.. .. Conclusion,

.. .. Summary,

. Gregory-d-abowd, Towards a better understanding of context and contextawareness, International Symposium on Handheld and Ubiquitous Computing, pp.304-307, 1999.

N. Agoulmine, Autonomic network management principles: from concepts to applications, p.5, 2010.

V. Alarcon-aquino and J. A. Barria, Multiresolution FIR neural-network-based learning algorithm applied to network traffic prediction, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol.36, pp.208-220, 2006.

A. Sermet-anagun, Development of Committee Neural Network for Computer Access Security System, Computational Science and Its Applications -ICCSA, 2006.

M. Gavrilova, , pp.978-981, 2006.

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.

G. Aristomenopoulos, Autonomic mobility and resource management over an integrated wireless environment -A GANA oriented architecture, 2010 IEEE Globecom Workshops, pp.545-550, 2010.

C. M. Assi, Dynamic bandwidth allocation for quality-of-service over Ethernet PONs, IEEE Journal on Selected Areas in Communications, vol.21, pp.1467-1477, 2003.

M. Baldauf, S. Dustdar, and F. Rosenberg, A Survey on Context& Aware Systems, Int. J. Ad Hoc Ubiquitous Comput, vol.2, issue.4, pp.1743-8225, 2007.

T. Bandh, Coordination of autonomic function execution in Self-Organizing Networks, pp.34-40, 2013.

A. Banerjee and R. N. Dave, Validating clusters using the Hopkins statistic, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542), vol.1, pp.149-153, 2004.

H. Bang, Dynamic bandwidth allocation method for high link utilization to support NSR ONUs in GPON, The 12th International Conference on Advanced Communication Technology (ICACT), vol.1, pp.884-889, 2010.

R. Boutaba, S. Omari, and A. P. Virk, SELFCON: An architecture for self-configuration of networks, Journal of Communications and Networks, vol.3, pp.1229-2370, 2001.

E. P. George and . Box, Time series analysis: forecasting and control, 2015.

D. Breuer, Opportunities for next-generation optical access, IEEE Communications Magazine, vol.49, pp.16-24, 2011.

A. Rizwan and . Butt, A Survey of Dynamic Bandwidth Assignment Schemes for TDM-Based Passive Optical Network, Journal of Optical Communications

J. Cannady, Artificial neural networks for misuse detection, National information systems security conference, pp.368-81, 1998.

V. W. Chan, Cognitive optical wireless network, 2016 18th International Conference on Transparent Optical Networks (ICTON), pp.1-4, 2016.

R. Chaparadza, Implementation Guide for the ETSI AFI GANA model: A Standardized Reference Model for Autonomic Networking, Cognitive Networking and SelfManagement, 2013 IEEE Globecom Workshops (GC Wkshps), pp.935-940, 2013.

R. Chaparadza, Implementation Guide for the ETSI AFI GANA model: A Standardized Reference Model for Autonomic Networking, Cognitive Networking and SelfManagement, 2013 IEEE Globecom Workshops (GC Wkshps), pp.935-940, 2013.

S. I. Choi and J. Park, SLA-Aware Dynamic Bandwidth Allocation for QoS in EPONs, IEEE/OSA Journal of Optical Communications and Networking, vol.2, issue.9, pp.1943-0620, 2010.

L. Ciavaglia, Coordination of Self-Organizing Network Mechanisms: Framework and Enablers, International Conference on Mobile Networks and Management, pp.174-184, 2011.

L. Ciavaglia, Coordination of Self-Organizing Network Mechanisms: Framework and Enablers, International Conference on Mobile Networks and Management, pp.174-184, 2011.

, Specification of cognitive network management framework and functions, Celtic Project: Deliverable D.3.1, pp.1-109, 2012.

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

J. L. Deng, Introduction to Grey System Theory, pp.957-3720, 1989.

A. Dixit, Dynamic bandwidth allocation with SLA awareness for QoS in ethernet passive optical networks, IEEE/OSA Journal of Optical Communications and Networking, vol.5, pp.1943-0620, 2013.

A. Dixit, Jitter performance for QoS in Ethernet passive optical networks, Optical Communication (ECOC), 2011 37th European Conference and Exhibition on, pp.1-3, 2011.

. Ll-eberhardt, Some developments in'distance sampling, Biometrics, pp.207-216, 1967.

M. Ester, A density-based algorithm for discovering clusters in large spatial databases with noise, vol.96, pp.226-231, 1996.

, Autonomic network engineering for the self-managing, ETSI GS AFI 002 V1.1.1

, Generic Autonomic Network Architecture (An Architectural Reference Model for Autonomic Networking, Cognitive Networking and Self-Management), pp.11-13, 2013.

