An Analytical Comparison of the Slow-but-Steady and Impatient Variants of TCP New Reno

Dunaytsev, Roman; Avrachenkov, Konstantin; Koucheryavy, Yevgeni; Harju, Jarmo

doi:10.1007/978-3-540-72697-5_3

Cited by 2 publications

(11 citation statements)

References 14 publications

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“…However, more recent TCP implementations, like NewReno or Cubic, have more complex error recovery mechanisms that allow recovering multiple losses during the FR phase. Other works have extended SRF and AM in order to account for FR phase' dynamics with Slow But Steady (SBS) flavor [12], [13]. The most prominent innovation in [12] and [13], with respect to [11], is that both bursty and independent losses are modelled.…”

Section: A Related Workmentioning

confidence: 99%

“…Other works have extended SRF and AM in order to account for FR phase' dynamics with Slow But Steady (SBS) flavor [12], [13]. The most prominent innovation in [12] and [13], with respect to [11], is that both bursty and independent losses are modelled.…”

Section: A Related Workmentioning

confidence: 99%

“…• the analysis of how the TCP congestion control algorithm behaves in a channel dominated by collisions, where TCP auto-regulates the sending rate to counteract an increase in Segment Loss Rate (SLR); • a finer model derived from [11]- [13], which accurately matches the TCP steady state throughput over RA satellite channels; • a simple but effective model establishing a relation between the loss rate at MAC layer and the loss rate at transport layer (cross-layer study); • finally, considerations on system stability guaranteed by the TCP control congestion algorithm, even at very high loads.…”

Section: B Main Contributionsmentioning

confidence: 99%

“…In order to derive the average number of rounds in a cycle, namely E[X], and the average CWND size, let us consider the evolution of CWND as a function of the number of rounds. According to [13] and [18], we have:…”

Section: A Throughput Model If Loss Indications Are Td Acks Onlymentioning

confidence: 99%

“…This paper attempts to bridge this scientific gap, by analyzing the performance of TCP-based application protocols over CRDSA++, using 3 replicas and running in a DVB-S2/RCS2 network under different traffic load conditions. To this end, a rigorous analytical model of TCP dynamics over RA is drawn, adapting and extending the TCP models in [11]- [13] that cannot inherently apply to the case of RA schemes. The analytical approach will be validated via NS-3-based simulations [14].…”

Section: Introductionmentioning

confidence: 99%

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M2M Traffic via Random Access Satellite links: Interactions between Transport and MAC Layers

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et al. 2016

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Machine-to-machine services are witnessing an unprecedented diffusion, which is expected to result in an everincreasing data traffic load. In this context, satellite technology is playing a pivotal role, since it enables a widespread provisioning of machine-to-machine services. In particular, oil industry, maritime communications, as well as remote monitoring are sectors where the use of satellite communications is expected to dramatically explode within the next few years. In the light of this sudden increase of machine-to-machine data transported over satellite, a more thorough understanding of machine-tomachine service implementation over satellite is required, especially focusing on the interaction between transport and MAC layers of the protocol stack. Starting from these observations, this paper thoroughly analyses the interaction between TCP and the Contention Resolution Diversity Slotted Aloha access scheme defined in the DVB-RCS2 standard, assuming the use of an MQTT-like protocol to distribute machine-to-machine services. A novel TCP model is developed and validated through extensive simulation campaigns, which also shed important lights on the design choices enabling the efficient transport of machine-tomachine data via satellite.

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