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Data Stream Processing for Packet-Level Analytics.

Alessandra Fais1, Giuseppe Lettieri1, Gregorio Procissi1

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Summary

This study introduces a Stream Processing System (SPS) for high-performance network monitoring. The framework enables real-time packet analysis on multicores, achieving 10 Gb/s speeds for critical event detection.

Keywords:
data stream processingmulticore programmingpacket-level analysissoftware defined networking

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Area of Science:

  • Computer Science
  • Network Engineering

Background:

  • Accurate per-packet network monitoring is crucial for detecting performance issues and security threats.
  • Traditional Stream Processing Systems (SPSs) like Storm and Flink struggle with the high data rates required for real-time analysis.
  • Programmable switch platforms offer high speeds but lack expressiveness for complex queries.

Purpose of the Study:

  • To develop a unified framework that combines high performance and expressive power for network monitoring.
  • To leverage Stream Processing Systems (SPSs) on multicores for efficient packet stream analysis.
  • To enable real-time detection of critical network events and facilitate corrective actions.

Main Methods:

  • Captured network packets are converted into a tuple format for analysis.
  • Network monitoring queries are expressed as streaming pipelines executed on general-purpose programmable network devices.
  • A two-stage processing approach handles aggregated statistics from multiple devices.

Main Results:

  • The proposed system successfully handles realistic traffic at 10 Gb/s.
  • Simple optimizations allowed the system to scale to nearly 20 Gb/s for an example monitoring application.
  • The framework demonstrates viability for high-speed packet analysis.

Conclusions:

  • The SPS-based approach offers a viable solution for high-performance, expressive network monitoring.
  • Further optimizations are needed to support more complex analyses and higher data rates.
  • The unified framework shows promise for advanced network management and security.