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Passive and Active Measurement Conference (PAM) 2027

Type Conference
Organization Universidade Federal do Rio Grande - FURG
Event Format Physical
Size 51 - 100 approximate delegates
Registration Not Free
SPEAKING: FREE-TO-SPEAK

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Conference Description

Key Takeaways

  • Academic conference focused on network measurement research and systems-based analysis
  • Covers topics from hardware power profiling to user experience measurement across all network layers
  • Designed for network researchers, academic professionals, network operators, and data center engineers
  • Hosted by FURG (Universidade Federal do Rio Grande, Brazil) with support from NIC.br
  • Fully virtual format enabling global participation

About the Conference

The Passive and Active Measurement Conference (PAM) 2027 brings together researchers and network operators to present and discuss advances in network measurement and analysis. The conference emphasizes systems-based research using real-world data, with particular interest in work that demonstrates operational impact or relevance to the broader network research community.

PAM 2027 encourages contributions spanning all layers of the network stack, from hardware power profiling and virtualization in data centers to application profiling and user experience analysis. The event serves as a platform for early-stage measurement techniques and methods that show promise for practical application.

Research Focus Areas

  • Network measurement technologies and methodologies
  • Real-world data analysis and network performance evaluation
  • Hardware power profiling
  • Data center virtualization
  • Application profiling and user experience measurement

Who Should Attend

PAM 2027 is suited for university faculty, graduate students, network engineers, data center professionals, and technical staff from research institutions and industry. The conference addresses challenges in accurate network measurement, performance analysis, and the development of new methods for understanding network behavior across different environments.