@article{MAKHILLJEAS201813115407,
    title = {Mathematical Model for the Research of Systems with
Massively Parallel Processing Based on Big Data},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {1},
    pages = {137-149},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.137.149},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.137.149},
    author = {Serbin,Moldagulova,Duisebekova,Satybaldiyeva,Orazbekov,Tursynkulova,Alimzhanova,Zhuanyshev,Rakhmetulayeva and},
    keywords = {Cluster,supercomputer,SAS campaign,mathematical model,stress testing,process},
    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.}
    }