O. Haran and A. Sheffer, The importance of dynamic bandwidth allocation in GPON networks, 2008.

M. Feknous, A. Gravey, B. L. Guyader, and S. Gosselin, Status reporting versus non status reporting dynamic bandwidth allocation, 2015 6th International Conference on the Network of the Future (NOF), pp.1-7, 2015.
DOI : 10.1109/NOF.2015.7333289

URL : https://hal.archives-ouvertes.fr/hal-01247512

A. Walid and A. Chen, Self-adaptive dynamic bandwidth allocation for GPON, Bell Labs Technical Journal, vol.15, issue.3, pp.131-139, 2010.
DOI : 10.1002/bltj.20461

J. Ozimkiewicz, S. Ruepp, L. Dittmann, H. Wessing, and S. Smolorz, Evaluation of Dynamic Bandwidth Allocation Algorithms in GPON Networks, WSEAS Trans. Cir. and Sys, vol.9, issue.2, pp.111-120, 2010.

J. Ozimkiewiez, S. R. Ruepp, L. Dittmann, H. Wessing, and S. Smolorz, Dynamic bandwidth allocation in GPON networks, 4th WSEAS international conference on Circuits, systems, signal and telecommunications, pp.182-187, 2010.

M. Feknous, B. Le-guyader, P. Varga, A. Gravey, S. Gosselin et al., Multi-criteria comparison between legacy and next generation point of presence broadband network architectures, Advances in Computer Science: an International Journal, vol.4, issue.3, pp.126-140, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01172279

H. Bang, S. Kim, D. Lee, and C. Park, Dynamic bandwidth allocation method for high link utilization to support NSR ONUs in GPON, 2010 The 12th International Conference on Advanced Communication Technology (ICACT), pp.884-889, 2010.

I. Loumiotis, E. Adamopoulou, K. Demestichas, and M. Theologou, Optimal Backhaul Resource Management in Wireless-Optical Converged Networks, pp.254-261, 2015.
DOI : 10.1007/978-3-319-19743-2_36

D. Nowak, P. Perry, and J. Murphy, Bandwidth allocation for service level agreement aware ethernet passive optical networks, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04., pp.1953-1957, 2004.
DOI : 10.1109/GLOCOM.2004.1378334

URL : http://www.cs.ucd.ie/staff/jmurphy/home/publications/851.pdf

S. I. Choi and J. Park, SLA-Aware Dynamic Bandwidth Allocation for QoS in EPONs, Journal of Optical Communications and Networking, vol.2, issue.9, pp.773-781, 2010.
DOI : 10.1364/JOCN.2.000773

N. Merayo, P. Pavon-marino, J. C. Aguado, R. J. Durn, F. Burrull et al., Fair Bandwidth Allocation Algorithm for PONs Based on Network Utility Maximization, Journal of Optical Communications and Networking, vol.9, issue.1, pp.75-86, 2017.
DOI : 10.1364/JOCN.9.000075

B. Skubic, J. Chen, J. Ahmed, L. Wosinska, and B. Mukherjee, A comparison of dynamic bandwidth allocation for EPON, GPON, and next-generation TDM PON, IEEE Communications Magazine, vol.47, issue.3, pp.40-48, 2009.
DOI : 10.1109/MCOM.2009.4804388

C. M. Assi, Y. Ye, S. Dixit, and M. A. Ali, Dynamic bandwidth allocation for quality-of-service over ethernet PONs, IEEE Journal on Selected Areas in Communications, vol.21, issue.9, pp.1467-1477, 2003.
DOI : 10.1109/JSAC.2003.818837

E. Dai and W. Dai, Towards SDN for optical access networks, Spring Technical Forum Proceedings, pp.1-6, 2016.

H. Woesner and D. Fritzsche, SDN and OpenFlow for Converged Access/Aggregation Networks, Optical Fiber Communication Conference/National Fiber Optic Engineers Conference 2013, pp.1-3, 2013.
DOI : 10.1364/OFC.2013.OTu3E.4

A. K. Jain, Data clustering: 50 years beyond K-means, Pattern Recognition Letters, vol.31, issue.8, pp.651-666, 2010.
DOI : 10.1016/j.patrec.2009.09.011

URL : http://web.cse.msu.edu/~cse802/notes/JainDataClusteringPRL09.pdf

J. Han, J. Pei, and M. Kamber, Data Mining, 2011.
DOI : 10.1145/233269.233324

URL : https://hal.archives-ouvertes.fr/hal-01534761

A. K. Jain, M. N. Murty, and P. J. Flynn, Data clustering: a review, ACM Computing Surveys, vol.31, issue.3, pp.264-323, 1999.
DOI : 10.1145/331499.331504

M. Za¨?tza¨?t and H. Messatfa, A comparative study of clustering methods, Future Generation Computer Systems, vol.13, issue.2-3, pp.149-159, 1997.
DOI : 10.1016/S0167-739X(97)00018-6

I. A. Venkatkumar and S. J. Shardaben, Comparative study of data mining clustering algorithms, 2016 International Conference on Data Science and Engineering (ICDSE), pp.1-7, 2016.
DOI : 10.1109/ICDSE.2016.7823946

J. Macqueen, Some methods for classification and analysis of multivariate observations, Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, pp.281-297, 1967.

M. Ester, H. Kriegel, J. Sander, and X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, Kdd, vol.96, issue.34, pp.226-231, 1996.

C. Lu, Y. Shi, Y. Chen, S. Bao, and L. Tang, Data Mining Applied to Oil Well Using K-Means and DBSCAN, 2016 7th International Conference on Cloud Computing and Big Data (CCBD), pp.37-40, 2016.
DOI : 10.1109/CCBD.2016.018

I. V. Anikin and R. M. Gazimov, Privacy preserving DBSCAN clustering algorithm for vertically partitioned data in distributed systems, 2017 International Siberian Conference on Control and Communications (SIBCON), pp.1-4, 2017.
DOI : 10.1109/SIBCON.2017.7998473

F. Pedregosa, Scikit-learn: Machine learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905