Managing real-time media flows through a flow state exchange

Islam, Safiqul; Welzl, Michael; Hayes, David A.; Gjessing, Stein

doi:10.1109/noms.2016.7502803

Cited by 7 publications

(8 citation statements)

References 9 publications

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“…It would therefore be interesting to explore this further. In [9], we have shown that our solution can work with relaxed time constraints for the signaling between congestion control mechanisms and the coupling entity; it could therefore be possible to use a configuration-based SBD approach where we place our solution on a wireless access point in order to control multiple stations associated with it.…”

Section: Discussionmentioning

confidence: 99%

“…Publications: the full text of the dissertation can be found in [7]. Publications that contain the results of this work are are available in [8,9,10,11,12]. The paper presented at the ACM SIGCOMM Capacity Sharing workshop won the best paper award and was published in ACM SIGCOMM Computer Communication Review [8].…”

Section: Publications and Disseminationsmentioning

confidence: 99%

“…This means that a passive FSE could be implemented as a standalone tool. However, a passive FSE can create problems with flows that do not update their rate for relatively longer periods -typically because RTTs are significantly different, e.g., TCP updates its rate as a function of the RTT (see [9]).…”

Section: A Coupled Congestion Control For Rtp Mediamentioning

confidence: 99%

See 2 more Smart Citations

Lightweight and flexible single-path congestion control coupling

Islam

Welzl

Gjessing

2018

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium

Self Cite

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Communication between two Internet hosts using parallel connections may result in unwanted interference between the connections. In this dissertation, we propose a senderside solution to address this problem by letting the congestion controllers of the different connections collaborate, correctly taking congestion control logic into account. Real-life experiments and simulations show that our solution works for a wide variety of congestion control mechanisms, provides great flexibility when allocating application traffic to the connections, and results in lower queuing delay and less packet loss.

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Section: Discussionmentioning

confidence: 99%

Section: Publications and Disseminationsmentioning

confidence: 99%

See 1 more Smart Citation

Lightweight and flexible single-path congestion control coupling

Islam

Welzl

Gjessing

2018

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium

Self Cite

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“…Previous work conducted in [9] deals with both performance aspects and bit-rate estimation algorithms, but the study is limited to a small controlled environment. Work conducted in [8] [12] explore the behaviour of multiple rate-control algorithms and streaming properties, as well as introducing novel rate-control algorithms. Resource allocation for WebRTC in [13] leads to a Network Virtual Functions based cloud architecture to interconnect IP Media Subsystems and WebRTC.…”

Section: Discussionmentioning

confidence: 99%

Media streams allocation and load patterns for a WebRTC cloud architecture

Xhagjika

Escoda

Navarro

et al. 2017

2017 8th International Conference on the Network of the Future (NOF)

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Web Real-Time Communication Web Real-Time Communication (WebRTC) is seeing a rapid rise in adoption footprint. This standard provides an audio/video platform-agnostic communications framework for the Web build-in right in the browser. The complex technology stack of a full implementation of the standard is vast and includes elements of various computational disciplines like: content delivery, audio/video processing, media transport and quality of experience control, for both P2P and Cloud relayed communications. To the best of our knowledge, no previous study examines the impact of Cloud back-end load and media quality at production scale for a media stream processing application, as well as load mitigation for Cloud media Selective Forwarding Units. The contribution of this work is the analysis and exploitation of server workload (predictable session size, strong periodical load patterns) and media bit rate patterns that are derived from real user traffic (toward our test environment), over an extended period of time. Additionally, a simple and effective load balancing scheme is discussed to fairly distribute big sessions over multiple servers by exploiting the discovered patterns of stable session sizes and server load predictability. A Cloud simulation environment was built to compare the performance of the algorithm with other load allocation policies. This work is a basis for more advanced resource allocation algorithms and media Service Level Objectives (SLO) spanning multiple Cloud entities.

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“…Because the control loops operate at the transport layer, multiple connections between the same pair of hosts work independently, competing for resources in the network. Solutions to this problem (such as the Congestion Manager [18] or other congestion control coupling approaches [19,20] and [21,22]) have a hard time getting deployed because ECMP may put transport connections on separate paths. Since congestion control was primarily implemented into the transport layer, there is no explicit interaction between congestion control and ECMP-instead, again, static design-time assumptions are made.…”

Section: Developing Rina Congestion Controlmentioning

confidence: 99%

Follow the Model: How Recursive Networking Can Solve the Internet’s Congestion Control Problems

Welzl

Teymoori

Gjessing

et al. 2020

2020 International Conference on Computing, Networking and Communications (ICNC)

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The Recursive InterNetworking Architecture RINA describes a new way to look at networking; it offers a point of view that is fundamentally different from today's networks. This paper explains how designing congestion control strictly in line with this model almost automatically leads to a conceptually cleaner, and quite possibly altogether better design than what we have in the Internet today. We give an overview of how far the OCARINA research project has come with the development of the RINA congestion control elements that follow from this design. Then, we conclude with an explanation of how the shift in thinking that RINA suggests can be applied to more gradual Internet developments related to congestion control.

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Managing real-time media flows through a flow state exchange

Cited by 7 publications

References 9 publications

Lightweight and flexible single-path congestion control coupling

Lightweight and flexible single-path congestion control coupling

Media streams allocation and load patterns for a WebRTC cloud architecture

Follow the Model: How Recursive Networking Can Solve the Internet’s Congestion Control Problems

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