Measurements and analysis of end-to-end Internet dynamics
Measurements and analysis of end-to-end Internet dynamics
The iSLIP scheduling algorithm for input-queued switches
IEEE/ACM Transactions on Networking (TON)
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Issues and trends in router design
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Adding definition to active probing
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IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
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IEEE/ACM Transactions on Networking (TON)
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IEEE/ACM Transactions on Networking (TON)
Every microsecond counts: tracking fine-grain latencies with a lossy difference aggregator
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
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Inverse problems in queueing theory and Internet probing
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Network queue and loss analysis using histogram-based traffic models
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Efficient Gigabit Ethernet Switch Models for Large-Scale Simulation
PADS '10 Proceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation
Anomalous loss performance for mixed real-time and TCP traffic in routers with very small buffers
IEEE/ACM Transactions on Networking (TON)
Spectroscopy of traceroute delays
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
Opportunistic flow-level latency estimation using consistent netflow
IEEE/ACM Transactions on Networking (TON)
Router support for fine-grained latency measurements
IEEE/ACM Transactions on Networking (TON)
High-fidelity switch models for software-defined network emulation
Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking
High-fidelity per-flow delay measurements with reference latency interpolation
IEEE/ACM Transactions on Networking (TON)
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This paper provides an authoritative knowledge of through-router packet delays and therefore a better understanding of data network performance. Thanks to a unique experimental setup, we capture all packets crossing a router for 13 hours and present detailed statistics of their delays. These measurements allow us to build the following physical model for router performance: each packet experiences a minimum router processing time before entering a fluid output queue. Although simple, this model reproduces the router behaviour with excellent accuracy and avoids two common pitfalls. First we show that in-router packet processing time accounts for a significant portion of the overall packet delay and should not be neglected. Second we point out that one should fully understand both link and physical layer characteristics to use the appropriate bandwidth value.Focusing directly on router performance, we provide insights into system busy periods and show precisely how queues build up inside a router. We explain why current practices for inferring delays based on average utilization have fundamental problems, and propose an alternative solution to directly report router delay information based on busy period statistics.