Prof. Anja Feldmann, Ph.D.

Principal Investigator

Prof. Anja Feldmann, Ph.D. (TU Berlin), has been director of the Max Planck Institute for Computer Science in Saarbrücken and honorary professor at the TU Berlin and Saarland University since the beginning of 2018. She studied computer science at the University of Paderborn from which she graduated in 1990. She then continued her studies at Carnegie Mellon University (USA), where she obtained her Master of Science in 1991 and her Ph.D. four years later. She spent the following four years as a researcher at AT&T Labs Research before accepting professorships at Saarland University and the TU Munich.

Since 2006 she has held the Chair of Internet Network Architectures at Telekom Innovation Laboratories, an institute affiliated with the TU Berlin. In May 2012, she became the first female member of the SAP Supervisory Board, representing management.

Fields of Research

Data analytics, Software defined networking, Internet measurement, Traffic characterization, Network management, Network performance debugging, Improving application performance.

Contact

E-mail:                  anja.feldmann@tu-berlin.de

Organisation:      Max Planck Institute for Informatics (MPI), Technische Universität Berlin (TU Berlin)

Publications 2020

Feldmann, A., Gasser, O., Lichtblau, F., Pujol, E., Poese, I., Dietzel, C., … Smaragdakis, G. (2020a). The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic. In IMC’20, 20th ACM Internet Measurement Conference. Virtual Event, USA: ACM. doi:10.1145/3419394.3423658

Maghsoudlou, A., Gasser, O., & Feldmann, A. (2020). Reserved: Dissecting Internet Traffic on Port 0. In Extended abstract of a poster presented at Passive and Active Measurement Conference (PAM) 2020. Virtual Conference. Retrieved from http://arxiv.org/abs/2004.03653 (arXiv: 2004.03653)

Shukla, A., Saidi, S. J., Schmid, S., Canini, M., Zinner, T., & Feldmann, A. (2020). Toward Consistent SDNs: A Case for Network State Fuzzing. IEEE Transactions on Network and Service Management, 17(2). doi:10.1109/TNSM.2019.2955790

Semmler, N., Rost, M., Smaragdakis, G., & Feldmann, A. (2020). Edge Replication Strategies for Wide-Area Distributed Processing. In EdgeSys’20, Third ACM International Workshop on Edge Systems, Analytics and Networking. Heraklion, Greece: ACM. doi:10.1145/3378679.3394532

Shukla, A., Hudemann, K., Vági, Z., Hügerich, L., Smaragdakis, G., Schmid, S., … Feldmann, A. (2020). Towards Runtime Verification of Programmable Switches. Retrieved from http://arxiv.org/abs/2004.10887
(arXiv: 2004.10887)

Enghardt, T., Zinner, T., & Feldmann, A. (2020). Using Informed Access Network Selection to Improve HTTP Adaptive Streaming Performance. In MMSys’20, 11th ACM Multimedia Systems Conference. Istanbul, Turkey: ACM. doi:10.1145/3339825.3391865

Feldmann, A., Gasser, O., Lichtblau, F., Pujol, E., Poese, I., Dietzel, C., … Smaragdakis, G. (2020b). A View of Internet Traffic Shifts at ISP and IXPs during the COVID-19 Pandemic. In COVID-19 Network Impacts Workshop. Virtual Workshop: IAB. Retrieved from https://www.iab.org/activities/workshops/covid-19-network-impacts-workshop-2020/

Saidi, S. J., Maghsoudlou, A., Foucard, D., Smaragdakis, G., Poese, I., & Feldmann, A. (2020). Exploring Network-Wide Flow Data with Flowyager. IEEE Transactions on Network and Service Management. doi:10.1109/TNSM.2020.3034278

Saidi, S. J., Mandalari, A. M., Kolcun, R., Haddadi, H., Dubois, D. J., Choffnes, D., … Feldmann, A. (2020). A Haystack Full of Needles: Scalable Detection of IoT Devices in the Wild. In IMC’20, 20th ACM Internet Measurement Conference. Virtual Event, USA: ACM. doi:10.1145/3419394.3423650

Publications 2019

Enghardt, T., Zinner, T., & Feldmann, A. (2019). Web Performance Pitfalls. In Passive and Active Measurement Conference (PAM 2019). Puerto Varas, Chile: Springer. doi:10.1007/978-3-030-15986-3_19

Shukla, A., Saidi, S. J., Schmid, S., Canini, M., Zinner, T., & Feldmann, A. (2019a). Towards Consistent SDNs: A Case for Network State Fuzzing. IEEE Transactions on Network and Service Management, (Early Access). doi:10.1109/TNSM.2019.2955790

Bajpai, V., Brunstrom, A., Feldmann, A., Kellerer, W., Pras, A., Schulzrinne, H., … Wehrle, K. (2019a). The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research. ACM SIGCOMM Computer Communication Review, 49(1). doi:10.1145/3314212.3314217

Bajpai, V., Brunstrom, A., Feldmann, A., Kellerer, W., Pras, A., Schulzrinne, H., … Wehrle, K. (2019b). The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research. Retrieved from http://arxiv.org/abs/1902.02165 (arXiv: 1902.02165)
 
Pujol, E., Poese, I., Zerwas, J., Smaragdakis, G., & Feldmann, A. (2019). Steering Hyper-Giants’ Traffic at Scale. In CoNEXT’19, 15th International Conference on Emerging Networking Experiments And Technologies. Orlando, FL, USA: ACM. doi:10.1145/3359989.3365430
 
Semmler, N., Smaragdakis, G., & Feldmann, A. (2019a). Online Replication Strategies for Distributed Data Stores. Open Journal of Internet Of Things, 5(1). Retrieved from urn:nbn:de:101:1-2019092919335387371884
 
Semmler, N., Smaragdakis, G., & Feldmann, A. (2019b). Distributed Mega-Datasets: The Need for Novel Computing Primitives. In 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019). Richardson, TX, USA: IEEE Computer Society. doi:10.1109/ICDCS.2019.00167
 
Shukla, A., Saidi, S. J., Schmid, S., Canini, M., Zinner, T., & Feldmann, A. (2019b). Consistent SDNs through Network State Fuzzing. Retrieved from http://arxiv.org/abs/1904.08977
(arXiv: 1904.08977)
 
Enghardt, T., Tiesel, P. S., Zinner, T., & Feldmann, A. (2019). Informed Access Network Selection: The Benefits of Socket Intents for Web Performance. In 15th International Conference on Network and Service Management (CNSM 2019). Halifax, Canada: IEEE. doi:10.23919/CNSM46954.2019.9012714