Key performance indicators (KPIs), which can be extracted from the
standardized interfaces of network equipment defined by current standards,
constitute a primary data source that can be leveraged in the development of
non-standardized new equipment, architectures, and computational tools. In
next-generation technologies, the demand for data has evolved beyond the
conventional log generation or export capabilities provided by existing
licensed network monitoring tools. There is now a growing need to collect such
data at specific time intervals and with defined granularities. At this stage,
the development of real-time KPI extraction methods and enabling their exchange
between both standardized/commercialized and non-standardized components or
tools has become increasingly critical. This study presents a comprehensive
evaluation of three distinct KPI extraction methodologies applied to two
commercially available devices. The analysis aims to uncover the strengths,
weaknesses, and overall efficacy of these approaches under varying conditions,
and highlights the critical insights into the practical capabilities and
limitations. The findings serve as a foundational guide for the seamless
integration and robust testing of novel technologies and approaches within
commercial telecommunication networks. This work aspires to bridge the gap
between technological innovation and real-world applicability, fostering
enhanced decision-making in network deployment and optimization.

Questo articolo esplora i giri e le loro implicazioni.

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