MongoDB Database as Storage for GPON Frames

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU137636" target="_blank" >RIV/00216305:26220/20:PU137636 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1424-8220/20/21/6208" target="_blank" >https://www.mdpi.com/1424-8220/20/21/6208</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s20216208" target="_blank" >10.3390/s20216208</a>

Result language

angličtina

Original language name

MongoDB Database as Storage for GPON Frames

Original language description

This work is focused on creating an open-source software-based solution for monitoring traffic transmitted through gigabit passive optical network. In this case, the data are captured by the field-programmable gate array (FPGA) card and reassembled using parsing software from a passive optical network built on the International Telecommunication Unit telecommunication section (ITU-T) G.984 gigabit-capable passive optical network GPON recommendation. Then, the captured frames are converted by suitable software into GPON frames, which will be further processed for analysis. Due to the high transfer rate of GPON recommendations, the work describes the issue of writing to the Mongo database system. In order to achieve the best possible results and minimal loss of transmitted frames, a series of tests were performed. The proposed test scenarios are based on different database writing approaches and are implemented in the Python and C# programming languages. Based on our results, it has been shown that the high processing speed is too high for Python processing. Critical operations must be implemented in the C# programming language. Due to rapid application development, Python can only be used for noncritical time-consuming data processing operations.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20205 - Automation and control systems

Project

<a href="/en/project/VI20192022135" target="_blank" >VI20192022135: Deep hardware detection of network traffic of next generation passive optical network in critical infrastructures</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

SENSORS

ISSN

1424-8220

e-ISSN

1424-3210

Volume of the periodical

20

Issue of the periodical within the volume

21

Country of publishing house

CH - SWITZERLAND

Number of pages

13

Pages from-to

1-13

UT code for WoS article

000589251900001

EID of the result in the Scopus database

2-s2.0-85094576418