Dr Matthew Luckie

Senior Lecturer (Computer Science)

Qualifications: BMS(Hons) PhD Waikato

Contact Details

Room: G.1.30
Phone: +64 7 838 4299
Extension: 4299

Research Interests

  • Collecting and analysing router and AS-level Internet topology data, especially (1) economic relationships between ASes, (2) inferring the router-level topology, and (3) development of distributable software for collecting IP-level data.
  • Internet topology, routing, and performance in IPv6, particulary the interactions with middleboxes and future evolution.
  • Troubleshooting of IP networks, particulary TCP performance issues.

Teaching Commitments

Recent Publications

  • Sanger, R., Luckie, M., & Nelson, R. (2019). Identifying equivalent SDN forwarding behaviour. In Proc 2019 ACM Symposium on SDN Research (SOSR '19) (pp. 127-139). New York, NY: ACM. doi:10.1145/3314148.3314347 Open Access version:

  • Sanger, R., Cowie, B., Luckie, M., & Nelson, R. (2018). Characterising the limits of the OpenFlow slow-path. In 4th IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Conference held Verona, Itay.

  • Lone, Q., Luckie, M., Korczynski, M., Asghari, H., Javed, M., & van Eeten, M. (2018). Using crowdsourcing marketplaces for network measurements: the case of Spoofer. In Proc 2nd Network Traffic Measurement and Analysis Conference (TMA 2018) (pp. 1-8). Conference held Vienna, Austria. doi:10.23919/TMA.2018.8506499

  • Dhamdhere, A., Clark, D. D., Gamero-Garrido, A., Luckie, M., Mok, R. K. P., Akiwate, G., . . . claffy, K. (2018). Inferring persistent interdomain congestion. In Proc 2018 Conference of the ACM Special Interest Group on Data Communication (SIGCOMM'18) (pp. 1-15). New York, NY: ACM. doi:10.1145/3230543.3230549

Find more research publications by Matthew Luckie