This October 2026 issue contains five papers.
The technical paper, IPv6 Hitlist Service: Lessons Learned From 10 Years of Operation, by Oliver Gasser, Lion Steger, Patrick Sattler, and Johannes Zirngibl offers a retrospective on 10 years of operating the IPv6 Hitlist Service, a popular resource for IPv6 measurement. The paper discusses technical changes to the service
over time, a coverage analysis comparing the hitlist to flow data from an ISP and Tier-1 network, results from a user survey, and a set of best practice recommendations.
The technical paper, A Multi-Dimensional Analysis of Broadband Performance at Community Anchor Institutions, by Jiayi Liu, David Choffnes, Alexander Gamero-Garrido, Michael Wasser, and Elizabeth Belding presents the results from a large-scale study of broadband performance and stability at Community Anchor Institutions (CAIs), e.g., libraries, schools and community centers. The authors find significant differences in performance between urban and rural CAIs, indicating that broadband inequality remains a persist problem.
In the editorial, AIMS 2026 Workshop Report, kc claffy presents a summary of the 19th Workshop on Active Internet Measurements (AIMS-19) held at the Center for Applied Internet Data Analysis
(CAIDA) at UC San Diego.
The editorial paper, From SRM to NDN: Lessons on Data-Centric Communication from Three Decades of Networking, by Tianyuan Yu, Adam Thieme, Junxiao Shi, Lan Wang, and Lixia Zhang presents a restrospective view of 30-year old work on scalable-and-reliable-multicast (SRM). The paper argues that reliable multicast can be achieved more effectively by means of the basic, network-level communication mechanisms of Named Data Networking (NDN), and that NDN is a better network architecture for group communication than traditional TCP/IP. To paraphrase the reviewers, these unorthodox ideas deserve to be heard.
In Unknown Is Not False: On Negative Results and the Limits of Inference, Fabián E. Bustamante presents an editorial based on his keynote presentation at the 2026 ACM Workshop on Negative Results in Network Measurements (NetNeg). In this thought-provoking article, the author argues that having insufficient evidence to validate a hypothesis can itself be a meaningful scientific result.
I hope that you will enjoy reading this new issue.