid services. Compute servers are then accessed by various grid clients for required resources.
Grid host environment is used to implement service oriented grid layer which is based on Open Grid Services Architecture (OGSA) specifications e.g. GT3, GT4, g-Lite or the OMII middleware. This layer is required to connect compute server to OSGA built grid. The selected grid should allow the grid clients to access legacy applications available in compute server like a grid or web services. Administrators should be able to deploy new legacy applications on compute server using different job managers like Condor, Fork, PBS, etc.
GEMLCA resources are consists of legacy codes which are deployed as grid services. These resources are installed on compute server. ...
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