V. Id-unit-field-format and .. , 35 2.3 Comparison between the proposed solution (case 3) with the other existing approaches (case 1 and 2), p.37

. Wi-fi-alliance, Wi-Fi device shipments to surpass 15 billion by end of 2016 Available: http://www.wi-fi.org/news-events/newsroom/ wi-fi-device-shipments-to-surpass-15-billion-by-end-of, 2016.

G. Association, IR.51 -IMS Profile for Voice, Video and SMS over Wi-Fi Version 3.0, 2016.

F. , B. Jemaa, and M. Pariente, Personalized and seamless Wi-Fi access to Venue-Based Services, 2014 International Conference and Workshop on the Network of the Future (NOF, pp.1-6, 2014.
DOI : 10.1109/nof.2014.7119770

URL : https://hal.archives-ouvertes.fr/hal-01331951

F. B. Jemaa, G. Pujolle, and M. Pariente, Labels for common venue-based services Available: https, Internet Draft, 2014.

F. B. Jemaa, G. Pujolle, and M. Pariente, Towards software-based carrier Wi-Fi architecture for a wider range of services
URL : https://hal.archives-ouvertes.fr/hal-01331952

F. B. Jemaa, G. Pujolle, and M. Pariente, Cloudlet-and NFV-based carrier Wi-Fi architecture for a wider range of services, Annals of Telecommunications, pp.1-8, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01292428

F. B. Jemaa, G. Pujolle, and M. Pariente, QoS-aware VNF placement optimization in edge-central carrier cloud architecture, 2016 IEEE Global Communications Conference (GLOBECOM). IEEE, 2016.

. Wi-fi-alliance, Wi-Fi Aware

E. Guttman, C. Perkins, J. Veizades, and M. Day, Service location protocol Available: https, 1999.

S. Cheshire and M. Krochmal, Dns-based service discovery Available: https://tools.ietf.org/html/ rfc6763 Jini Discovery & Join Specification Version 3.0 Available: https, Internet Requests for Comments, RFC, vol.676321, 2013.
DOI : 10.17487/rfc6763

Y. Y. Goland, T. Cai, P. Leach, Y. Gu, and S. Albright, Simple service discovery protocol/1.0 operating without an arbiter Available: https, Internet Draft, 1999.

J. Tsai, C. Liu, H. Elgebaly, and J. P. Kardach, Service discovery architecture and method for wireless networks, U.S. Patent, vol.7, pp.403-512, 2008.

D. Stephenson, E. Torres, J. Salowey, C. Ersoy, and N. Cam-winget, Pre-association mechanism to provide detailed description of wireless services, U.S. Patent, vol.20, pp.140-122, 2014.

V. Gupta and N. Canpolat, Broadcast/multicast based network discovery, 2009.

T. W. Kuehnel, A. A. Hassan, C. Huitema, D. Jones, S. Guven et al., Mechanism to convey discovery information in a wireless network, U.S. Patent, vol.8, pp.559-350, 2013.

P. J. Leach, M. Mealling, and R. Salz, A universally unique identifier (uuid) urn namespace Internet Requests for Comments, RFC 4122 Available: https://tools.ietf.org/html/rfc4122 Status of Project IEEE 802.11aq -Pre-Association Discovery (PAD), 2005.
DOI : 10.17487/rfc4122

F. Yergeau, UTF-8, a transformation format of ISO 10646 Internet Requests for Comments Available: https, 2003.

H. Schulzrinne, A uniform resource name (urn) for emergency and other well-known services Available: https, 2008.
DOI : 10.17487/rfc5031

L. Yang, P. Zerfos, and E. Sadot, Architecture taxonomy for control and provisioning of wireless access points (capwap), Internet Requests for Comments, vol.4118, 2005.
DOI : 10.17487/rfc4118

J. Vestin, P. Dely, A. Kassler, N. Bayer, H. Einsiedler et al., CloudMAC, ACM SIGMOBILE Mobile Computing and Communications Review, vol.16, issue.4, pp.42-45, 2013.
DOI : 10.1145/2436196.2436217

P. Salvador, S. Paris, C. Pisa, P. Patras, Y. Grunenberger et al., A modular, flexible and virtualizable framework for IEEE 802, Future Network & Mobile Summit, vol.11, pp.1-8, 2012.

L. Xia, S. Kumar, X. Yang, P. Gopalakrishnan, Y. Liu et al., Virtual wifi: bring virtualization from wired to wireless, ACM SIGPLAN Notices, pp.181-192, 2011.

