Saly Elbaz

Hybrid Approach for Cloud Services Selection Adequate to Big Data

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

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 112
• Erscheinungstermin: 28. Mai 2021
• Englisch
• Abmessung: 220mm x 150mm x 7mm
• Gewicht: 185g
• ISBN-13: 9786203029147
• ISBN-10: 6203029149
• Artikelnr.: 62142992

Autorenporträt

B.Sc. of Information Systems 2015, Pre-Master-Abschluss 2017, Fakultät für Computer und Information, Mansoura University.