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End-to-end packet delay and loss behavior in the internet

Open access
Bolot, Jean-Chrysotome·1993·Conference proceedings on Communications architectures, protocols and applications

Abstract

We use the measured round trip delays of small UDP probe packets sent at regular time intervals to analyze the end-to-end packet delay and loss behavior in the Internet. By varying the interval between probe packets, it is possible to study the structure of the Internet load over different time scales. In this paper, the time scales of interest range from a few milliseconds to a few minutes. Our observations agree with results obtained by others using simulation and experimental approaches. For example, our estimates of Internet workload are consistent with the hypothesis of a mix of bulk traffic with larger packet size, and interactive traffic with smaller packet size. We observe compression (or clustering) of the probe packets, rapid fluctuations of queueing delays over small intervals, etc. Our results also show interesting and less expected behavior. For example, we find that the losses of probe packets are essentially random unless the probe traffic uses a large fraction of the available bandwidth. We discuss the implications of these results on the design of control mechanisms for the Internet.

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Metadata

Authors
Bolot, J.-C.
Venue
Conference proceedings on Communications architectures, protocols and applications
Publisher
ACM
Published
1993-10
Pages
289-298
OpenAlex
W2069499077
Cited by
729
References
0
FWCI
7.25
Type
conference paper
Language
en
Open access
gold

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CoChat. (2026). Citation check: End-to-end packet delay and loss behavior in the internet. https://app.cochat.ai/papers/10.1145/166237.166265
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Bolot, J.-C. (1993). End-to-end packet delay and loss behavior in the internet. Conference proceedings on Communications architectures, protocols and applications. https://doi.org/10.1145/166237.166265

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.