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A Monte Carlo (MC) simulation methodology using high performance computing (HPC) has been proposed to characterize grain growth kinetics and recrystallisation phenomena during hot rolling of C-Mn and TRIP steels. The simulation framework comprises of mesoscale modelling of evolution of grain growth and microstructure incorporating the system energetics of grain boundary energy and stored energy which...
Recent progress in grid computing concept and its allied application technologies has helped us to device an efficient tool for heavy workload management. Concept of this middleware technology supports to build more and more complex application which can process large real time data set. Mobilization of under utilized resources among the needy processes can easily be carried out with distributed grid...
Grid technology enables large scale aggregation of computational and other resources for sharing across organizational boundaries. Resource broker, the gateway to a managed set of computing elements, handles the job submission on behalf of the user. In this paper we present the design and development of computational resource broker for grid using semantic resource description and matching technique...
Query optimization in sensor grids have two major challenges: (a) optimizing in a multi-query environment, and (b) continuous re-optimization occurring due to new query registrations and de-queries, i.e. queries being stopped unexpectedly. Addressing this problem continuously on a system-wide basis is an infeasible option. In this work called EstuaryDB, we propose a notion of emergent optimization,...
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