Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
End-to-end Internet packet dynamics
SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
Trajectory sampling for direct traffic observation
IEEE/ACM Transactions on Networking (TON)
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
New directions in traffic measurement and accounting
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Efficient implementation of a statistics counter architecture
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Simple network performance tomography
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Non-stationarity and high-order scaling in TCP flow arrivals: a methodological analysis
ACM SIGCOMM Computer Communication Review
Bridging router performance and queuing theory
Proceedings of the joint international conference on Measurement and modeling of computer systems
An algebraic approach to practical and scalable overlay network monitoring
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Improving accuracy in end-to-end packet loss measurement
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Towards unbiased end-to-end network diagnosis
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
The power of slicing in internet flow measurement
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
ProgME: towards programmable network measurement
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Accurate and efficient SLA compliance monitoring
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Designing packet buffers for router linecards
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
Safe and effective fine-grained TCP retransmissions for datacenter communication
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Two samples are enough: opportunistic flow-level latency estimation using netflow
INFOCOM'10 Proceedings of the 29th conference on Information communications
Proceedings of the ACM SIGCOMM 2010 conference
Measurement and analysis of single-hop delay on an IP backbone network
IEEE Journal on Selected Areas in Communications
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New applications such as soft real-time data center applications, algorithmic trading, and high-performance computing require extremely low latency (in microseconds) from networks. Network operators today lack sufficient fine-grain measurement tools to detect, localize, and repair delay spikes that cause application service level agreement (SLA) violations. A recently proposed solution called LDA provides a scalable way to obtain latency, but only provides aggregate measurements. However, debugging application-specific problems requires per-flow measurements since different flows may exhibit significantly different characteristics even when they are traversing the same link. To enable fine-grained per-flow measurements in routers, we propose a new scalable architecture called reference latency interpolation (RLI) that is based on our observation that packets potentially belonging to different flows that are closely spaced to each other exhibit similar delay properties. In our evaluation using simulations over real traces, we show that while having small overhead, RLI achieves a median relative error of 12% and one to two orders of magnitude higher accuracy than previous per-flow measurement solutions. We also observe RLI achieves as high accuracy as LDA in aggregate latency estimation, and RLI outperforms LDA in standard deviation estimation.