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- ArticleAugust 2024
Hybrid Congestion Control for BXI-Based Interconnection Networks
- Gabriel Gomez-Lopez,
- Miguel Sánchez de la Rosa,
- Jesús Escudero-Sahuquillo,
- Pedro J. Garcia,
- Francisco J. Quiles,
- Pierre-Axel Lagadec
AbstractCongestion threatens the performance of high-performance interconnection networks in Supercomputers and Data Centers, which has focused research attention in the last decades, resulting in many proposals for congestion control. The most successful ...
- research-articleAugust 2024
FNCC: Fast Notification Congestion Control in Data Center Networks
ICPP '24: Proceedings of the 53rd International Conference on Parallel ProcessingPages 127–137https://doi.org/10.1145/3673038.3673078Congestion control plays a pivotal role in large-scale data centers, facilitating ultra-low latency, high bandwidth, and optimal utilization. Even with the deployment of data center congestion control mechanisms such as DCQCN and HPCC, these algorithms ...
- research-articleAugust 2024
Impact of Congestion Control on Mixed Reality Applications
EMS '24: Proceedings of the 2024 SIGCOMM Workshop on Emerging Multimedia SystemsPages 21–26https://doi.org/10.1145/3672196.3673395The rapid increase in popularity of Virtual Reality (VR) and Augmented Reality (AR) has paved the way for the development of new applications that have the potential to revolutionize the current landscape of industries such as entertainment, education, ...
- research-articleAugust 2024
Revisiting Congestion Control for WiFi Networks
APNet '24: Proceedings of the 8th Asia-Pacific Workshop on NetworkingPages 88–94https://doi.org/10.1145/3663408.3663421WiFi networks, widely utilized by wireless devices, have become increasingly complex and congested environments, leading to noticeable delays, jitter, and throughput degradation for end-to-end network flows in today’s Internet. Through detailed ...
- short-paperJuly 2024
To switch or not to switch to TCP Prague? Incentives for adoption in a partial L4S deployment
ANRW '24: Proceedings of the 2024 Applied Networking Research WorkshopPages 45–52https://doi.org/10.1145/3673422.3674896The Low Latency, Low Loss, Scalable Throughput (L4S) architecture has the potential to reduce queuing delay when it is deployed at endpoints and routers throughout the Internet. However, it is not clear how TCP Prague, a prototype scalable congestion ...
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- research-articleApril 2024
Astraea: Towards Fair and Efficient Learning-based Congestion Control
EuroSys '24: Proceedings of the Nineteenth European Conference on Computer SystemsPages 99–114https://doi.org/10.1145/3627703.3650069Recent years have witnessed a plethora of learning-based solutions for congestion control (CC) that demonstrate better performance over traditional TCP schemes. However, they fail to provide consistently good convergence properties, including fairness, ...
- research-articleNovember 2023
How I Learned to Stop Worrying About CCA Contention
- Lloyd Brown,
- Yash Kothari,
- Akshay Narayan,
- Arvind Krishnamurthy,
- Aurojit Panda,
- Justine Sherry,
- Scott Shenker
HotNets '23: Proceedings of the 22nd ACM Workshop on Hot Topics in NetworksPages 229–237https://doi.org/10.1145/3626111.3628204This paper asks whether inter-flow contention between congestion control algorithms (CCAs) is a dominant factor in determining a flow's bandwidth allocation in today's Internet. We hypothesize that CCA contention typically does not determine a flow's ...
- research-articleNovember 2023
Green With Envy: Unfair Congestion Control Algorithms Can Be More Energy Efficient
HotNets '23: Proceedings of the 22nd ACM Workshop on Hot Topics in NetworksPages 220–228https://doi.org/10.1145/3626111.3628200Despite 40 years of active research on congestion control, there has been little or no consideration of how it impacts the energy usage of end-hosts or networking equipment. Particularly with the burgeoning energy consumption of data centers and wide-...
- research-articleNovember 2023
Harnessing ML For Network Protocol Assessment: A Congestion Control Use Case
HotNets '23: Proceedings of the 22nd ACM Workshop on Hot Topics in NetworksPages 213–219https://doi.org/10.1145/3626111.3628182In this paper, our primary objective is to showcase that the application of machine learning techniques extends beyond network protocol design. We aim to demonstrate that performance assessment of network protocols, a vital aspect of improving network ...
