TY  - JOUR
T1  - Mathematical Model for the Research of Systems with
Massively Parallel Processing Based on Big Data
AU - Vassiliy, Serbin AU - Aiman, Moldagulova AU - Kulanda, Duisebekova AU - Ryskhan, Satybaldiyeva AU - Sayatbek, Orazbekov AU - Akbota, Tursynkulova AU - Laura, Alimzhanova AU - Ilyas, Zhuanyshev AU - Sabina, Rakhmetulayeva AU - Gulnara, Bektemyssova 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 1
SP  - 137
EP  - 149
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.137.149
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.137.149
KW  - Cluster
KW  -supercomputer
KW  -SAS campaign
KW  -mathematical model
KW  -stress testing
KW  -process
AB  - 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.
ER  -