M. Feknous, Status reporting versus non status reporting dynamic bandwidth allocation, 2015 6th International Conference on the Network of the Future (NOF), pp.1-7, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01247512

M. Feknous, Multi-Criteria Comparison Between Legacy and Next Generation Point of Presence Broadband Network Architectures, Advances in Computer Science: an International Journal, vol.4, pp.126-140, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01172279

L. Florio and E. D. Nitto, Gru: An Approach to Introduce Decentralized Autonomic Behavior in Microservices Architectures, 2016 IEEE International Conference on Autonomic Computing (ICAC), pp.357-362, 2016.

. Itu-t-g, G.9807.1 : 10-Gigabit-capable symmetric passive optical network (XGS-PON)", in: ITU-T standards, 2016.

. Itu-t-g, Gigabit-capable Passive Optical Networks (G-PON): General characteristics, 2008.

. Itu-t-g.987, 10-Gigabit-capable passive optical network (XG-PON), 2010.

. Itu-t-g, 40-Gigabit-capable passive optical networks (NG-PON2), 2013.

. Itu-t-g, Very high speed digital subscriber line transceivers 2 (VDSL2)

A. Galani, Core functional and network empower mechanisms of an operatordriven, framework for unifying autonomic network and service management, 2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), pp.191-195, 2012.

A. G. Ganek and T. A. Corbi, The Dawning of the Autonomic Computing Era, IBM Syst. J, vol.42, pp.5-18, 2003.

A. Greenberg, A Clean Slate 4D Approach to Network Control and Management, SIGCOMM Comput, vol.35, pp.146-4833, 2005.

J. Han, J. Pei, and M. Kamber, Data mining: concepts and techniques, pp.484-486, 2011.

J. Han, J. Pei, and M. Kamber, Data mining: concepts and techniques, pp.443-476, 2011.

O. Haran and A. Sheffer, The importance of dynamic bandwidth allocation in GPON networks, p.1, 2008.

P. Hernandez, Resource Management Research in Ethernet Passive Optical Networks, 2013.

P. Holgate, Some new tests of randomness, The Journal of Ecology, pp.261-266, 1965.

D. Hood and E. Trojer, Gigabit-capable passive optical networks, 2012.

B. Hopkins and J. G. Skellam, A new method for determining the type of distribution of plant individuals, Annals of Botany, vol.18, pp.213-227, 1954.

C. Hsu and C. Chen, Applications of improved grey prediction model for power demand forecasting, Energy Conversion and management, vol.44, pp.2241-2249, 2003.

J. Rob, G. Hyndman, and . Athanasopoulos, Forecasting: Principles and Practice, 2018.

, An architectural blueprint for autonomic computing, IBM White Paper, p.31, 2006.

. Itu-t, M3010: Principles for a telecommunications management network, 2000.

. Itu-t-g, Gigabit-capable Passive Optical Networks (G-PON): Transmission convergence layer specification, vol.984, 2014.

A. K. Jain, M. N. Murty, and P. J. Flynn, Data Clustering: A Review

. Surv, , vol.31, pp.264-323, 1999.

K. Anil and . Jain, Data clustering: 50 years beyond K-means, Pattern recognition letters, vol.31, pp.651-666, 2010.

B. Jennings, Towards autonomic management of communications networks, IEEE Communications Magazine, vol.45, pp.163-6804, 2007.

R. Nicholas, M. Jennings, and . Wooldridge, Software agents, IEE review, pp.17-20, 1996.

R. Jouini, Employing Grey Model forecasting GM(1,1) to historical medical sensor data towards system preventive in smart home e-health for elderly person, 2016 International Wireless Communications and Mobile Computing Conference (IWCMC), pp.1086-1091, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01313304

, Transactions on Geoscience and Remote Sensing, vol.55, pp.196-2892, 2017.

J. O. Kephart and D. M. Chess, The vision of autonomic computing, Computer, vol.36, pp.41-50, 2003.

C. Klimasauskas, Training a neural network, Applying neural networks. Part, vol.3, pp.20-24, 1991.

S. Kukli?ski, GARSON: Management performance aware approach to autonomic and cognitive networks, 2012 IEEE Globecom Workshops, pp.914-918, 2012.

C. H. Lee, W. V. Sorin, and B. Y. Kim, Fiber to the Home Using a PON Infrastructure, Journal of Lightwave Technology, vol.24, pp.733-8724, 2006.

J. Li, W. Dai, and H. Pan, GM(1,1) Model -Ameliorated Based on Genetic Algorithm and Its Application, Third International Conference on Natural Computation (ICNC 2007), vol.4, pp.23-27, 2007.

