The Proceedings of the ACM on Networking (PACMNET) series showcases top-tier research in emerging computer networks and their applications. We welcome submissions introducing new technologies, innovative experiments, creative applications of networking technologies, and fresh insights gained through analysis. Supported by the ACM Special Interest Group on Communications and Computer Networks (SIGCOMM), the journal is backed by a distinguished Editorial Board composed of leading researchers in the field. This issue concludes the third volume of PACMNET, which in total published 50 articles, with a growth of 56% compared to the second volume. This testifies to the success of PACMNET and its community. This issue features 32 articles, all submitted by the June 2025 deadline, when a total of 181 submissions were received, 172 of which were reviewed after we desk-rejected 9 articles. Each submission underwent a thorough review process involving 85 Editors, coordinated by two Associate Editors. In the initial phase, every article received a minimum of three reviews. Following an online discussion, roughly a third of the submissions were rejected, while the rest advanced to a second review phase. In this phase, Editors produced at least two additional reviews per article. After a second discussion phase, the Editors met online to decide which articles to accept after a minor revision, which to offer a ''one-shot-major'' revision opportunity, and which to reject. The Editors decided to offer a one-shot major revision option to 15 articles, and decided to accept with minor revisions 32 articles. This year's collection of 32 papers showcases a vibrant spectrum of innovations across networking, systems, and a significant growth of papers using machine learning for networking or networking for machine learning. The contributions span from foundational measurement studies - such as large-scale evaluations of 5G Standalone deployments and IPv6 probing techniques - to cutting-edge systems like SwitchNIC and MorphOS that redefine performance and flexibility in networked environments. Several works tackle the challenges of congestion control, latency, and energy efficiency in data centers and wireless networks, while others introduce novel frameworks for secure memory disaggregation, dynamic spectrum enforcement, and carbon-aware routing. Advances in machine learning are prominently featured, powering breakthroughs in traffic inference, wireless localization, and outage detection. The program also includes pioneering efforts in immersive media streaming, VR cloud gaming, and satellite networking, reflecting the community's commitment to shaping the future of connectivity. Collectively, these papers push the boundaries of scalability, reliability, and adaptability in modern networked systems. We want to express our gratitude to all those who contributed to this issue of PACMNET, especially the Authors for submitting their finest work and the Associate Editors for offering valuable feedback in their reviews and engaging in the discussions. Our thanks also go to the SIGCOMM Executive Committee Chair and the CoNEXT Steering Committee members for their continued support and guidance, providing essential suggestions and insights throughout the article selection process.
Lutu et al. (Mon,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: