Modeling Network Latency
Research on modeling network latency for distributed systems as a real-world case study of various distribution families. Explores statistical modeling approaches for understanding and predicting network performance in distributed computing environments.
Key Research Findings
Network latency exhibits complex multi-modal distributions requiring sophisticated modeling
Traditional Gaussian assumptions fail for real-world network performance data
Mixture models and heavy-tailed distributions better capture latency characteristics
Statistical modeling enables predictive performance optimization in distributed systems
Technical Details & Impact
Technologies Used
Research Status
Last updated: 2015
Research Impact
Provided foundational insights into modeling network performance, influencing the design of robust distributed systems by accounting for real-world latency characteristics.
This research is part of ongoing open-source development. Contributions, discussions, and collaborations are welcome.