O. Braham and G. Pujolle, Virtual wireless network urbanization, 2011 International Conference on the Network of the Future, pp.31-34, 2011.
DOI : 10.1109/NOF.2011.6126678

URL : https://hal.archives-ouvertes.fr/hal-00641904

G. Aljabari and E. Eren, Virtualization of wireless LAN infrastructures, Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, pp.837-841, 2011.
DOI : 10.1109/IDAACS.2011.6072889

T. Hamaguchi, T. Komata, T. Nagai, and H. Shigeno, A Framework of Better Deployment for WLAN Access Point Using Virtualization Technique, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops
DOI : 10.1109/WAINA.2010.61

T. Nagai and H. Shigeno, A Framework of AP Aggregation Using Virtualization for High Density WLANs, 2011 Third International Conference on Intelligent Networking and Collaborative Systems, pp.350-355, 2011.
DOI : 10.1109/INCoS.2011.19

F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, Fog computing and its role in the internet of things, Proceedings of the first edition of the MCC workshop on Mobile cloud computing, MCC '12, pp.13-16, 2012.
DOI : 10.1145/2342509.2342513

O. Consortium, Available: https://www.openfogconsortium

S. Davy, J. Famaey, J. Serrat, J. L. Gorricho, A. Miron et al., Challenges to support edge-as-a-service, IEEE Communications Magazine, vol.52, issue.1, pp.132-139, 2014.
DOI : 10.1109/MCOM.2014.6710075

URL : http://hdl.handle.net/2117/21442

A. Manzalini, R. Minerva, F. Callegati, W. Cerroni, and A. Campi, Clouds of virtual machines in edge networks, IEEE Communications Magazine, vol.51, issue.7, pp.63-70, 2013.
DOI : 10.1109/MCOM.2013.6553679

Q. Li, H. Niu, A. Papathanassiou, and G. Wu, Edge cloud and underlay networks: Empowering 5g cell-less wireless architecture, Proceedings of European Wireless Conference, pp.1-6, 2014.

M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies, The Case for VM-Based Cloudlets in Mobile Computing, IEEE Pervasive Computing, vol.8, issue.4, pp.14-23, 2009.
DOI : 10.1109/MPRV.2009.82

K. A. Khan, Q. Wang, C. Grecos, C. Luo, and X. Wang, MeshCloud: Integrated cloudlet and wireless mesh network for real-time applications, 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS), pp.317-320, 2013.
DOI : 10.1109/ICECS.2013.6815418

M. Felemban, S. Basalamah, and A. Ghafoor, A distributed cloud architecture for mobile multimedia services, IEEE Network, vol.27, issue.5, pp.20-27, 2013.
DOI : 10.1109/MNET.2013.6616111

W. El-hajj and H. Alazemi, Optimal frequency assignment for IEEE 802.11 wireless networks, Wireless Communications and Mobile Computing, vol.1, issue.4, pp.131-141, 2009.
DOI : 10.1002/wcm.532

A. Farsi, N. Achir, and K. Boussetta, WLAN planning: Separate and joint optimization of both access point placement and channel assignment, annals of telecommunications - annales des t??l??communications, vol.5, issue.1, pp.5-6, 2015.
DOI : 10.1007/s12243-014-0447-2

URL : https://hal.archives-ouvertes.fr/hal-01251971

M. Bernaschi, F. Cacace, G. Iannello, M. Vellucci, and L. Vollero, OpenCAPWAP: An open source CAPWAP implementation for the management and configuration of WiFi hot-spots, Computer Networks, vol.53, issue.2, pp.217-230, 2009.
DOI : 10.1016/j.comnet.2008.09.016

. Opencapwap-code-source, Available: https://github

P. Calhoun, M. Montemurro, and D. Stanley, Control and provisioning of wireless access points (CAPWAP) protocol binding for IEEE 802, Internet Requests for Comments, vol.11, issue.5416, 2009.

J. Sahoo, S. Mohapatra, and R. Lath, Virtualization: A Survey on Concepts, Taxonomy and Associated Security Issues, 2010 Second International Conference on Computer and Network Technology, pp.222-226, 2010.
DOI : 10.1109/ICCNT.2010.49

Q. Zhang, L. Cheng, and R. Boutaba, Cloud computing: state-of-the-art and research challenges, Journal of Internet Services and Applications, vol.33, issue.4, pp.7-18, 2010.
DOI : 10.1007/s13174-010-0007-6

B. P. Rimal, E. Choi, and I. Lumb, A Taxonomy and Survey of Cloud Computing Systems, 2009 Fifth International Joint Conference on INC, IMS and IDC, pp.44-51, 2009.
DOI : 10.1109/NCM.2009.218

A. J. Ferrer, F. Hernández, J. Tordsson, E. Elmroth, A. Ali-eldin et al., OPTIMIS: A holistic approach to cloud service provisioning, Future Generation Computer Systems, vol.28, issue.1, pp.66-77, 2012.
DOI : 10.1016/j.future.2011.05.022

