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The synchronization of periodic routing messages
Abstract
The paper considers a network with many apparently-independent periodic processes and discusses one method by which these processes can inadvertently become synchronized. In particular, the authors study the synchronization of periodic routing messages, and offer guidelines on how to avoid inadvertent synchronization. Using simulations and analysis, they study the process of synchronization and show that the transition from unsynchronized to synchronized traffic is not one of gradual degradation but is instead a very abrupt 'phase transition': in general, the addition of a single router will convert a completely unsynchronized traffic stream into a completely synchronized one. They show that synchronization can be avoided by the addition of randomization to the traffic sources and quantify how much randomization is necessary. In addition, they argue that the inadvertent synchronization of periodic processes is likely to become an increasing problem in computer networks.>
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Citations
Cited by
Random early detection gateways for congestion avoidance
Floyd, S., & Jacobson, V. (1993) · IEEE/ACM Transactions on Networking · doi:10.1109/90.251892 · Cited by 6,290
Self-citationLabovitz, C., Malan, G. R., & Jahanian, F. (1998) · IEEE/ACM Transactions on Networking · doi:10.1109/90.731185 · Cited by 359
Metadata
- Authors
- Floyd, S., & Jacobson, V.
- Venue
- IEEE/ACM Transactions on Networking
- Published
- 1994-04
- Volume
- 2
- Issue
- 2
- Pages
- 122-136
- ISSN
- 1063-6692 (ISSN-L)
- OpenAlex
- W2050353731
- Cited by
- 243
- References
- 0
- FWCI
- 15.07
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The synchronization of periodic routing messages. https://app.cochat.ai/papers/10.1109/90.298431
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- Floyd, S., & Jacobson, V. (1994). The synchronization of periodic routing messages. IEEE/ACM Transactions on Networking. https://doi.org/10.1109/90.298431
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.