Theory and practice of non-intrusive active network measurements
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Summary
It is shown that novel hop-dependent priority queueing primitives can be used to design Measurement-Friendly Networks (MFNs), networks in which accurate non-intrusive measurements, which are robust to multi-hop queueing effects, can be performed.
- Type
- article
- Published
- 2006-01-01
- Cited by
- 4
- References
- 66
- OpenAlex
- https://openalex.org/W58528994
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:116764215
Keywords
Network packet, Computer science, Poisson distribution, Intrusiveness, Measure (data warehouse)
References
- A tool to infer characteristics of internet paths
- Ergodic theory
- Elements Of Queueing Theory
- Packet-Pair Flow Control
- Gradient Estimation Via Perturbation Analysis
- What signals do packet-pair dispersions carry?
- Multifractal Cross-Traffic Estimation
- A new end-to-end probing and analysis method for estimating bandwidth bottlenecks
- Measuring bottleneck link speed in packet-switched networks
- An Architecture for Differentiated Services
- Poisson versus periodic path probing (or, does PASTA matter?)
- First-order autoregressive gamma sequences and point processes
- A Course in Probability and Statistics
- Active probing using packet quartets
- CapProbe: a simple and accurate capacity estimation technique for wired and wireless environments
- Long Range Dependence
- On Arrivals That See Time Averages
- Bridging router performance and queuing theory
- An Introduction to the Theory of Point Processes
- A delay-based approach for congestion avoidance in interconnected heterogeneous computer networks
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