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

Welzl, Michael; Teymoori, Peyman; Gjessing, Stein; Islam, Safiqul

doi:10.1109/icnc47757.2020.9049648

Cited by 7 publications

(6 citation statements)

References 38 publications

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“…3 In RINA, it is natural to break an end-to-end path into several shorter control loops, each with its own customized congestion controller. In addition, a larger control loop can operate over several shorter ones; this is the recursive property of RINA, which can provide many benefits [28]. What we propose in this paper can also be adopted by RINA.…”

Section: Related Workmentioning

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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Section: Related Workmentioning

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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“…Currently, we are developing a multihop congestion controller based on LGC for RINA. The outline of a recursive congestion control mechanism is depicted in [64]. This controller can leverage the flow aggregation capability provided by lower DIFs.…”

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

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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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“…QoS cubes provide a useful abstraction to communicate the ranges of quality supported by a DIF to its users, in a way that is decoupled from the mechanisms and policies used internally to enforce the quality expressed by each QoS cube. EFCP traffic marking enables a clear identification of PDUs belonging to different QoS cubes, and enables resource allocation policies (routing, scheduling, congestion control) to act consistently across a DIF [21]. QTAmux scheduling policies have proven a useful means to differentially allocate loss and delay to groups of flows, allowing DIFs to provide consistent levels of quality to the applications using them even at high loads.…”

Section: Quality Of Service Experimentsmentioning

confidence: 99%

ARCFIRE: Experimentation with the Recursive InterNetwork Architecture

et al. 2020

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European funded research into the Recursive Inter-Network Architecture (RINA) started with IRATI, which developed an initial prototype implementation for OS/Linux. IRATI was quickly succeeded by the PRISTINE project, which developed different policies, each tailored to specific use cases. Both projects were development-driven, where most experimentation was limited to unit testing and smaller scale integration testing. In order to assess the viability of RINA as an alternative to current network technologies, larger scale experimental deployments are needed. The opportunity arose for a project that shifted focus from development towards experimentation, leveraging Europe’s investment in Future Internet Research and Experimentation (FIRE+) infrastructures. The ARCFIRE project took this next step, developing a user-friendly framework for automating RINA experiments. This paper reports and discusses the implications of the experimental results achieved by the ARCFIRE project, using open source RINA implementations deployed on FIRE+ Testbeds. Experiments analyze the properties of RINA relevant to fast network recovery, network renumbering, Quality of Service, distributed mobility management, and network management. Results highlight RINA properties that can greatly simplify the deployment and management of real-world networks; hence, the next steps should be focused on addressing very specific use cases with complete network RINA-based networking solutions that can be transferred to the market.

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

Cited by 7 publications

References 38 publications

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

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

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

ARCFIRE: Experimentation with the Recursive InterNetwork Architecture

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