This contribution describes a very efficient methodology for the computation of the periodic steady state solution of electric systems with nonlinear components. It combines the advantages of applying a Newton techniq...
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ISBN:
(纸本)0780375181
This contribution describes a very efficient methodology for the computation of the periodic steady state solution of electric systems with nonlinear components. It combines the advantages of applying a Newton technique for the fast time domain periodic steady state system solution with the application of parallel multi-processing technology based on the parallel Virtual Machine (PVM) computer platform. A comparison of the computer efficiency between the solution obtained with the described methodology and the conventional sequential computation process is presented.
Data migration and batch processing remain rudimentary processes in database systems while dealing with enormous volumes of data from multiple sources. Even before running Extract, Transform, Load (ETL) on parallel ar...
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ISBN:
(纸本)9781665495011
Data migration and batch processing remain rudimentary processes in database systems while dealing with enormous volumes of data from multiple sources. Even before running Extract, Transform, Load (ETL) on parallel architectures, extensive querying and performance in a way challenges are required. Real-time data analysis, together with data aggregation and transformation, remains a problem for decision-making since data warehouses retain historical data and update it on a regular basis. However, optimization lessens resource consumption as well as ensures parallelprocessing efficiency while reducing the time window. The ultimate purpose of this paper is to instantly improve the performance of parallel data loading through concurrency. The conducted analysis shows concurrency on the Oracle database significantly improves the performance gain along with data loading time.
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