Network Architectures, a seminar course offered by Prof Jon Crowcroft.
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[1-2] Su, J. et al. (2007). Haggle: Seamless Networking for Mobile Applications. In: Krumm, J., Abowd, G.D., Seneviratne, A., Strang, T. (eds) UbiComp 2007: Ubiquitous Computing. UbiComp 2007. Lecture Notes in Computer Science, vol 4717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74853-3_23
[1-3] Crowcroft, J., Hand, S., Mortier, R., Roscoe, T., & Warfield, A. (2003). Plutarch: an argument for network pluralism. In Proceedings of the ACM SIGCOMM Workshop on Future Directions in Network Architecture (FDNA ’03) (pp. 258–266). Association for Computing Machinery. https://doi.org/10.1145/944759.944763
[2-1] Roy, A., Zeng, H., Bagga, J., Porter, G., and Snoeren, A. C. 2015. Inside the social network’s (datacenter) network. In Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication (SIGCOMM ’15), 123–137. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/2785956.2787472
[2-2] Singh, A., Ong, J., Agarwal, A., Anderson, G., Armistead, A., Bannon, R., Boving, S., Desai, G., Felderman, B., Germano, P., Kanagala, A., Provost, J., Simmons, J., Tanda, E., Wanderer, J., Hölzle, U., Stuart, S., and Vahdat, A. 2015. Jupiter rising: A decade of Clos topologies and centralized control in Google’s datacenter network. SIGCOMM Computer Communication Review, 45(4), 183–197. https://doi.org/10.1145/2829988.2787508
[3-1] Winstein, K. and Balakrishnan, H. 2013. TCP ex machina: computer-generated congestion control. In Proceedings of the ACM SIGCOMM 2013 Conference on SIGCOMM (SIGCOMM ’13), 123–134. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/2486001.2486020
[3-2] Chinchali, S., Hu, P., Chu, T., Sharma, M., Bansal, M., Misra, R., Pavone, M., and Katti, S. 2018. Cellular network traffic scheduling with deep reinforcement learning. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, the Thirtieth Innovative Applications of Artificial Intelligence Conference, and the Eighth AAAI Symposium on Educational Advances in Artificial Intelligence (AAAI’18/IAAI’18/EAAI’18). AAAI Press, Article 94, 9 pp. https://dl.acm.org/doi/10.5555/3504035.3504129
[4-1] Vallina-Rodriguez, N., Sundaresan, S., Kreibich, C., Weaver, N., and Paxson, V. 2015. Beyond the radio: Illuminating the higher layers of mobile networks. In Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys ’15), 375–387. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/2742647.2742675
[4-2] Razaghpanah, Abbas & Nithyanand, Rishab & Vallina-Rodriguez, Narseo & Sundaresan, Srikanth & Allman, Mark & Kreibich, Christian & Gill, Phillipa. (2018). Apps, Trackers, Privacy, and Regulators: A Global Study of the Mobile Tracking Ecosystem. http://dx.doi.org/10.14722/ndss.2018.23009
[5-1] Saidi, S. J., Mandalari, A. M., Kolcun, R., Haddadi, H., Dubois, D. J., Choffnes, D., Smaragdakis, G., and Feldmann, A. 2020. A haystack full of needles: Scalable detection of IoT devices in the wild. In Proceedings of the ACM Internet Measurement Conference (IMC ’20), 87–100. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3419394.3423650
[5-2] Mineraud, J., Mazhelis, O., Su, X., and Tarkoma, S. 2016. A gap analysis of Internet-of-Things platforms. Computer Communications, 89(C), 5–16. Elsevier Science Publishers B.V., NLD. https://doi.org/10.1016/j.comcom.2016.03.015
[6-1] Kakhki, A. M., Jero, S., Choffnes, D., Nita-Rotaru, C., and Mislove, A. 2017. Taking a long look at QUIC: An approach for rigorous evaluation of rapidly evolving transport protocols. In Proceedings of the 2017 Internet Measurement Conference (IMC ’17), 290–303. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3131365.3131368
[6-2] Zhang, X., Jin, S., He, Y., Hassan, A., Mao, Z. M., Qian, F., and Zhang, Z.-L. 2024. QUIC is not Quick Enough over Fast Internet. In Proceedings of the ACM Web Conference 2024 (WWW ’24), 2713–2722. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3589334.3645323
[7-1] Scellato, S., Mascolo, C., Musolesi, M., and Crowcroft, J. 2011. Track globally, deliver locally: Improving content delivery networks by tracking geographic social cascades. In Proceedings of the 20th International Conference on World Wide Web (WWW ’11), 457–466. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/1963405.1963471
[7-2] Buldyrev, S., Parshani, R., Paul, G. et al. Catastrophic cascade of failures in interdependent networks. Nature 464, 1025–1028 (2010). https://doi.org/10.1038/nature08932
[8] Key, P., Massoulié, L., and Towsley, D. 2011. Path selection and multipath congestion control. Communications of the ACM, 54(1), 109–116. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/1866739.1866762