URL : http://dspace.lib.ntua.gr/handle/123456789/33200

M. Silvano and T. Paolo, Knapsack problems: algorithms and computer implementations, 1990.

A. Verma, P. Ahuja, and A. Neogi, pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems, pp.243-264, 2008.
DOI : 10.1109/MC.2003.1250880

N. Bobroff, A. Kochut, and K. Beaty, Dynamic Placement of Virtual Machines for Managing SLA Violations, 2007 10th IFIP/IEEE International Symposium on Integrated Network Management, pp.119-128, 2007.
DOI : 10.1109/INM.2007.374776

J. Dong, X. Jin, H. Wang, Y. Li, P. Zhang et al., Energy-saving virtual machine placement in cloud data centers, 13th IEEE/ACM International Symposium on Cluster , Cloud and Grid Computing (CCGrid, pp.618-624, 2013.

J. Levine and F. Ducatelle, Ant colony optimization and local search for bin packing and cutting stock problems, Journal of the Operational Research Society, vol.29, issue.7, pp.705-716, 2004.
DOI : 10.1016/S0305-0548(00)00082-4

URL : http://strathprints.strath.ac.uk/4823/1/strathprints004823.pdf

B. Li, J. Li, J. Huai, T. Wo, Q. Li et al., EnaCloud: An Energy-Saving Application Live Placement Approach for Cloud Computing Environments, 2009 IEEE International Conference on Cloud Computing, pp.17-24, 2009.
DOI : 10.1109/CLOUD.2009.72

B. Brugger, K. F. Doerner, R. F. Hartl, and M. Reimann, AntPacking ??? An Ant Colony Optimization Approach for the One-Dimensional Bin Packing Problem, Evolutionary Computation in Combinatorial Optimization, pp.41-50, 2004.
DOI : 10.1007/978-3-540-24652-7_5

A. Beloglazov and R. Buyya, Adaptive threshold-based approach for energy-efficient consolidation of virtual machines in cloud data centers, Proceedings of the 8th International Workshop on Middleware for Grids, Clouds and e-Science, MGC '10, p.4, 2010.
DOI : 10.1145/1890799.1890803

M. Y. Lim, F. Rawson, T. Bletsch, and V. W. Freeh, PADD: Power Aware Domain Distribution, 2009 29th IEEE International Conference on Distributed Computing Systems, pp.239-247, 2009.
DOI : 10.1109/ICDCS.2009.47

A. Khosravi, S. K. Garg, and R. Buyya, Energy and Carbon-Efficient Placement of Virtual Machines in Distributed Cloud Data??Centers, European Conference on Parallel Processing, pp.317-328, 2013.
DOI : 10.1007/978-3-642-40047-6_33

L. T. Kou and G. Markowsky, Multidimensional Bin Packing Algorithms, IBM Journal of Research and Development, vol.21, issue.5, pp.443-448, 1977.
DOI : 10.1147/rd.215.0443

C. Chekuri and S. Khanna, On Multi-Dimensional Packing Problems, SODA, pp.185-194, 1999.

E. Feller, L. Rilling, and C. Morin, Energy-Aware Ant Colony Based Workload Placement in Clouds, 2011 IEEE/ACM 12th International Conference on Grid Computing, pp.26-33, 2011.
DOI : 10.1109/Grid.2011.13

URL : https://hal.archives-ouvertes.fr/inria-00594992

M. Stillwell, D. Schanzenbach, F. Vivien, and H. Casanova, Resource allocation algorithms for virtualized service hosting platforms, Journal of Parallel and Distributed Computing, vol.70, issue.9, pp.962-974, 2010.
DOI : 10.1016/j.jpdc.2010.05.006

URL : https://hal.archives-ouvertes.fr/inria-00527066

S. Srikantaiah, A. Kansal, and F. Zhao, Energy aware consolidation for cloud computing, Proceedings of the 2008 conference on Power aware computing and systems, 2008.

Y. Gao, H. Guan, Z. Qi, Y. Hou, and L. Liu, A multi-objective ant colony system algorithm for virtual machine placement in cloud computing, Journal of Computer and System Sciences, vol.79, issue.8, pp.1230-1242, 2013.
DOI : 10.1016/j.jcss.2013.02.004

T. C. Ferreto, M. A. Netto, R. N. Calheiros, and C. A. De-rose, Server consolidation with migration control for virtualized data centers, Future Generation Computer Systems, vol.27, issue.8, pp.1027-1034, 2011.
DOI : 10.1016/j.future.2011.04.016

G. Khanna, K. Beaty, G. Kar, and A. Kochut, Application Performance Management in Virtualized Server Environments, 2006 IEEE/IFIP Network Operations and Management Symposium NOMS 2006, pp.373-381, 2006.
DOI : 10.1109/NOMS.2006.1687567

