GPON Analyzer - Frame Parser Module

Horváth, Tomáš; Jurčík, Michal; Oujezský, Václav; Skorpil, Vladislav

doi:10.1109/tsp.2019.8768882

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…The results of this work are based on previous experiments with the MS SQL database, described in the publications [38][39][40]. The main requirement for future work was to optimize the writing speed as much as possible and also to enable easy data acquisition, which may not comply with G.984 recommendations.…”

Section: Discussionmentioning

confidence: 99%

“…The intercepted data is processed at the application module level by parsing software written in the C# programming language, allowing data to be stored in a repository for GPON frames. The stored data is ready for processing or can be viewed using a web interface written in the Python programming language [36,38,39]. Our solution does not include a step to create COM-callable wrapper and call using Python's component object model/object linking and embedding (COM/OLE) from the complexity perspective.…”

Section: Prerequisitesmentioning

confidence: 99%

“…The first data storage tests were performed using Microsoft structured query language (MS SQL). MS SQL is a database system designed for a large volume of data, and a suitable design can divide the data into tables to avoid duplicate records [38][39][40]. Better results were obtained using the MongoDB document database system.…”

Section: Testing Scenariosmentioning

confidence: 99%

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MongoDB Database as Storage for GPON Frames

Holík

Horváth

Oujezský

et al. 2020

Sensors

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Prerequisitesmentioning

confidence: 99%