1st Workshop on Next-Generation Network Observability (NGNO)

Monday, September 8th | Half-day Workshop (Afternoon)

Location

The workshop will take place at Room Terceira.

Program

08:00 — 08:45 | Registration

10:30 — 11:00 | Morning coffee break

12:45 — 14:00 | Lunch Break

14:00 — 14:05 | Opening

14:05 — 14:50 | Session 1: Observing the Internet at Scale | Chair: Prof. Yahui Li

BGP AS Paths: Shorter Is Not Always Better (15min presentation, 3min Q&A)

Pascal Hennen, Cristian Munteanu, Anja Feldmann (MPI-INF)

BGPFlow: Flow-based Feature Extraction for BGP Anomaly Detection (15min presentation, 3min Q&A)

Yanxu Fu, Pei Zhang (Beijing University of Posts and Telecommunications); Han Zhang (Tsinghua University); Xiaohong Huang, Yan Ma, Kun Xie, Dandan Li (Beijing University of Posts and Telecommunications)

14:50 — 15:20 | Session 2: Advanced Traffic Monitoring and Analytics | Chair: Prof. Yahui Li

TraffIX: Monitoring Global Internet Traffic Trends by Crawling IXP Statistics (10min presentation, 2min Q&A)

Yasin Alhamwy, Oliver Hohlfeld (University of Kassel)

Traffic Analysis and Recognition in Data Insufficient Scenarios (15min presentation, 3min Q&A)

Sijiang Huang, Xiaohui Xie, Rui Xu (Tsinghua University); Cong Li, Yong Zhang (Industrial and Commercial Bank of China); Mowei Wang, Liang Zhang (Huawei Technologies); Yong Cui (Tsinghua University)

15:20 — 15:40 | DeepFlow Agent Live Demo: Vibe-Style Microservice Troubleshooting with eBPF & MCP | Yang Xiang

15:45 — 16:15 | Afternoon Coffee Break

16:15 — 17:05 | Session 3: Analyzing Application Behavior | Chair: Prof. Yahui Li

Lost in Encryption: Monitoring Audio and Video Flows without Payload in Video-Conferencing Applications (15min presentation, 3min Q&A)

Julien Gamba (Cisco ThousandEyes); Andre Felipe Zanella (Telefónica Innovación Digital); Ricardo Morla, Kyle Schomp, Álvaro Feal, Arash Molavi Kakhki (Cisco ThousandEyes)

E2E energy monitoring for AI inference in mobile networks (15min presentation, 3min Q&A)

Abhishek Dandekar, Ashrafur Rahman (TU Berlin); Julius Schulz-Zander (Fraunhofer HHI)

Simurgh: Multi-Agent Adversarial Benchmarking for Proactive Microservice Observability (15min presentation, 3min Q&A)

Navidreza Asadi, Răzvan-Mihai Ursu (Technical University of Munich); Leon Wong (Rakuten Mobile, Inc.); Wolfgang Kellerer (Technical University of Munich)

17:05 — 17:35 | Session 4: AI-Driven Anomaly Detection and Incident Resolution in Networks | Chair: Prof. Yahui Li

Best Paper Award

Portest: Port Scan Detection on Non-Programmable Switches using TCAM and Randomized Algorithm (15min presentation, 3min Q&A)

Timon Krack, Martina Zitterbart (Karlsruhe Institute of Technology)

Towards a Playground to Democratize Experimentation and Benchmarking of AI Agents for Network Troubleshooting (10min presentation, 2min Q&A)

Zhihao Wang (University of Electronic Science and Technology of China); Alessandro Cornacchia(KAUST); Franco Galante (Politecnico di Torino); Carlo Centofanti (University of L’Aquila); Alessio Sacco (Politecnico Di Torino); Dingde Jiang (University of Electronic Science and Technology of China)

17:40 — 18:20 | Pannel | Prof. Minlan Yu (Harvard University), Prof. Ying Zhang (Meta), Prof. Soudeh Ghorbani (Johns Hopkins), Dr. Yang Xiang (Yunshan Networks)



Call for Papers

In the rapidly evolving landscape of computing, sophisticated network infrastructure forms the backbone of modern enterprise business, data center functionalities, and extensive Internet services. Next-Generation Network Observability (NGNO) is defined as an advanced, intelligent framework for comprehensively understanding, analyzing, and optimizing the behavior of modern network infrastructures in real time. It transcends traditional network measurement by integrating multi-dimensional telemetry, AI-driven analytics, and cross-domain correlation to address the complexity of dynamic, distributed systems such as cloud-native applications, microservices, edge/IoT networks, and AI-driven workloads. The deep insights into the operational states and resource dynamics of network infrastructure prove essential not only for troubleshooting performance bottlenecks and maintaining service quality but also for optimizing resource allocation and strengthening security.


This workshop will bring together experts and practitioners from the fields of network monitoring, management, operation, and maintenance to discuss and present best practices, innovative tools, early ideas, and emerging techniques in network observability. It will cover a variety of topics, including capturing observability signals, correlating monitoring data, and detecting failures in network infrastructure and applications. The aim of this workshop is to provide a collaborative platform for identifying challenges and opportunities in establishing, applying, and leveraging observability for network infrastructure.

Topics of Interest

Submission Instructions

Submissions must be original, unpublished work, and not in submission to other venues. Submitted papers must be at most six pages long, including all figures, tables, references, and appendices in two-column 10pt ACM SIGCOMM format. All submissions are double-blind, in either of the following two formats:

  1. Short papers: 6 pages, including figures, tables, and any appendices and references.
  2. Lightning paper: 2 pages, with a maximum of one additional page for references only.

Please submit your paper via https://ngno25.hotcrp.com/

Important Dates

Submission deadline May 31st, 2025 (Updated)
Acceptance notification June 13th, 2025
Camera-ready deadline July 2nd, 2025
Workshop date September 8th, 2025

Organizers

General Co-Chairs Institution
Han Zhang Tsinghua University
Guyue Liu Peking University
Yang Xiang Yunshan Networks
Technical Program Committee Institution
Alan Liu University of Maryland
Congcong Miao Tencent
Jiao Zhang Beijing University of Posts and Telecommunications
Jiaqi Zheng Nanjing University
Ke Ruan China Telecom
Liz Izhikevich University of California, Los Angeles
Kun Xie Hunan University
Menghao Zhang Beihang University
Radhika Niranjan Mysore VMware Research Group
Shizhen Zhao Shanghai Jiao Tong University
Shunmin Zhu Alibaba Group
Timothy Wood George Washington University
Zhiliang Wang Tsinghua University
Xingang Shi Tsinghua University
Qiao Xiang Xiamen University
Fuliang Li Northeastern University
Soudeh Ghorbani Johns Hopkins