U. Bellur and C. S. Rao, Optimal placement algorithms for virtual machines, 2010.

D. Ye and J. Chen, Non-cooperative games on multidimensional resource allocation, Future Generation Computer Systems, vol.29, issue.6, pp.1345-1352, 2013.
DOI : 10.1016/j.future.2013.02.004

J. Tordsson, R. S. Montero, R. Moreno-vozmediano, and I. M. Llorente, Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers, Future Generation Computer Systems, vol.28, issue.2, pp.358-367, 2012.
DOI : 10.1016/j.future.2011.07.003

W. Shi and B. Hong, Towards profitable virtual machine placement in the data center, Fourth IEEE International Conference on Utility and Cloud Computing (UCC). IEEE, pp.138-145, 2011.

J. A. Aroca, A. F. Anta, M. A. Mosteiro, C. Thraves, and L. Wang, Power-efficient Assignment of Virtual Machines to Physical Machines, Adaptive Resource Management and Scheduling for Cloud Computing, pp.71-88, 2014.

D. Breitgand and A. Epstein, SLA-aware placement of multi-virtual machine elastic services in compute clouds, 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops, pp.161-168, 2011.
DOI : 10.1109/INM.2011.5990687

H. Goudarzi and M. Pedram, Energy-Efficient Virtual Machine Replication and Placement in a Cloud Computing System, 2012 IEEE Fifth International Conference on Cloud Computing, pp.750-757, 2012.
DOI : 10.1109/CLOUD.2012.107

D. Breitgand, A. Marashini, and J. Tordsson, Policy-driven service placement optimization in federated clouds, IBM Research Division, 2011.

R. E. Burkard98-]-e, N. M. Loiola, P. O. De-abreu, P. Boaventura-netto, T. Hahn et al., Quadratic assignment problems A survey for the quadratic assignment problem, European Journal of Operational Research, vol.176, issue.2, pp.657-690, 2007.

X. Meng, V. Pappas, and L. Zhang, Improving the Scalability of Data Center Networks with Traffic-aware Virtual Machine Placement, 2010 Proceedings IEEE INFOCOM, pp.1-9, 2010.
DOI : 10.1109/INFCOM.2010.5461930

D. M. Freimuth, X. Meng, V. Pappas, and L. Zhang, Placement of virtual machines based on server cost and network cost, 2013.

O. Biran, A. Corradi, M. Fanelli, L. Foschini, A. Nus et al., A Stable Network-Aware VM Placement for Cloud Systems, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), pp.498-506, 2012.
DOI : 10.1109/CCGrid.2012.119

W. Fang, X. Liang, S. Li, L. Chiaraviglio, and N. Xiong, VMPlanner: Optimizing virtual machine placement and traffic flow routing to reduce network power costs in cloud data centers, Computer Networks, vol.57, issue.1, pp.179-196, 2013.
DOI : 10.1016/j.comnet.2012.09.008

URL : https://hal.archives-ouvertes.fr/hal-00763175

J. Dong, H. Wang, Y. Li, and S. Cheng, Virtual machine placement optimizing to improve network performance in cloud data centers, The Journal of China Universities of Posts and Telecommunications, vol.21, issue.3, pp.62-70, 2014.
DOI : 10.1016/S1005-8885(14)60302-2

V. Mann, A. Kumar, P. Dutta, and S. Kalyanaraman, VMFlow: Leveraging VM Mobility to Reduce Network Power Costs in Data Centers, NETWORKING 2011, pp.198-211, 2011.
DOI : 10.1007/978-3-642-20757-0_16

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.8136

D. Jayasinghe, C. Pu, T. Eilam, M. Steinder, I. Whally et al., Improving Performance and Availability of Services Hosted on IaaS Clouds with Structural Constraint-Aware Virtual Machine Placement, 2011 IEEE International Conference on Services Computing, pp.72-79, 2011.
DOI : 10.1109/SCC.2011.28

N. Bansal, K. Lee, V. Nagarajan, and M. Zafer, Minimum congestion mapping in a cloud, Proceedings of the 30th annual ACM SIGACT-SIGOPS symposium on Principles of distributed computing, pp.267-276, 2011.
DOI : 10.1145/1993806.1993854

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.6895

Q. Zhang, Q. Zhu, M. F. Zhani, R. Boutaba, and J. L. Hellerstein, Dynamic Service Placement in Geographically Distributed Clouds, IEEE Journal on Selected Areas in Communications, vol.31, issue.12, pp.762-772, 2013.
DOI : 10.1109/JSAC.2013.SUP2.1213008

