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Big Data Performance Evaluation Analysis Using Apache Pig
Gal Engelberg,Oded Koren,Nir Perel 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.11
While companies' usage of big data products increases, the question of which big data architecture is the most suitable to the company's needs is rising. This study presents an approach of running multiple processes which simulates preliminary data processing of sale transactions input dataset using Apache Pig, in order to find the best performing big data environment in terms of decentralization level over the HDFS. The case study approach can provide companies an additional tool for understanding the required investment on hardware or cloud computing resources. We analyze which decentralization level achieves the best processing time, and explore the behavior of performance's change according to the change in decentralization level and performance change according to the change in the size of the input dataset. The case study's insights are: When processing the same data flow over the same input dataset, processing time performance is better as long as decentralization level increases; As long as decentralization level increases the change between performances decreases significantly; Processing the same Pig data flow under the same scale of decentralization level over large input dataset performs better then processing it over a smaller input dataset - in terms of processing time per volume unit; As blocks-data nodes ratio becomes higher, the processing time becomes longer, and vice versa.
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Corrosion Behaviour of Type 316L Stainless Steel in Hot Caustic Aqueous Environments
Raul Davalos Monteiro,Nouryon Industrial Chemicals,Benjamin Krawczyk,Dirk L. Engelberg 대한금속·재료학회 2020 METALS AND MATERIALS International Vol.26 No.5
The corrosion behaviour of type 316L stainless steel in aqueous 30–50 wt%. NaOH at temperatures up to 90 °C has been elucidated. Exposure to room temperature environment showed parabolic weight loss behaviour, with corrosion rates of up to 0.4 mm/year. Higher NaOH concentrations and exposure temperatures resulted in a reduced stability of the electrochemical passivity domain, associated with higher corrosion rates. Exposure to de-aerated 50 wt%. NaOH presented corrosion rates of up to 0.5 mm/year at open circuit potential, with maximum corrosion rates under polarisation of up to ≈18 mm/year. The formation of a dark iron-oxy-hydroxide and nickel-oxide was observed, with exposure to temperatures in excess of 50 °C. The behaviour of type 316L stainless steel in hot caustic environment is compared to types 204, 304, 2205 stainless steel, and nickel alloy 200.
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