Feedback in Recursive Congestion Control

Hayes, David A.; Teymoori, Peyman; Welzl, Michael

doi:10.1007/978-3-319-46433-6_8

Cited by 4 publications

(5 citation statements)

References 12 publications

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“…In the same study [59], we utilized Scalable TCP. However, we believe that the performance could be further enhanced by adopting a congestion controller such as LGC [61][62][63].…”

Section: Further Research Topicsmentioning

confidence: 99%

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Reconciling Efficiency and Security of the Internet of Things: A Recursive InterNetwork Architecture (RINA) Approach

Teymoori,

Ramezanifarkhani

2023

Preprint

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The Internet of Things (IoT) has revolutionized our lives by connecting devices to the internet, enabling automation and simplifying daily routines. However, as IoT is built upon the foundation of older network architectures and protocols, such as the Internet, its integration has brought forth significant challenges, particularly in achieving both transport layer efficiency and security at the same time. This paper presents a comprehensive overview of the current network stacks used in IoT and highlights the issues they face in this regard. We propose a novel architectural approach leveraging the Recursive InterNetwork Architecture (RINA) to address these challenges. We thoroughly evaluate how RINA's unique combination of recursion and networking can effectively reconcile the efficiency-security trade-off inherent in IoT networks; this has the potential to overcome the limitations of existing architectures and resolving the long-standing issue with Performance Enhancing Proxies (PEPs) that cannot operate on encrypted connections. We demonstrate the practical application of RINA through two use cases: a smart home environment, where RINA provides a unified networking framework, reducing the complexities of integrating diverse systems, and a healthcare patient monitoring scenario, where RINA ensures seamless integration of legacy devices while maintaining the advantages of the RINA architecture, including security and efficient data transmission. The paper concludes with a comprehensive discussion on potential future research topics, paving the way for an efficient and secure IoT ecosystem.

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“…In the same study [59], we utilized Scalable TCP. However, we believe that the performance could be further enhanced by adopting a congestion controller such as LGC [61][62][63].…”

Section: Further Research Topicsmentioning

confidence: 99%

“…In our previous work [59], we conducted an analytical evaluation of various feedback methods, assessing their impact on system stability and average queue length. Our findings indicated that strict pushback feedback, based solely on queue size, could lead to stability issues.…”

Section: Further Research Topicsmentioning

confidence: 99%

Reconciling Efficiency and Security of the Internet of Things: A Recursive InterNetwork Architecture (RINA) Approach

Teymoori,

Ramezanifarkhani

2023

Preprint

Self Cite

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“…In [23], we investigated what would happen if we would simply install TCP-like congestion control in RINA-and found that some improvements happen just as a result of network configuration: consecutive control loops yield a behavior similar to a Performance Enhancing Proxy (PEP), 5 and if a DIF operates on aggregates coming from DIFs above it, it can yield benefits similar to mechanisms that couple congestion controls. In [25], we investigated recursive feedback for a broad class of loss-based congestion controls; this work showed that using overflowing queues as a feedback method between DIFS can produce very large delays. These delays occur in addition to the delays caused by the congestion controls themselves (see the discussion of R1).…”

Section: B To Rina -"Following the Model"mentioning

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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“…Chains of congestion control loops have been shown as a key feature in new network architectural patters such as the Recursive InterNetwork Architecture (RINA) [1]. In our previous work [8], we investigated various forms of feedback for a recursive congestion control as in RINA; the main finding was that faster more direct feedback is better, suggesting that chained congestion control should relay congestion signals back to the source without delaying them; this constitutes our main design principle in this paper. Similar to earlier explicit This work is licensed under a Creative Commons Attribution 4.0 License.…”

Section: Introductionmentioning

confidence: 99%

“…This has been demonstrated by Ericsson and Vodafone Germany https://www.ericsson.com/en/news/2018/11/3d-holographic-calls-with-5g 8. Defined as application layer throughput divided by the average link physical rate in percent 9.…”

mentioning

confidence: 99%

LGCC: A Novel High-Throughput and Low Delay Paradigm Shift in Multi-Hop Congestion Control

Teymoori

Welzl

Hayes

2024

IEEE/ACM Trans. Networking

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Technological advancements have provided wireless links with very high data rate capacity for 5G/6G mobile networks and WiFi 6, which will be widely deployed by 2025. However, the capacity can have substantial fluctuations, violating the assumption at the transport layer that the capacity is (almost) steady. In this paper, we present a general and efficient, yet deployable solution to this problem through a novel design empowered with a rich theory, allowing a significantly improved experience in using new technologies, especially mobile cellular services. We employ the well-known theory of food-chain models in biology, where a bottleneck link can be modeled as prey, while flows are predators. We extend this model to a chain of predators and preys to form a multi-hop congestion controller, called LGCC. Through simulation evaluation with real-life 5G traces we show the effectiveness of LGCC, compared with the state-of-the-art ABC (Accel-Brake Control). Our results show an order of magnitude bottleneck queuing delay decrease, with only a small decrease in throughput because LGCC tries to never exceed link capacities. LGCC's design can additionally open a new paradigm in stable multi-hop congestion control and flow aggregation.

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Feedback in Recursive Congestion Control

Cited by 4 publications

References 12 publications

Reconciling Efficiency and Security of the Internet of Things: A Recursive InterNetwork Architecture (RINA) Approach

Reconciling Efficiency and Security of the Internet of Things: A Recursive InterNetwork Architecture (RINA) Approach

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

LGCC: A Novel High-Throughput and Low Delay Paradigm Shift in Multi-Hop Congestion Control

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