I. Bedhiaf, R. Ali, and O. Cherkaoui, On the problem of mapping virtual machines to physical machines for delay sensitive services, 2012 IEEE Global Communications Conference (GLOBECOM), pp.2628-2633, 2012.
DOI : 10.1109/GLOCOM.2012.6503513

V. Mann, A. Kumar, P. Dutta, and S. Kalyanaraman, VMFlow: Leveraging VM Mobility to Reduce Network Power Costs in Data Centers, International Conference on Research in Networking, pp.198-211, 2011.
DOI : 10.1007/978-3-642-20757-0_16

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.8136

M. Alicherry and T. Lakshman, Network aware resource allocation in distributed clouds, 2012 Proceedings IEEE INFOCOM, pp.963-971, 2012.
DOI : 10.1109/INFCOM.2012.6195847

W. Fang, X. Liang, S. Li, L. Chiaraviglio, and N. Xiong, VMPlanner: Optimizing virtual machine placement and traffic flow routing to reduce network power costs in cloud data centers, Computer Networks, vol.57, issue.1, pp.179-196, 2013.
DOI : 10.1016/j.comnet.2012.09.008

URL : https://hal.archives-ouvertes.fr/hal-00763175

J. Chen, K. Chiew, D. Ye, L. Zhu, and W. Chen, Aaga: Affinity-aware grouping for allocation of virtual machines, 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA). IEEE, pp.235-242, 2013.

W. Li, J. Tordsson, and E. Elmroth, Modeling for Dynamic Cloud Scheduling Via Migration of Virtual Machines, 2011 IEEE Third International Conference on Cloud Computing Technology and Science, pp.163-171, 2011.
DOI : 10.1109/CloudCom.2011.31

M. Stillwell, D. Schanzenbach, F. Vivien, and H. Casanova, Resource allocation algorithms for virtualized service hosting platforms, Journal of Parallel and Distributed Computing, vol.70, issue.9, pp.962-974, 2010.
DOI : 10.1016/j.jpdc.2010.05.006

URL : https://hal.archives-ouvertes.fr/inria-00527066

N. Bansal, K. Lee, V. Nagarajan, and M. Zafer, Minimum congestion mapping in a cloud, Proceedings of the 30th annual ACM SIGACT-SIGOPS symposium on Principles of distributed computing, pp.267-276, 2011.
DOI : 10.1145/1993806.1993854

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.6895

D. Breitgand, A. Marashini, and J. Tordsson, Policy-driven service placement optimization in federated clouds, IBM Research Division, Tech. Rep, vol.9, pp.11-15, 2011.

T. C. Ferreto, M. A. Netto, R. N. Calheiros, and C. A. De-rose, Server consolidation with migration control for virtualized data centers, Future Generation Computer Systems, vol.27, issue.8, pp.1027-1034, 2011.
DOI : 10.1016/j.future.2011.04.016

Q. Zhang, Q. Zhu, M. F. Zhani, R. Boutaba, and J. L. Hellerstein, Dynamic Service Placement in Geographically Distributed Clouds, IEEE Journal on Selected Areas in Communications, vol.31, issue.12, pp.762-772, 2013.
DOI : 10.1109/JSAC.2013.SUP2.1213008

D. Ye and J. Chen, Non-cooperative games on multidimensional resource allocation, Future Generation Computer Systems, vol.29, issue.6, pp.1345-1352, 2013.
DOI : 10.1016/j.future.2013.02.004

L. Mashayekhy, M. M. Nejad, and D. Grosu, Cloud Federations in the Sky: Formation Game and Mechanism, IEEE Transactions on Cloud Computing, vol.3, issue.1, pp.14-27, 2015.
DOI : 10.1109/TCC.2014.2338323

M. Guazzone, C. Anglano, and M. Sereno, A Game-Theoretic Approach to Coalition Formation in Green Cloud Federations, 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp.618-625, 2014.
DOI : 10.1109/CCGrid.2014.37

X. Xu, H. Yu, and X. Cong, A QoS-Constrained Resource Allocation Game in Federated Cloud, 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, pp.268-275, 2013.
DOI : 10.1109/IMIS.2013.53

L. Mashayekhy and D. Grosu, A Coalitional Game-Based Mechanism for Forming Cloud Federations, 2012 IEEE Fifth International Conference on Utility and Cloud Computing, pp.223-227, 2012.
DOI : 10.1109/UCC.2012.19

M. M. Hassan, B. Song, and E. Huh, Distributed Resource Allocation Games in Horizontal Dynamic Cloud Federation Platform, 2011 IEEE International Conference on High Performance Computing and Communications, pp.822-827, 2011.
DOI : 10.1109/HPCC.2011.116

A. Verma, P. Ahuja, and A. Neogi, pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems, ACM/IFIP/USENIX International Conference on Distributed Systems Platforms and Open Distributed Processing, pp.243-264, 2008.
DOI : 10.1109/MC.2003.1250880

W. Iqbal, M. N. Dailey, and D. Carrera, Sla-driven dynamic resource management for multitier web applications in a cloud, 10th IEEE/ACM International Conference on Cluster , Cloud and Grid Computing (CCGrid, pp.832-837, 2010.

