| Breadcrumbs: Efficient, best-effort content location in cache networks EJ Rosensweig, J Kurose IEEE INFOCOM 2009, 2631-2635, 2009 | 286 | 2009 |
| Approximate models for general cache networks EJ Rosensweig, J Kurose, D Towsley 2010 Proceedings IEEE INFOCOM, 1-9, 2010 | 265 | 2010 |
| On the steady-state of cache networks EJ Rosensweig, DS Menasche, J Kurose 2013 Proceedings IEEE INFOCOM, 863-871, 2013 | 109 | 2013 |
| Method and apparatus for automated deployment of geographically distributed applications within a cloud EJ Rosensweig, E Shalev, S Mendel, A Rosenfeld, S Barzilay, R Haiby, ... US Patent 9,712,402, 2017 | 91 | 2017 |
| Can machine learning aid in delivering new use cases and scenarios in 5G? TS Buda, H Assem, L Xu, D Raz, U Margolin, E Rosensweig, DR Lopez, ... NOMS 2016-2016 IEEE/IFIP Network Operations and Management Symposium, 1279-1284, 2016 | 46 | 2016 |
| Group detection in mobility traces YC Chen, E Rosensweig, J Kurose, D Towsley Proceedings of the 6th international wireless communications and mobile …, 2010 | 35 | 2010 |
| Method and apparatus for provisioning resources using clustering RS Bhatia, B Gupta, E Rosensweig US Patent 9,825,875, 2017 | 22 | 2017 |
| A network calculus for cache networks EJ Rosensweig, J Kurose 2013 Proceedings IEEE INFOCOM, 85-89, 2013 | 22 | 2013 |
| Performance evaluation of partial deployment of breadcrumbs in content oriented networks T Tsutsui, H Urabayashi, M Yamamoto, E Rosensweig, JF Kurose 2012 IEEE International Conference on Communications (ICC), 5828-5832, 2012 | 19 | 2012 |
| On the impact of PMU placement on observability and cross-validation D Gyllstrom, E Rosensweig, J Kurose Proceedings of the 3rd International Conference on Future Energy Systems …, 2012 | 18 | 2012 |
| Allocation of resources based on constraints and conflicting goals EJ Rosensweig, S Mendel, D Krasnenko, E Shalev US Patent 9,203,705, 2015 | 14 | 2015 |
| Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure B Ordozgoiti, A Mozo, SG Canaval, U Margolin, E Rosensweig, I Segall COSTAC 2017, 59, 2017 | 10 | 2017 |
| Using machine learning to detect noisy neighbors in 5g networks U Margolin, A Mozo, B Ordozgoiti, D Raz, E Rosensweig, I Segall arXiv preprint arXiv:1610.07419, 2016 | 7 | 2016 |
| Performance evaluation of partial deployment of an in-network cache location guide scheme, breadcrumbs H Nakajima, T Tsutsui, H Urabayashi, M Yamamoto, E Rosensweig, ... IEICE Transactions on Communications 99 (1), 157-166, 2016 | 6 | 2016 |
| Systems And Methods For Providing Prediction-Based Dynamic Monitoring EJ Rosensweig, E Shalev, S Mendel-Brin, D Krasnenko, V Feigin, I Afek US Patent App. 13/902,087, 2014 | 5 | 2014 |
| Max observability PMU placement with cross-validation D Gyllstrom, E Rosensweig, J Kurose Proceedings of 2012 Third Annual Conference on Future Energy Systems, 1-10, 2011 | 5 | 2011 |
| Minimizing overhead over-provisioning costs in machine configurations RS Bhatia, B Gupta, E Rosensweig US Patent 9,740,510, 2017 | 4 | 2017 |
| Multiple-Breadcrumbs: A New In-Network Guidance for Off-Path Cache in Cache Networks Y Hayamizu, M Yamamoto, E Rosensweig, JF Kurose IEICE Transactions on Communications 101 (12), 2388-2396, 2018 | 2 | 2018 |
| On the analysis and management of cache networks EJ Rosensweig University of Massachusetts Amherst, 2012 | 2 | 2012 |
| Profile-based SLA guarantees under workload migration in a distributed cloud EJ Rosensweig, E Shalev, S Mendel-Brin, D Krasnenko, I Afek US Patent 9,929,918, 2018 | 1 | 2018 |
