Browsing by Author "Schmidt, Thomas C."

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  • ItemOpen Access
    Datasets for paper "ReACKed QUICer: Measuring the Performance of Instant Acknowledgments in QUIC Handshakes"
    (Technische Universität Dresden, 2024-10-28) Mücke, Jonas; Nawrocki, Marcin; Hiesgen, Raphael; Schmidt, Thomas C.; Wählisch, Matthias
    This dataset contains Qlog and packet captures to measure the Performance of Instant Acknowledgements in (i) an emulated testbed and (ii) CDNs. See https://doi.org/10.5281/zenodo.13743301 Abstract: In this paper, we present a detailed performance analysis of QUIC instant ACK, a standard-compliant approach to reduce waiting times during the QUIC connection setup in common CDN deployments. To understand the root causes of the performance properties, we combine numerical analysis and the emulation of eight QUIC implementations using the QUIC Interop Runner. Our experiments comprehensively cover packet loss and non-loss scenarios, different round trip times, and TLS certificate sizes. To clarify instant ACK deployments in the wild, we conduct active measurements of 1M popular domain names. For almost all domain names under control of Cloudflare, Cloudflare uses instant ACK, which in fact improves performance. We also find, however, that instant ACK may lead to unnecessary retransmissions or longer waiting times under some network conditions, raising awareness of drawbacks of instant ACK in the future.
  • ItemOpen Access
    Datasets for paper "Scanning the IPv6 Internet Using Subnet-Router Anycast Probing"
    (Technische Universität Dresden, 2025-10-30) Koch, Maynard; Hiesgen, Raphael; Nawrocki, Marcin; Schmidt, Thomas C.; Wählisch, Matthias
    This dataset is supplement to https://doi.org/10.5281/zenodo.17210253 and contains all the necessary data to re-create plots and tables of the following paper: Scanning the IPv6 Internet Using Subnet-Router Anycast Probing Maynard Koch, Raphael Hiesgen, Marcin Nawrocki, Thomas C. Schmidt, and Matthias Wählisch Proc. ACM Netw., Vol. 3, No. CoNEXT4, Article 50. Publication date: December 2025. https://doi.org/10.1145/3768997 Paper Abstract: Identifying active IPv6 addresses is challenging. Various methods emerged to master the measurement challenge in this huge address space, including hitlists, new probing techniques, and AI-generated target lists. In this short paper, we apply active Subnet-Router anycast (SRA) probing, a commonly unused method to explore the IPv6 address space. We compare our results with lists of active IPv6 nodes obtained from prior methods and with random probing. Our findings indicate that probing an SRA address reveals on average 10% more router IP addresses than random probing and is far less affected by ICMP rate limiting. Compared to targeting router addresses directly, SRA probing discovers 80% more addresses. We conclude that SRA probing is an important addition to the IPv6 measurement toolbox and may improve the stability of results significantly. We also find evidence that some active scans can cause harmful conditions in current IPv6 deployments, which we started to fix in collaboration with network operators.