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Hybrid Approach for Cloud Services Selection Adequate to Big Data

Hybrid Approach for Cloud Services Selection Adequate to Big Data

von Saly Elbaz
Softcover - 9786203029147
54,90 €
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Beschreibung

Big data needs large storage capacity and strong processing frameworks for cleaning, processing, and analysis. Fortunately, cloud computing offers many services and processing frameworks that facilitate storage and processing of big data. But the issue here is how to choose the best suited processing framework adequate to big data of the financial services.we used MCDM methods to solve this decision problem and to evaluate five big data processing frameworks (Spark, Hadoop, Flink, Storm, and Samza) based on twelve criteria.

Big data needs large storage capacity and strong processing frameworks for cleaning, processing, and analysis. Fortunately, cloud computing offers many services and processing frameworks that facilitate storage and processing of big data. But the issue here is how to choose the best suited processing framework adequate to big data of the financial services.we used MCDM methods to solve this decision problem and to evaluate five big data processing frameworks (Spark, Hadoop, Flink, Storm, and Samza) based on twelve criteria.

Fuzzy Analytical Hierarchy Process (FAHP) Using Geometric Mean Method to Select Best Processing Framework

Details

Verlag LAP LAMBERT Academic Publishing
Ersterscheinung 28. Mai 2021
Maße 22 cm x 15 cm x 0.8 cm
Gewicht 185 Gramm
Format Softcover
ISBN-13 9786203029147
Seiten 112

Schlagwörter

Technologie - allgemein