Congestion Control Design for Multipath Transport Protocols: A Survey

Xu, Changqiao; Zhao, Jia; Muntean, Gabriel‐Miro

doi:10.1109/comst.2016.2558818

Cited by 107 publications

(55 citation statements)

References 109 publications

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“…Fig. 13 shows two different scenarios which lead to unfairness when MPTCP applies uncoupled congestion control [32]: in the first one, the two paths of the MPTCP share a bottleneck. In this case, goal 2 is violated, since MPTCP behaves like two separate TCP flows, taking up two thirds of capacity and squeezing out the competing single-path flow.…”

Section: A Mptcpmentioning

confidence: 99%

“…The main multipath congestion control algorithms we presented are summarized in Table III; for a more thorough survey of the research on multipath congestion control and MPTCP, we refer the reader to [32].…”

Section: A Mptcpmentioning

confidence: 99%

“…Our goal in this survey is to offer the interested reader a comprehensive point of view on the up-to-date research on transport protocols, which is lacking in other recent surveys that separately focus on ossification [16], multipath transmissions [31], or congestion control schemes for MPTCP [32] or in data centers [33].…”

Section: Introductionmentioning

confidence: 99%

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A Survey on Recent Advances in Transport Layer Protocols

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Over the years, the Internet has been enriched with new available communication technologies, for both fixed and mobile networks and devices, exhibiting an impressive growth in terms of performance, with steadily increasing available data rates. The Internet research community has kept trying to evolve the transport layer protocols to match the capabilities of modern networks, in order to fully reap the benefits of the new communication technologies. This paper surveys the main novelties related to transport protocols that have been recently proposed, identifying three main research trends: (i) the evolution of congestion control algorithms, to target optimal performance in challenging scenarios, possibly with the application of machine learning techniques; (ii) the proposal of brand new transport protocols, alternative to the Transmission Control Protocol (TCP) and implemented in the user-space; and (iii) the introduction of multipath capabilities at the transport layer.

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Section: A Mptcpmentioning

confidence: 99%

Section: A Mptcpmentioning

confidence: 99%

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A Survey on Recent Advances in Transport Layer Protocols

Polese

Chiariotti

Bonetto

et al. 2019

IEEE Commun. Surv. Tutorials

116

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“…Its two-dimensional moments are The image function is mapped to a two-dimensional polynomial basis function and then the coefficient can be get [14]. The central moment of order ( ) p q + for the continuous image is considered to be the corresponding image function:…”

Section: B the Hu Moment Algorithm Distinguishes Vehicle Typesmentioning

confidence: 99%

“…So the 8 neighborhood pixels do not have 45 degrees of rotation invariance. This paper uses the formula (14) to calculate the gradient amplitude to solve the problem:…”

Section: Advances In Intelligent Systems Research Volume 153mentioning

confidence: 99%

The Research on the Pre Blocking Scheduling Method for Elevated Road Based on Video

Chen

Yang

Wang³

et al. 2017

Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)

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A survey on energy estimation and power modeling schemes for smartphone applications

Ahmad

Gani

Hamid

et al. 2016

Int J Communication

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In the last decade, the rising trend in the popularity of smartphones motivated software developers to increase application functionality. However, increasing application functionality demands extra power budget that as a result, decreases smartphone battery lifetime. Optimizing energy critical sections of an application creates an opportunity to increase battery lifetime. Smartphone application energy estimation helps investigate energy consumption behavior of an application at diversified granularity (eg, coarse and fine granular) for optimal battery resource use. This study explores energy estimation and modeling schemes to highlight their advantages and shortcomings. It classifies existing smartphone application energy estimation and modeling schemes into 2 categories, ie, code analysis and mobile components power model-based estimation owing to their architectural designs. Moreover, it further classifies code analysis-based modeling and estimation schemes in simulation-based and profiling-based categories. It compares existing energy estimation and modeling schemes based on a set of parameters common in most literature to highlight the commonalities and differences among reported literature. Existing application energy estimation schemes are low-accurate, resource expensive, or non-scalable, as they consider marginally accurate smart battery's voltage/ current sensors, low-rate power capturing tools, and labor-driven lab-setting environment to propose power models for smartphone application energy estimation. Besides, the energy estimation overhead of the components power model-based estimation schemes is very high as they physically run the application on a smartphone for energy profiling. To optimize smartphone application energy estimation, we have highlighted several research issues to help researchers of this domain to understand the problem clearly. KEYWORDS application energy, energy estimation, energy profiling, profiling overhead 1 | INTRODUCTION Nowadays, with the proliferation of portable devices, the energy-efficient system design has become a must-to-meet requirement for recent resource-constrained smartphone devices. The ever growing smartphone user's demands encourage application developers to enrich the legacy applications that as a result, increase smartphone's computational and communication cost. Among all smartphone-based applications, on-demand video, 1 multi-agent-based distributed games, 2 spatial locality-based social applications, 3 pedestrian tracking, 4,5 and context-based advertisement services 6 are the most energy-hungry services. The inherent features of these services considerably increase the energy demands of processors when executed on smartphones. 7-9 It is estimated that in last 2 decades, processor power budget has increased significantly because of smartphone application's high resource use. To efficiently exploit smartphone's power budget, software optimization minimizes inter-component interaction among hardware modules that as a result, increases battery's lifetime. ...

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Congestion Control Design for Multipath Transport Protocols: A Survey

Cited by 107 publications

References 109 publications

A Survey on Recent Advances in Transport Layer Protocols

A Survey on Recent Advances in Transport Layer Protocols

The Research on the Pre Blocking Scheduling Method for Elevated Road Based on Video

A survey on energy estimation and power modeling schemes for smartphone applications

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