J. Tordsson, R. S. Montero, R. Moreno-vozmediano, and I. M. Llorente, Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers, Future Generation Computer Systems, vol.28, issue.2, pp.358-367, 2012.
DOI : 10.1016/j.future.2011.07.003

E. Feller, L. Rilling, and C. Morin, Energy-Aware Ant Colony Based Workload Placement in Clouds, 2011 IEEE/ACM 12th International Conference on Grid Computing, pp.26-33, 2011.
DOI : 10.1109/Grid.2011.13

URL : https://hal.archives-ouvertes.fr/inria-00594992

Y. Gao, H. Guan, Z. Qi, Y. Hou, and L. Liu, A multi-objective ant colony system algorithm for virtual machine placement in cloud computing, Journal of Computer and System Sciences, vol.79, issue.8, pp.1230-1242, 2013.
DOI : 10.1016/j.jcss.2013.02.004

A. Beloglazov and R. Buyya, Adaptive threshold-based approach for energy-efficient consolidation of virtual machines in cloud data centers, Proceedings of the 8th International Workshop on Middleware for Grids, Clouds and e-Science, MGC '10, 2010.
DOI : 10.1145/1890799.1890803

J. A. Aroca, A. F. Anta, M. A. Mosteiro, C. Thraves, and L. Wang, Power-efficient assignment of virtual machines to physical machines, Future Generation Computer Systems, vol.54, pp.82-94, 2016.
DOI : 10.1016/j.future.2015.01.006

H. Goudarzi and M. Pedram, Energy-Efficient Virtual Machine Replication and Placement in a Cloud Computing System, 2012 IEEE Fifth International Conference on Cloud Computing, pp.750-757, 2012.
DOI : 10.1109/CLOUD.2012.107

URL : http://atrak.usc.edu/~massoud/Papers/VM-Repl-Place-cloud12.pdf

H. N. Van, F. D. Tran, and J. Menaud, Performance and Power Management for Cloud Infrastructures, 2010 IEEE 3rd International Conference on Cloud Computing, pp.329-336, 2010.
DOI : 10.1109/CLOUD.2010.25

URL : https://hal.archives-ouvertes.fr/hal-00481701

Y. Li, Y. Wang, B. Yin, and L. Guan, An energy efficient resource management method in virtualized cloud environment, Network Operations and Management Symposium (AP- NOMS), 2012 14th Asia-Pacific, pp.1-8, 2012.

A. Beloglazov, J. Abawajy, and R. Buyya, Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing, Future Generation Computer Systems, vol.28, issue.5, pp.755-768, 2012.
DOI : 10.1016/j.future.2011.04.017

M. Sharifi, H. Salimi, and M. Najafzadeh, Power-efficient distributed scheduling of virtual machines using workload-aware consolidation techniques, The Journal of Supercomputing, vol.11, issue.2, pp.46-66, 2012.
DOI : 10.1007/s11227-011-0658-5

J. Dong, X. Jin, H. Wang, Y. Li, P. Zhang et al., Energy-saving virtual machine placement in cloud data centers, 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid, pp.618-624, 2013.

B. Wadhwa and A. Verma, Energy and carbon efficient VM placement and migration technique for green cloud datacenters, 2014 Seventh International Conference on Contemporary Computing (IC3), pp.189-193, 2014.
DOI : 10.1109/IC3.2014.6897171

R. Ranjana and J. Raja, A survey on power aware virtual machine placement strategies in a cloud data center, 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE), pp.747-752, 2013.
DOI : 10.1109/ICGCE.2013.6823533

J. Sekhar, G. Jeba, and S. Durga, A survey on energy efficient server consolidation through vm live migration, International Journal of Advances in Engineering & Technology, vol.5, issue.1, pp.515-525, 2012.

