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Computational grids present many obstacles to their effective exploitation by non-trivial applications. We present a grid middleware, implemented using Java and Jini, that eliminates these obstacles through the intelligent use of meta-data relating to the structure, behaviour and performance of an application. We demonstrate how different problem sizes and selection criteria (minimum execution time...
Scientists now have a greater desire to undertake work within global collaborations. This increases their dependence on distributed computation, storage and data resources. For this new paradigm of e-research to be easily adopted by the applied science community, it needs to be enabled by a new software infrastructure — Grid middleware. In this chapter, we describe ICENI, an integrated Grid middleware...
We introduce a component software architecture designed for demanding grid computing environments that allows the optimal performance of the assembled component applications to be achieved. Performance over the assembled component application is maintained through inter-component static and dynamic optimisation techniques. Having defined an application through both its component task and data flow...
We describe a general component software framework designed for demanding grid environments that provides optimal performance for the assembled component application. This is achieved by separating the high level abstract description of the composition from the low level implementations. These implementations are chosen at run time by performance analysis of the composed application on the currently...
The ICENI middleware utilises information captured within a component based application in order to facilitate Grid-based scheduling. We describe a system of application related meta-data that features a separation of concerns between meaning, behaviour and implementation, which allows for both communication and implementation selection at run-time, while providing the user with a flow-based programming...
Effective exploitation of Computational Grids can only be achieved when applications are fully integrated with the Grid middleware and the underlying computational resources. Fundamental to this exploitation is information. Information about the structure and behaviour of the application, the capability of the computational and networking resources, and the availability and access to these resources...
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