M. Liinasuo, Human operator perspective to autonomic network management, Proceedings of the 5th International Conference on Advances in Computer-Human Interaction (ACHI 2012), pp.128-134, 2012.

S. Lin and H. Yin, A Novel Optical Network Model for Resource Balance and Congestion Reduction, 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing, pp.1-4, 2011.

I. Loumiotis, Optimal Backhaul Resource Management in Wireless-Optical Converged Networks, Internet of Things. IoT Infrastructures: First International Summit, pp.978-981, 2014.

C. Lu, 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.

M. Lu and W. Wang, An autonomic wireless video transmission system based on GANA, 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, vol.02, pp.826-830, 2012.

M. Luoto, Distributed decision engine -An information management architecture for autonomie wireless networking, 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), pp.713-719, 2015.

J. Macqueen, Some methods for classification and analysis of multivariate observations, Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, vol.1, pp.281-297, 1967.

Q. Mahmoud, Cognitive networks: towards self-aware networks, pp.23-51, 2007.

N. Merayo, Fair bandwidth allocation algorithm for PONS based on network utility maximization, IEEE/OSA Journal of Optical Communications and Networking, vol.9, issue.1, pp.75-86, 2017.

I. De-miguel, Cognitive dynamic optical networks, IEEE/OSA Journal of Optical Communications and Networking, vol.5, pp.107-118, 2013.

J. Milojkovi? and V. Litovski, ANN versus Grey theory based forecasting methods implemented on short time series, 10th Symposium on Neural Network Applications in Electrical Engineering, pp.117-122, 2010.

S. Mouafo, Applications de l'intelligence artificielle à la détection et l'isolation de pannes multiples dans un réseau de télécommunications, 2017.

Z. Movahedi, A Survey of Autonomic Network Architectures and Evaluation Criteria, IEEE Communications Surveys Tutorials, vol.14, pp.1553-877, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01168689

. E-raimundo-neto, Dynamic spectral sensing and resource allocation in opticalwireless network, 2014.

D. Nowak, P. Perry, and J. Murphy, Bandwidth allocation for service level agreement aware Ethernet passive optical networks, Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE, vol.3, pp.1953-1957, 2004.

. Asgeir-thor-oskarsson, Broadband services virtual operator for bitstream open-access networks: business case and infrastructure, pp.18-22, 2011.

J. Ozimkiewicz, Evaluation of Dynamic Bandwidth Allocation Algorithms in GPON Networks, WSEAS Trans. Cir. and Sys, vol.9, issue.2, pp.1109-2734, 2010.

J. Ozimkiewiez, Dynamic bandwidth allocation in GPON networks, 4th WSEAS international conference on Circuits, systems, signal and telecommunications, pp.182-187, 2010.

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

A. Vu, A. Pham, and . Karmouch, Mobile software agents: an overview, IEEE Communications magazine, vol.36, pp.26-37, 1998.

D. L. Ja-fernández-pierna and . Massart, Improved algorithm for clustering tendency, Analytica Chimica Acta, vol.408, pp.13-20, 2000.

A. Prakash, A. Starschenko, and R. Chaparadza, Auto-discovery and Autoconfiguration of Routers in an Autonomic Network, Access Networks: 5th International ICST Conference on Access Networks, AccessNets 2010 and First ICST International Workshop on Autonomic Networking and Self-Management in Access Networks, SELFMAGICNETS 2010, pp.311-324, 2010.

C. Prehofer and C. Bettstetter, Self-organization in communication networks: principles and design paradigms, IEEE Communications Magazine, vol.43, pp.163-6804, 2005.

M. M. Rad, Passive optical network monitoring: challenges and requirements, IEEE Communications Magazine, vol.49, pp.163-6804, 2011.

E. Raimundo-neto, Cognitive broadband optical-wireless network, 2015 International Workshop on Telecommunications (IWT), pp.1-5, 2015.

J. Ramiro and K. Hamied, Self-organizing networks (SON): self-planning, selfoptimization and self-healing for GSM, UMTS and LTE, pp.50-53, 2011.

S. Kh and . Sadon, Enhanced Hierarchical Dynamic Bandwidth Allocation Algorithm with Excess Bandwidth and SLA Techniques for Upstream Ethernet PON, p.2009

, Second International Conference on Computer and Electrical Engineering, vol.2, pp.147-151, 2009.

N. Samaan and A. Karmouch, Towards Autonomic Network Management: an Analysis of Current and Future Research Directions, IEEE Communications Surveys Tutorials, vol.11, issue.3, pp.1553-877, 2009.

