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  • IETF 116 Highlights and other thoughts

    Mirja Kühlewind reports on a few highlights and some personal impressions from the IETF 116 Yokohama meeting held 25-31 March 2023.

    • Mirja KühlewindIESG Member
    7 Jun 2023
  • Banishing the bane of bufferbloat

    Bufferbloat affects everyone who uses the Internet, resulting in frustratingly slow web browsing, laggy video calls, and overall poor quality of experience for Internet users and there's a lot of work underway in the IETF to address it.

    • Bjørn Ivar TeigenIETF Participant
    23 May 2023
  • IETF 116 post-meeting survey

    IETF 116 Yokohama was held 25-31 March 2023 and the results of the post-meeting survey are now available on a web-based interactive dashboard.

    • Jay DaleyIETF Executive Director
    26 Apr 2023
  • Catching up on IETF 116

    Recordings are now available for sessions held during the IETF 115 meeting and the IETF Hackathon, where more than 1500 participants gathered in London and online 5-11 November 2022.

      1 Apr 2023
    • Reducing IETF Meeting Scheduling Conflicts

      With many IETF participants active across a number of active working groups and limited time slots in an IETF meeting week, we aim to arrange sessions in the agenda to minimize conflicts that prevent participants from joining sessions that are of interest to them. In each post-meeting survey we ask meeting participants to comment on the scheduling conflicts they experienced in the meeting agenda and we then use this information to improve the meeting agenda.

      • Alexa MorrisIETF Managing Director
      1 Apr 2023

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    Six Applied Networking Research Prizes Awarded for 2023

    • Grant GrossIETF Blog Reporter

    9 Jan 2023

    Six network researchers have received Internet Research Task Force Applied Networking Research Prize (ANRP), an award focused on recent results in applied networking research and on interesting new research of potential relevance to the Internet standards community. The award focuses on cases where the researchers or ideas might not otherwise get heavy exposure for their work.

    ANRP 2023

    Winners of the award are given the opportunity to present and discuss their work with the engineers, network operators, policy makers and scientists who participate in the IETF and IRTF. The ANRP is supported by the Internet Society, with additional sponsorship from Comcast and NBC Universal.

    The 2023 award winners, announced Jan. 9, are:

    Simon Scherrer for “Model-Based Insights on the Performance, Fairness, and Stability of BBR

    The research from Scherrer and colleagues focuses on Google’s BBR algorithm, a congestion-control algorithm with an estimated adoption of 40 percent of downstream Internet traffic. With several arguably problematic BBR features discovered, Scherrer’s research presents the first fluid model for BBR, enabling efficient simulations for a wide variety of network settings. A fluid model also allows a theoretical investigation of transient properties of the congestion-control algorithm.

    The analysis in the paper not only confirms previously documented issues with BBR, but also enables new insights into the algorithm behavior, according to Scherrer, a Ph.D. student in the Network Security Group at ETH Zurich.

    Boris Pismenny for “Autonomous NIC Offloads

    The research from Pismenny and colleagues focuses on offloading layer-5 protocol computation over TCP to network interface cards (NICs). NICs routinely offload layer-4 processing tasks such as checksum and segmentation without offloading all layer-4 functionality. But, layer-5 protocol computation offload depends on offloading all the underlying protocols: TCP, IP, routing, firewall, etc.

    "Autonomous NIC offloads" eliminate offload dependence by providing a lightweight software-hardware interface that accelerates layer-5 protocol computations without migrating the entire TCP/IP stack to the NIC. Autonomous TLS offload is already supported on Linux and FreeBSD, and autonomous NVMe-TCP offload is coming soon.

    The paper analyses the applicability of autonomous offloads to additional protocols and computations, says Pismenny, a Ph.D. student at the Technion – Israel Institute of Technology’s computer science department in Haifa and a Principal Software Architect at NVIDIA.

    Siva Kakarla for “SCALE: Automatically Finding RFC Compliance Bugs in DNS Nameservers

    Kakarla and his colleagues introduce the first approach for finding RFC compliance errors in DNS nameserver implementations through automatic test generation. The group’s SCALE (Small-scope Constraint-driven Automated Logical Execution) approach generates high-coverage tests for covering RFC behaviors.

    The researchers built a DNS testing tool called Ferret based on the SCALE approach and applied it to test eight open-source DNS nameserver implementations. Ferret generated over 13,000 test zone files and queries, and 62 percent resulted in some difference among implementations. The group identified and reported 30 new unique bugs from these failed test cases, including at least one bug in every implementation, and most have since been fixed, according to Kakarla, a senior researcher at Microsoft Networking research group.

    Dennis Trautwein for “Design and Evaluation of IPFS: A Storage Layer for the Decentralized Web

    Trautwein and his fellow researches evaluate the performance of the InterPlanetary FileSystem (IPFS), which was created in response to growing consolidation of Web operations. While the majority of Web traffic originates from a few organisations, a platform like IPFS provides distributed data storage and delivery services.

    IPFS is an open-source, content-addressable peer-to-peer network that already has millions of daily content retrievals and underpins dozens of third-party applications. The paper evaluates the performance of IPFS by introducing a set of complementary measurement methodologies. The research reveals a presence of IPFS nodes in more than 2,700 autonomous systems and 152 countries, with the majority operating outside large central cloud providers like Amazon or Azure, says Trautwein, a research engineer at Protocol Labs.

    Arthur Selle Jacobs for “AI/ML for Network Security: The Emperor has No Clothes

    Jacobs and a group of researchers look at recent research efforts that propose machine-learning-based solutions that can detect complex patterns in measured network traffic for a wide range of network security problems. These machine learning models, however, are typically "black-box" in nature, don't disclose how they make their decisions, and network operators tend to be reluctant to trust and deploy them in their production settings.

    This distrust is fully justified because these models are known to be prone to the problem of underspecification, the failure to specify a model in adequate detail. Using a novel framework called Trustee, the paper focuses on explaining how black-box models make their decisions by synthesizing high-fidelity and low-complexity decision trees that network operators can use to determine if their machine learning models suffer from underspecification, says Jacobs, who recently earned a Ph.D. in computer science from the Federal University of Rio Grande do Sul.

    Ram Sundara Raman for “Network Measurement Methods for Locating and Examining Censorship Devices

    Sundara Raman and colleagues, working with the Citizen Lab, demonstrate robust, general-purpose methods to understand various aspects of Internet censorship devices, by studying devices deployed in Azerbaijan, Belarus, Kazakhstan, and Russia. The research develops a censorship traceroute method, CenTrace, that automatically identifies the network location of censorship devices. 

    To collect more features about the devices themselves, the team built a censorship fuzzer, CenFuzz, that uses various HTTP request and TLS Client Hello fuzzing strategies to examine the rules and triggers of censorship devices, says Sundara Raman, a Ph.D. student at the University of Michigan and lead developer at the Censored Planet observatory

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