Serbin  Vassiliy, Moldagulova  Aiman, Duisebekova  Kulanda, Satybaldiyeva  Ryskhan, Orazbekov  Sayatbek, Tursynkulova  Akbota, Alimzhanova  Laura, Zhuanyshev  Ilyas, Rakhmetulayeva  Sabina, Bektemyssova  Gulnara, 
    Mathematical Model for the Research of Systems with
Massively Parallel Processing Based on Big Data,
    Journal of Engineering and Applied Sciences,
    Volume 13,Issue 1,
    2018,
    Pages 137-149,
    ISSN 1816-949x,
    jeasci.2018.137.149,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2018.137.149)
    Abstract: The right choice of technologies for managing big data banks will solve almost all key tasks of banks.
The goal of the study is to make a comparative performance test and crash-test for Greenplum, Netezza, Exadata
and Oracle systems on OS AIX based on big data SAS campaign management, also, formalization this
processes by mathematical modeling. The 14 SAS campaigns of a large Kazakhstani bank were selected as big
data. In the testing took into account the time and load scaling.
    Keywords: Cluster;supercomputer;SAS campaign;mathematical model;stress testing;process