TCP implementations and false time out detection in OBS networks
Abstract
This paper compares Reno, new-Reno and selective acknowledgements (SACK), the three most common TCP implementations today in (future) optical burst switched (OBS) networks. In general, SACK, which considers multiple triple duplicated ACKed (TD) losses in one round, is found to perform best in OBS networks, while new-Reno, which improves Reno in packet switched networks by fast retransmission in responding to partial ACKs, may however perform worse than Reno. All three TCP implementations react to a time out (TO) loss in the same way (i.e., using slow start). In OBS networks, where a burst may contain all packets from one round, and a burst loss occurs mainly due to contention instead of buffer overflow, such a TO event may no longer imply heavy congestion, or in other words, it may he a false TO or FTO. Such FTOs, which may he common in OBS networks especially for fast TCP flows, can significantly degrade the performance of all existing TCP implementations. Accordingly, we also propose a new TCP implementation called burst TCP (BTCP) which can detect FTOs and react properly, and as a result, improve over the existing TCP implementations significantly.
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TCP throughput for wireless networks can be improved by accurately identifying the cause of packet loss and reducing the TCP transmission rate only when congestion is detected.
“Therefore, the TCP throughput for wireless networks can be improved by accurately identifying the cause of packet loss [34,62,490] and reducing the TCP transmission rate only when congestion is detected.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [490]
Their classifiers integrate two TCP variants that keep low control overhead for better performance over standard TCP-NewReno and TCP-SACK, and Burst-TCP for OBS networks.
“These classifiers integrate two TCP variants that keep a low control overhead for providing better performance (e.g. higher throughput and fewer timeouts) over the standard TCP-NewReno [185] and TCP-SACK [299], and Burst-TCP [490] for OBS networks.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [490]
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Boutaba, R., Salahuddin, M. A., Limam, N., Ayoubi, S., Shahriar, N., Estrada-Solano, F., & Caicedo, O. M. (2018) · Journal of Internet Services and Applications · doi:10.1186/s13174-018-0087-2 · Cited by 1,036 · see citing works
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- Authors
- Yu, X., Qiao, C., & Liu, Y.
- Affiliations
- University at Buffalo, State University of New York (US)
- University of Massachusetts Amherst (US)
- ORCID
- Chunming Qiao
- Venue
- IEEE INFOCOM 2004
- Publisher
- IEEE
- Published
- 2005-02-22
- Volume
- 2
- Pages
- 774-784
- OpenAlex
- W2160104418
- Cited by
- 92
- References
- 14
- Citations by year
- 2022: 1 · 2020: 1 · 2019: 1 · 2018: 2 · 2017: 3 · 2015: 2 · 2014: 4 · 2013: 1 · 2012: 8
- FWCI
- 8.46
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Conference on Computer Communications (INFOCOM) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Optical Network Technologies
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Networks and Protocols
- Keywords
- TCP, optical burst switching, Reno, NewReno, SACK, TCP congestion control, burst loss, contention, fast retransmission, slow start
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