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Machine learning for a 5G future




           As a concrete summary of the presented challenges and  ant colony optimization approach.  In Proceedings
           opportunities, five relevant research questions were proposed  of the 2014 conference on Genetic and evolutionary
           as future directions (i.e. RQ 1 to RQ 5) to further advance  computation, pages 41–48. ACM, 2014.
           this research field.
                                                              [10] Fabio López-Pires and Benjamín Barán.  A virtual
                                                                  machine placement taxonomy. In Cluster, Cloud and
                            REFERENCES
                                                                  Grid Computing (CCGrid), 2015 15th IEEE/ACM
            [1] Augusto Amarilla, Saúl Zalimben, Leonardo Benítez,  International Symposium on, pages 159–168. IEEE
               Fabio López-Pires, and Benjamín Barán. Evaluating  Computer Society, May 2015.
               a two-phase virtual machine placement optimization
               scheme for cloud computing datacenters.  In 2017  [11] Fabio López-Pires and Benjamín Barán.  Cloud
               Metaheuristics International Conference (MIC), pages  computing  resource  allocation  taxonomies.
               99–108, 2017.                                      International  Journal  of  Cloud  Computing,
                                                                  6(3):238–264, 2017.
            [2] Anton Beloglazov, Jemal Abawajy, and Rajkumar
               Buyya.  Energy-aware resource allocation heuristics  [12] Fabio  López-Pires  and  Benjamín  Barán.
               for efficient management of data centers for cloud   Many-objective virtual machine placement. Journal of
               computing.  Future Generation Computer Systems,    Grid Computing, 15(2):161–176, 2017.
               28(5):755–768, 2012.                           [13] Fabio López-Pires, Benjamín Barán, Augusto Amarilla,
            [3] Anton Beloglazov and Rajkumar Buyya.  Optimal     Leonardo Benítez,  Rodrigo Ferreira,  and Saúl
               online deterministic algorithms and adaptive heuristics  Zalimben. An experimental comparison of algorithms
               for  energy  and  performance  efficient  dynamic    for virtual machine placement considering many
               consolidation of virtual machines in cloud data    objectives. In 9th Latin America Networking Conference
               centers. Concurrency and Computation: Practice and  (LANC), pages 75–79, 2016.
               Experience, 24(13):1397–1420, 2012.            [14] Fabio López-Pires, Benjamín Barán, Leonardo Benítez,
            [4] Nicolò Maria Calcavecchia, Ofer Biran, Erez Hadad,  Saúl Zalimben, and Augusto Amarilla. Virtual machine
               and Yosef Moatti. Vm placement strategies for cloud  placement for elastic infrastructures in overbooked
               scenarios. In Cloud Computing (CLOUD), 2012 IEEE   cloud computing datacenters under uncertainty. Future
               5th International Conference on, pages 852–859. IEEE,  Generation Computer Systems, 79:830 – 848, 2018.
               2012.
                                                              [15] Ryszard S Michalski, Jaime G Carbonell, and Tom M
            [5] Fahimeh Farahnakin, Rami Bahsoon, Pasi Liljeberg,  Mitchell. Machine learning: An artificial intelligence
               and  Tapio  Pahikkala.   Self-adaptive  resource   approach. Springer Science & Business Media, 2013.
               management system in iaas clouds. In Rami Bahsoon,  [16] Bruno Astuto A Nunes, Marc Mendonca, Xuan-Nam
               Pasi Liljeberg, and Tapio Pahikkala, editors, 9th  Nguyen,  Katia Obraczka,  and Thierry Turletti.
               International Conference on Cloud Computing (IEEE  A survey of software-defined networking:  Past,
               CLOUD), pages 553–560. IEEE, 2016.
                                                                  present,  and future of programmable networks.
            [6] Eugen Feller, Christine Morin, and Armel Esnault. A  IEEE  Communications  Surveys  &  Tutorials,
               case for fully decentralized dynamic vm consolidation  16(3):1617–1634, 2014.
               in clouds. In Cloud Computing Technology and Science  [17] Peter Rost, Carlos J Bernardos, Antonio De Domenico,
               (CloudCom), 2012 IEEE 4th International Conference  Marco Di Girolamo, Massinissa Lalam, Andreas
               on, pages 26–33. IEEE, 2012.
                                                                  Maeder, Dario Sabella, and Dirk Wübben.  Cloud
            [7] J. Huang, C. Li, and J. Yu. Resource prediction based  technologies for flexible 5g radio access networks. IEEE
               on double exponential smoothing in cloud computing.  Communications Magazine, 52(5):68–76, 2014.
               In 2012 2nd International Conference on Consumer  [18] Jiyuan Shi, Fang Dong, Jinghui Zhang, Junzhou Luo,
               Electronics, Communications and Networks (CECNet),
               pages 2056–2060, April 2012.                       and Ding Ding.  Two-phase online virtual machine
                                                                  placement in heterogeneous cloud data center.  In
            [8] Diego Ihara, Fabio López-Pires, and Benjamín Barán.  Systems, Man, and Cybernetics (SMC), 2015 IEEE
               Many-objective virtual machine placement for dynamic  International Conference on, pages 1369–1374. IEEE,
               environments. In 2015 IEEE/ACM 8th International   2015.
               Conference on Utility and Cloud Computing (UCC),
               pages 75–79. IEEE, 2015.                       [19] Petter Sv, Wubin Li, Eddie Wadbro, Johan Tordsson,
                                                                  Erik Elmroth,  et al.    Continuous datacenter
            [9] Xiao-Fang Liu, Zhi-Hui Zhan, Ke-Jing Du, and      consolidation.  In 2015 IEEE 7th International
               Wei-Neng Chen.    Energy aware virtual machine     Conference on Cloud Computing Technology and
               placement scheduling in cloud computing based on   Science (CloudCom), pages 387–396. IEEE, 2015.





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