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Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels
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The NetSage measurement and analysis framework in practice.

Jennifer M Schopf1, Katrina Turner2, Dan Doyle1

  • 1Indiana University, Bloomington, Indiana USA.

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|November 15, 2021
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Summary
This summary is machine-generated.

Effective data transfer for research collaborations is challenging. The NetSage framework provides performance dashboards to visualize and understand research data movement, improving collaboration efficiency.

Keywords:
AnalyticsNetwork measurement and monitoringR&E NetworksVisualization

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Area of Science:

  • Computer Science
  • Data Science
  • Network Engineering

Background:

  • Research collaborations increasingly require efficient data sharing.
  • Achieving optimal data transfer performance remains a significant challenge in scientific endeavors.
  • Understanding research data movement is crucial for optimizing network performance.

Purpose of the Study:

  • To introduce the NetSage Measurement and Analysis Framework for understanding research data movement.
  • To describe the design, architecture, and development of the NetSage framework.
  • To highlight discoveries enabled by NetSage Dashboards for stakeholders.

Main Methods:

  • Collecting a broad spectrum of monitoring data related to data transfer.
  • Developing performance Dashboards tailored to specific stakeholder analysis needs.
  • Utilizing visualization techniques to interpret complex network performance data.

Main Results:

  • NetSage provides a comprehensive view of research data movement.
  • Performance Dashboards effectively visualize data transfer metrics.
  • The framework facilitated the discovery of key performance bottlenecks and insights.

Conclusions:

  • The NetSage framework offers a viable solution for addressing data transfer performance challenges.
  • Tailored dashboards enhance the understanding of research data movement for stakeholders.
  • NetSage empowers researchers and IT professionals to optimize data sharing infrastructure.