Fpga Network Card And System For Gpon Frames Analysis At Optical Layer

Oujezský, Václav; Horváth, Tomáš; Jurčík, Michal; Skorpil, Vladislav; Holík, Martin; Kvas, Marek

doi:10.1109/tsp.2019.8769054

Cited by 5 publications

(7 citation statements)

References 9 publications

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“…The entire circuit diagram of the topology of the currently used optical network is shown in Figure 1. The FPGA module developed by our partner is connected to the passive optical network, which captures the transmitted bits in the downlink direction, i.e., from the OLT unit to the ONU unit [36]. The captured data are reassembled into higher layer frames and stored in a folded form.…”

Section: Prerequisitesmentioning

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%

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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: Prerequisitesmentioning

confidence: 99%

Section: Prerequisitesmentioning

confidence: 99%

MongoDB Database as Storage for GPON Frames

Holík

Horváth

Oujezský

et al. 2020

Sensors

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“…For traffic detection purposes, transmission over a passive optical network is captured by our developed FPGA network card [20]. The block diagram is shown in the Figure 4.…”

Section: Design Of Ms-sql Gpon Databasementioning

confidence: 99%

“…The parser is written in C#. More information could be found in [20]. Microsoft Structured Query Language (MS SQL) database system is selected to save the assembled data because it allows more advanced data operations.…”

Section: Design Of Ms-sql Gpon Databasementioning

confidence: 99%

Application for GPON Frame Analysis

2019

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This article presents a design of a database model used to gather and analyze data frames transmitted over gigabit passive optical network (GPON) in the downstream direction. An issue with this kind of system is the difficulty in analyzing a transmission on the optical part which is caused by the difference among devices using Ethernet frames technology and passive optical network technology with usage gigabit encapsulation method. In this article, a principle of the downstream direction is described. Next, the design of the database model for the analysis of transmitted data is discussed. Based on the design and implementation of the database, a script capable of processing data gathered by a programmable network card is proposed. The script for physical layer operation, admission, and maintenance (PLOAM) messages analysis is written in the Python programming language.

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“…The communication medium (optical fiber) and GPON maximal symmetrical transmission speed of 2.48832 Gbps make the data capture process challenging. The downstream data are mirrored using an optical splitter into a network probe consisting of a hardware accelerated signal decoder [20]. The captured data are sent to a message database, which is the source for the learning data used in this paper.…”

Section: Introductionmentioning

confidence: 99%

GPON PLOAMd Message Analysis Using Supervised Neural Networks

et al. 2020

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This paper discusses the possibility of analyzing the orchestration protocol used in gigabit-capable passive optical networks (GPONs). Considering the fact that a GPON is defined by the International Telecommunication Union Telecommunication sector (ITU-T) as a set of recommendations, implementation across device vendors might exhibit few differences, which complicates analysis of such protocols. Therefore, machine learning techniques are used (e.g., neural networks) to evaluate differences in GPONs among various device vendors. As a result, this paper compares three neural network models based on different types of recurrent cells and discusses their suitability for such analysis.

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Fpga Network Card And System For Gpon Frames Analysis At Optical Layer

Cited by 5 publications

References 9 publications

MongoDB Database as Storage for GPON Frames

MongoDB Database as Storage for GPON Frames

Application for GPON Frame Analysis

GPON PLOAMd Message Analysis Using Supervised Neural Networks

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