S. Schmid, M. Sifalakis, and D. Hutchison, Towards autonomic networks, Autonomic Networking, pp.1-11, 2006.

S. Schuetz, Autonomic and decentralized management of wireless access networks, IEEE Transactions on Network and Service Management, vol.4, pp.1932-4537, 2007.

F. Selmanovic and E. Skaljo, GPON in Telecommunication Network, International Congress on Ultra Modern Telecommunications and Control Systems, pp.1012-1016, 2010.

B. Shishkov, M. Warnier, and M. Van-sinderen, On the Application of Autonomic and Context-aware Computing to Support Home Energy Management, pp.307-313, 2010.

P. W. Shumate, Fiber-to-the-Home, Journal of Lightwave Technology, vol.26, pp.733-8724, 1977.

B. Skubic, A comparison of dynamic bandwidth allocation for EPON, GPON, and next-generation TDM PON, IEEE Communications Magazine, vol.47, pp.163-6804, 2009.

B. Skubic, Dynamic bandwidth allocation in EPON and GPON, Convergence of Mobile and Stationary Next-Generation Networks, pp.227-252, 2010.

&. Spirent, . Packet, . Analyzer, and . Pack-age, Spirent Communications, 2010.

J. Strassner, J. W. Hong, and S. Van-der-meer, The design of an Autonomic Element for Managing Emerging Networks and Services, 2009 International Conference on Ultra Modern Telecommunications Workshops, pp.1-8, 2009.

J. Strassner, N. Agoulmine, and E. Lehtihet, Focale: A novel autonomic networking architecture, Latin American Autonomic Computing Symposium (LAACS), pp.1-13, 2006.

K. Tsagkaris, Identifying standardization opportunities of an operator-driven, framework for unifying autonomic network and service management, 2012 IEEE International Conference on Communications (ICC), pp.6921-6925, 2012.

K. Tsagkaris, Operator-Driven Framework for Establishing and Unifying Autonomic Network and Service Management Solutions, 2011 IEEE GLOBECOM Workshops (GC Wkshps, pp.684-689, 2011.

S. Uma, D. E. Geetha, and T. V. Kumar, Prediction of Web Service response time using Grey system model, 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), pp.139-143, 2016.

, Univerself project deliverable D2.1: UMF Specifications Release 1, Univerself deliverables, 2011.

M. Uysal and . John-l-crompton, An overview of approaches used to forecast tourism demand, Journal of Travel Research, vol.23, pp.7-15, 1985.

. Etsi-ts, Autonomic network engineering for the self-managing, Future Internet (AFI, vol.103, pp.195-197

, Generic Autonomic Network Architecture; Part 2: An Architectural Reference Model for Autonomic Networking, Cognitive Networking and Self-Management, 2018.

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.

A. Walid and A. Chen, Self-adaptive dynamic bandwidth allocation for GPON, Bell Labs Technical Journal, vol.15, pp.1089-7089, 2010.

J. Wang, DDoS attacks traffic and Flash Crowds traffic simulation with a hardware test center platform, Internet Security (WorldCIS), 2011 World Congress on, pp.15-20, 2011.

X. Wang, Grey System Theory based prediction for topic trend on Internet, Engineering Applications of Artificial Intelligence, vol.29, pp.191-200, 2014.

R. Wies, Policies in network and systems management-Formal definition and architecture, Journal of Network and Systems Management, vol.2, pp.1573-7705, 1994.

M. Wodczak, Standardizing a reference model and autonomic network architectures for the self-managing future internet, IEEE Network, vol.25, pp.890-8044, 2011.

H. Woesner and D. Fritzsche, SDN and OpenFlow for converged access/aggregation networks, 2013 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC), pp.1-3, 2013.

L. Yi, X. Ke, and S. Junde, 2013 IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks, pp.570-576, 2013.

M. Zait and H. Messatfa, A comparative study of clustering methods, Future Generation Computer Systems, vol.13, pp.149-159, 1997.

G. S. Zervas and D. Simeonidou, Cognitive optical networks: Need, requirements and architecture, 2010 12th International Conference on Transparent Optical Networks, pp.1-4, 2010.

. Peter-zhang, Time series forecasting using a hybrid ARIMA and neural network model, Neurocomputing, vol.50, pp.159-175, 2003.

G. Zhang, M. Eddy-patuwo, and . Hu, Forecasting with artificial neural networks: The state of the art, International journal of forecasting, vol.14, pp.35-62, 1998.

K. Zhang, L. Huang, and Y. Chai, An algorithm to adaptive determination of density threshold for density-based clustering, 35th Chinese Control Conference (CCC), pp.3929-3935, 2016.