MongoDB Database as Storage for GPON Frames.

Area of Science:

• Computer Science
• Telecommunications Engineering

Background:

• Development of an open-source software solution for monitoring traffic in gigabit passive optical networks (GPON).
• Utilizes field-programmable gate array (FPGA) cards for data capture and parsing software for frame reassembly according to ITU-T G.984 standards.

Discussion:

• Addresses challenges in writing high-transfer-rate GPON data to a Mongo database system.
• Compares database writing approaches using Python and C# programming languages.
• Evaluates performance trade-offs between Python and C# for critical and non-critical operations.

Key Insights:

• High processing speeds in GPON traffic monitoring exceed Python's capabilities for critical operations.
• C# programming language is essential for handling time-critical data processing tasks.
• Python is effective for non-critical, time-consuming data processing, leveraging its rapid development.

Outlook:

• Future work may involve hybrid approaches combining Python's development speed with C#'s performance for GPON monitoring systems.
• Optimization of database interaction strategies for high-throughput network data is crucial.
• Further research into FPGA-based data pre-processing could enhance overall system efficiency.