CAPEST: Offloading Network Capacity and Available Bandwidth Estimation to Programmable Data Planes

Kagami, Nicolas Silveira; Filho, Roberto Iraja Tavares da Costa; Gaspary, Luciano Paschoal

doi:10.1109/tnsm.2019.2934316

Cited by 20 publications

(9 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This work uses no machine learning technologies, and it focuses on estimating bandwidth of single node rather than whole network. Reference [17] proposes a passive capacity and available bandwidth measurement method for the data plane, employing packet dispersion and autocorrelation.…”

Section: Related Workmentioning

confidence: 99%

Fine-Grained Bandwidth Estimation for Smart Grid Communication Network

Luo¹,

Liao²,

Zhang³

et al. 2022

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

Section: Related Workmentioning

confidence: 99%

Fine-Grained Bandwidth Estimation for Smart Grid Communication Network

Luo¹,

Liao²,

Zhang³

et al. 2022

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

“…Literature regarding packet pair dispersion and capacity estimation is extensive. As of today many schemes for the narrow link capacity estimation have been proposed [1]- [4]. Most models, either based on active probing or passive measurements, measure the dispersion between packet pairs or packet trains.…”

Section: Related Workmentioning

confidence: 99%

“…Most models, either based on active probing or passive measurements, measure the dispersion between packet pairs or packet trains. Packet pairs dispersion has been proven to be a noisy measurement [2], [4], [6]. The effort of most works in this area have been focusing on signal processing and de-noising of the intern-packet rate distribution derived from packet pairs dispersion.…”

Section: Related Workmentioning

confidence: 99%

HIRE: Hidden Inter-packet Red-shift Effect

Ciaccia¹,

Romero²,

Serral-Gracià

et al. 2020

GLOBECOM 2020 - 2020 IEEE Global Communications Conference

View full text Add to dashboard Cite

Over the years, different techniques have been proposed to detect bottleneck bandwidth and available bandwidth of an end-to-end path. However, to the author's knowledge, no work has been conducted on detecting which link or node on the path could be the narrow link. In this paper, we present a novel technique based on packet pairs dispersion analysis, whose objective is twofold: first, it allows to estimate the narrow link capacity using a new approach which takes into account both inter-packet time and packet propagation delay. Its second objective is to induce the specific hop in the end-to-end path which represents the narrow link. This is achieved by injecting packets trains with intermediate TTL-expiring packets which decrease the train rate when they cross the narrow link (red-shift effect). We validate our approach in simulations showing the tool robustness in very complex scenarios.

show abstract

“…• Five papers in top-tier SBC, IEEE and ACM conferences/journals (first author) [da Costa Filho et al 2016b, da Costa Filho et al 2016a, da Costa Filho et al 2018a, da Costa Filho et al 2018b, da Costa Filho et al 2020]. • Five papers in conferences/journals (co-author) [Marques et al 2019, Kagami et al 2019, Roesler et al 2018, Lautenschläger et al 2016, Lazzari et al 2017]. • Ph.D. defense awarded with Honors Thesis High Distinction.…”

Section: Research Accomplishments and Contributionsmentioning

confidence: 99%

From 2D to Next Generation VR/AR Videos: Enabling Efficient Streaming via QoE-aware Mobile Networks

Filho¹,

Turck²,

Gaspary³

2020

Anais Estendidos Do Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC Estendido 2020)

Self Cite

View full text Add to dashboard Cite

Ranging from traditional streaming to Virtual Reality (VR) videos, the demand for video applications to mobile devices is booming. In the context of mobile operators a challenging problem is how to handle the increasing video traffic while managing the interplay between infrastructure optimization and QoE. Solving this issue is remarkably difficult, and recent investigations do not consider large-scale networks. In this dissertation paper we explore the solution space of efficient video streaming over mobile networks.

show abstract

CAPEST: Offloading Network Capacity and Available Bandwidth Estimation to Programmable Data Planes

Cited by 20 publications

References 35 publications

Fine-Grained Bandwidth Estimation for Smart Grid Communication Network

Fine-Grained Bandwidth Estimation for Smart Grid Communication Network

HIRE: Hidden Inter-packet Red-shift Effect

From 2D to Next Generation VR/AR Videos: Enabling Efficient Streaming via QoE-aware Mobile Networks

Contact Info

Product

Resources

About