Abstract

The article considers how to speed up data processing in the construction route in DTN network, in particular by applying multi-thread processing using the PHP library “pthreads”, selecting the noSQL MongoDB database and applying additional mathematical methods (fuzzy logic) to reduce the amount of data. The results of testing the PHP library “pthreads” on the obtained data set are presented. And also, it is shown the results of comparing the execution time of queries in the DBMS MySQL and MongoDB.

Highlights

  • IntroductionThe software market of computer systems has a large number of commercial database management systems, which are various in functional capabilities, for all mass computer models and for different operating systems

  • The software market of computer systems has a large number of commercial database management systems, which are various in functional capabilities, for all mass computer models and for different operating systems.Even before an experienced database administrator, there is often a difficult choice between databases of the same class, especially between databases that are different in nature

  • As can be seen from the graph, all the threads are involved in the processing of data. This is due to the fact that in MongoDB since version 3.0 it is used the new WiredTiger storage engine which works with all available threads, but none of the threads is loaded for maximum performance

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Summary

Introduction

The software market of computer systems has a large number of commercial database management systems, which are various in functional capabilities, for all mass computer models and for different operating systems. This article presents the results of a comparative analysis of classical relational databases with unstructured, appeared not so long ago, using the example of freely distributed database management systems MySQL and MongoDB [1]. Another problem that arises before the user of data of a larger size is the problem of applying modern methods of parallelizing data processing. Small project teams may not have the financial opportunity to hire software architects and developers to implement complex functionality In these cases, companies have to work with accessible tools and technologies. Devices installed on these objects are connected a dynamic network through WI-FI

Formulation of the problem
METHODS
Testing of database management systems
Conclusions
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