W. Voorsluys, J. Broberg, S. Venugopal, and R. Buyya, Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation, IEEE International Conference on Cloud Computing, pp.254-265, 2009.
DOI : 10.1007/978-3-642-10665-1_23

G. Khanna, K. Beaty, G. Kar, and A. Kochut, Application Performance Management in Virtualized Server Environments, 2006 IEEE/IFIP Network Operations and Management Symposium NOMS 2006, pp.373-381, 2006.
DOI : 10.1109/NOMS.2006.1687567

A. Amokrane, M. F. Zhani, R. Langar, R. Boutaba, and G. Pujolle, Greenhead: Virtual Data Center Embedding across Distributed Infrastructures, IEEE Transactions on Cloud Computing, vol.1, issue.1, pp.36-49, 2013.
DOI : 10.1109/TCC.2013.5

URL : https://hal.archives-ouvertes.fr/hal-01168799

D. Jayasinghe, C. Pu, T. Eilam, M. Steinder, I. Whally et al., Improving Performance and Availability of Services Hosted on IaaS Clouds with Structural Constraint-Aware Virtual Machine Placement, 2011 IEEE International Conference on Services Computing, pp.72-79, 2011.
DOI : 10.1109/SCC.2011.28

W. Shi and B. Hong, Towards profitable virtual machine placement in the data center, Fourth IEEE International Conference on Utility and Cloud Computing (UCC). IEEE, pp.138-145, 2011.

M. R. Gary and D. S. Johnson, Computers and Intractability: A Guide to the Theory of NP-completeness, 1979.

S. Sahni and T. Gonzalez, P-Complete Approximation Problems, Journal of the ACM, vol.23, issue.3, pp.555-565, 1976.
DOI : 10.1145/321958.321975

J. Puchinger and G. R. , Combining Metaheuristics and Exact Algorithms in Combinatorial Optimization: A Survey and Classification, International Work-Conference on the Interplay Between Natural and Artificial Computation, pp.41-53, 2005.
DOI : 10.1007/11499305_5

URL : https://hal.archives-ouvertes.fr/hal-01299565

. Free-software-foundation, . Inc, . Gnu-linear-programming, and . Kit, Available: https

I. Optimizer, Available: https://www-01.ibm.com/software

L. T. Kou and G. Markowsky, Multidimensional Bin Packing Algorithms, IBM Journal of Research and Development, vol.21, issue.5, pp.443-448, 1977.
DOI : 10.1147/rd.215.0443

I. H. Osman and G. Laporte, Metaheuristics: A bibliography, Annals of Operations Research, vol.2, issue.5, pp.511-623, 1996.
DOI : 10.1007/BF02125421

J. Xu and J. A. Fortes, Multi-Objective Virtual Machine Placement in Virtualized Data Center Environments, 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
DOI : 10.1109/GreenCom-CPSCom.2010.137

S. Mehraghdam, M. Keller, and H. Karl, Specifying and placing chains of virtual network functions, 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet)
DOI : 10.1109/CloudNet.2014.6968961

URL : http://arxiv.org/abs/1406.1058

S. Son, G. Jung, and S. C. Jun, An SLA-based cloud computing that facilitates resource allocation in the distributed data centers of a cloud provider, The Journal of Supercomputing, vol.42, issue.3, pp.606-637, 2013.
DOI : 10.1007/s11227-012-0861-z

J. Tordsson, R. S. Montero, R. Moreno-vozmediano, and I. M. Llorente, Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers, Future Generation Computer Systems, vol.28, issue.2, pp.358-367, 2012.
DOI : 10.1016/j.future.2011.07.003

Q. Zhang, Q. Zhu, M. F. Zhani, R. Boutaba, and J. L. Hellerstein, Dynamic Service Placement in Geographically Distributed Clouds, IEEE Journal on Selected Areas in Communications, vol.31, issue.12, pp.762-772, 2013.
DOI : 10.1109/JSAC.2013.SUP2.1213008

M. Alicherry and T. Lakshman, Network aware resource allocation in distributed clouds, 2012 Proceedings IEEE INFOCOM, pp.963-971
DOI : 10.1109/INFCOM.2012.6195847

R. Van-den-bossche, K. Vanmechelen, and J. Broeckhove, Cost-Optimal Scheduling in Hybrid IaaS Clouds for Deadline Constrained Workloads, 2010 IEEE 3rd International Conference on Cloud Computing, pp.228-235, 2010.
DOI : 10.1109/CLOUD.2010.58

J. Altmann and M. M. Kashef, Cost model based service placement in federated hybrid clouds, Future Generation Computer Systems, vol.41, pp.79-90, 2014.
DOI : 10.1016/j.future.2014.08.014

R. N. Calheiros and R. Buyya, Cost-effective provisioning and scheduling of deadlineconstrained applications in hybrid clouds, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) LNCS, vol.7651, pp.171-184, 2012.

M. Malawski, K. Figiela, and J. Nabrzyski, Cost minimization for computational applications on hybrid cloud infrastructures, Future Generation Computer Systems, vol.29, issue.7, pp.1786-1794, 2013.
DOI : 10.1016/j.future.2013.01.004

X. Qiu, W. L. Yeow, C. Wu, and F. C. Lau, Cost-minimizing preemptive scheduling of mapreduce workloads on hybrid clouds, IEEE International Workshop on Quality of Service, pp.213-218, 2013.