- ArticleMarch 2024
HAECN: Hierarchical Automatic ECN Tuning with Ultra-Low Overhead in Datacenter Networks
Algorithms and Architectures for Parallel ProcessingPages 324–343https://doi.org/10.1007/978-981-97-0798-0_19AbstractIn modern datacenter networks (DCNs), mainstream congestion control (CC) mechanisms essentially rely on Explicit Congestion Notification (ECN) that is widely supported by commercial switches to reflect congestion. The traditional static ECN ...
- research-articleMarch 2024
Felinet: Accelerating Federated Learning Convergence in Heterogeneous Edge Networks
FedEdge '23: Proceedings of the 2nd ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge NetworkPages 125–130https://doi.org/10.1145/3615593.3615723The edge network has been introduced for providing computing capabilities to accelerate federated learning. However, the heterogeneity of edge networks increases the complexity of traffic scheduling, which can result in network congestion and decreased ...
- research-articleSeptember 2023
Supporting Smart Farming through Bandwidth Adaptation in Satellite Communications
- Armir Bujari,
- Cristian Coreggioli,
- Mirko Franco,
- Salah Eddine Merzougui,
- Claudio Enrico Palazzi,
- Lasse B. Schmidt
GoodIT '23: Proceedings of the 2023 ACM Conference on Information Technology for Social GoodPages 74–81https://doi.org/10.1145/3582515.3609520Access to the Internet is a crucial enabler for many of the Sustainable Development Goals (SDGs) of the United Nations. Unfortunately, a significant part of the world’s population is left behind due to the lack of access to a reliable and affordable ...
- research-articleOctober 2023
Sliding Window Kalman Filter-Based DCQCN for RDMA Congestion Control
IECC '23: Proceedings of the 2023 5th International Electronics Communication ConferencePages 1–6https://doi.org/10.1145/3616480.3616481Remote Direct Memory Access (RDMA) is gradually being widely used in data center networks to achieve low data processing delay. The congestion control algorithm is the key for RDMA to realize packet loss-free, while DCQCN is a frequently-used ...
- research-articleSeptember 2023
Toward Fair and Efficient Congestion Control: Machine Learning Aided Congestion Control (MLACC)
APNet '23: Proceedings of the 7th Asia-Pacific Workshop on NetworkingPages 88–94https://doi.org/10.1145/3600061.3603275Emerging inter-datacenter applications require massive loads of data transfer which makes them sensitive to packet drops, high latency, and fair resource sharing. However, current congestion control (CC) protocols do not guarantee the optimal outcome of ...
- research-articleSeptember 2023
Accurate and Scalable Rate Limiter for RDMA NICs
APNet '23: Proceedings of the 7th Asia-Pacific Workshop on NetworkingPages 15–20https://doi.org/10.1145/3600061.3600078Rate limiter is required by RDMA NIC (RNIC) to enforce the rate limits calculated by congestion control. RNIC expects the rate limiter to be accurate and scalable: to precisely shape the traffic for numerous flows with minimized resource consumption, ...
- ArticleApril 2023
Vision Paper: Do We Need to Change Some Things?: Open Questions Posed by the Upcoming Post-quantum Migration to Existing Standards and Deployments
AbstractCryptographic algorithms are vital components ensuring the privacy and security of computer systems. They have constantly improved and evolved over the years following new developments, attacks, breaks, and lessons learned. A recent example is ...
- rfcApril 2023
RFC 9392: Sending RTP Control Protocol (RTCP) Feedback for Congestion Control in Interactive Multimedia Conferences
This memo discusses the rate at which congestion control feedback can be sent using the RTP Control Protocol (RTCP) and the suitability of RTCP for implementing congestion control for unicast multimedia applications.
- rfcJanuary 2023
RFC 9332: Dual-Queue Coupled Active Queue Management (AQM) for Low Latency, Low Loss, and Scalable Throughput (L4S)
This specification defines a framework for coupling the Active Queue Management (AQM) algorithms in two queues intended for flows with different responses to congestion. This provides a way for the Internet to transition from the scaling problems of ...
- rfcJanuary 2023
RFC 9331: The Explicit Congestion Notification (ECN) Protocol for Low Latency, Low Loss, and Scalable Throughput (L4S)
This specification defines the protocol to be used for a new network service called Low Latency, Low Loss, and Scalable throughput (L4S). L4S uses an Explicit Congestion Notification (ECN) scheme at the IP layer that is similar to the original (or '...
- rfcJanuary 2023
RFC 9330: Low Latency, Low Loss, and Scalable Throughput (L4S) Internet Service: Architecture
This document describes the L4S architecture, which enables Internet applications to achieve low queuing latency, low congestion loss, and scalable throughput control. L4S is based on the insight that the root cause of queuing delay is in the capacity-...