X. Zuo, G. Zhang, and W. Tan, Self-Adaptive Learning PSO-Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud, IEEE Transactions on Automation Science and Engineering, vol.11, issue.2, pp.564-573, 2014.
DOI : 10.1109/TASE.2013.2272758

F. Bari, S. R. Chowdhury, R. Ahmed, and R. Boutaba, On orchestrating virtual network functions, 2015 11th International Conference on Network and Service Management (CNSM), pp.50-56, 2015.
DOI : 10.1109/CNSM.2015.7367338

B. Addis, D. Belabed, M. Bouet, and S. Secci, Virtual network functions placement and routing optimization, 2015 IEEE 4th International Conference on Cloud Networking (CloudNet), pp.2015-171
DOI : 10.1109/CloudNet.2015.7335301

URL : https://hal.archives-ouvertes.fr/hal-01170042

A. Baumgartner, V. S. Reddy, and T. Bauschert, Mobile core network virtualization: A model for combined virtual core network function placement and topology optimization, Proceedings of the 2015 1st IEEE Conference on Network Softwarization (NetSoft), pp.1-9, 2015.
DOI : 10.1109/NETSOFT.2015.7116162

T. Taleb, M. Bagaa, and A. Ksentini, User mobility-aware Virtual Network Function placement for Virtual 5G Network Infrastructure, 2015 IEEE International Conference on Communications (ICC), pp.3879-3884, 2015.
DOI : 10.1109/ICC.2015.7248929

R. Riggio, A. Bradai, T. Rasheed, J. Schulz-zander, S. Kuklinski et al., Virtual network functions orchestration in wireless networks, 2015 11th International Conference on Network and Service Management (CNSM), pp.108-116, 2015.
DOI : 10.1109/CNSM.2015.7367346

URL : https://hal.archives-ouvertes.fr/hal-01292221

Y. Dong, X. Yang, J. Li, G. Liao, K. Tian et al., High performance network virtualization with SR-IOV, Journal of Parallel and Distributed Computing, vol.72, issue.11, pp.1471-1480, 2012.
DOI : 10.1016/j.jpdc.2012.01.020

E. Gelenbe, G. Pujolle, and J. Nelson, Introduction to queueing networks, 1998.

J. Labetoulle, G. Pujolle, and C. Soula, Stationary Distributions of Flows in Jackson Networks, Mathematics of Operations Research, vol.6, issue.2, pp.173-185, 1981.
DOI : 10.1287/moor.6.2.173

G. L. Nemhauser and L. A. Wolsey, Integer and combinatorial optimization john wiley & sons, 1988.
DOI : 10.1002/9781118627372

URL : http://dx.doi.org/10.1016/s0898-1221(99)91259-2

C. Hwang and A. S. Masud, Multiple Objective Decision Making, Methods and Applications: a state-of-the-art survey, 1979.
DOI : 10.1007/978-3-642-45511-7

R. T. Marler and J. S. Arora, The weighted sum method for multi-objective optimization: new insights, Structural and Multidisciplinary Optimization, vol.46, issue.6, pp.853-862, 2010.
DOI : 10.1007/s00158-009-0460-7

M. Pedram and I. Hwang, Power and Performance Modeling in a Virtualized Server System, 2010 39th International Conference on Parallel Processing Workshops, pp.520-526, 2010.
DOI : 10.1109/ICPPW.2010.76

D. Raumer, F. Wohlfart, D. Scholz, P. Emmerich, and G. Carle, Performance exploration of software-based packet processing systems, Leistungs-, Zuverlässigkeits-und Verlässlichkeitsbewertung von Kommunikationsnetzen und verteilten Systemen, 8. GI/ITG- Workshop MMBnet, 2015.

J. Löfberg, YALMIP : a toolbox for modeling and optimization in MATLAB, 2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508), pp.284-289, 2004.
DOI : 10.1109/CACSD.2004.1393890

. Opencontrail, Available: https://www.openstack.org Software Defined Networking (SDN) and Network Function Virtualisation (NFV) for Wi-Fi network, 2016.

A. and B. Docomo, WBA project launched since 2011 and conducted through four phases It aims to deliver a next generation Wi-Fi experience based on a seamless and secure access to public Wi-Fi access points on home and roaming partners' networks around the world. Furthermore, it helps drive the industry toward adoption of NGH networks. The trial involves end-to-end inter-operator testing of the NGH requirements in a " real world" production environment. The trial is driven by a strong participation of a large community of industry players including mobile and Wi-Fi operators (e.g, infrastructure vendors device vendors (e.g., Intel, Samsung, Mediatek), and hub providers (BSG Wireless and Syniverse Technologies