Academic literature on the topic 'Migration des VNFs'
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Journal articles on the topic "Migration des VNFs"
Qiao, Wenxin, Hao Lu, Yu Lu, Lijie Meng, and Yicen Liu. "A Dynamic Service Reconfiguration Method for Satellite–Terrestrial Integrated Networks." Future Internet 13, no. 10 (October 9, 2021): 260. http://dx.doi.org/10.3390/fi13100260.
Full textWei, Yifei, Yuning Jia, Jun Li, and Xiaojun Wang. "RESEARCH ON 5G NETWORK RESOURCE ORCHESTRATION ALGORITHM BASED ON NETWORK VIRTUALIZATION TECHNOLOGY." Latin American Applied Research - An international journal 52, no. 4 (September 25, 2022): 347–52. http://dx.doi.org/10.52292/j.laar.2022.970.
Full textLv, Yan-xia, Sen Zhong, Hexin Tang, Bin Luo, Shao-Juan Chen, Long Chen, Fei Zheng, et al. "VEGF-A and VEGF-B Coordinate the Arteriogenesis to Repair the Infarcted Heart with Vagus Nerve Stimulation." Cellular Physiology and Biochemistry 48, no. 2 (2018): 433–49. http://dx.doi.org/10.1159/000491775.
Full textLiu, Yanyang, Jing Ran, Hefei Hu, and Bihua Tang. "Energy-Efficient Virtual Network Function Reconfiguration Strategy Based on Short-Term Resources Requirement Prediction." Electronics 10, no. 18 (September 17, 2021): 2287. http://dx.doi.org/10.3390/electronics10182287.
Full textZhou, Xinhao, Bo Yi, Xingwei Wang, and Min Huang. "Approach for minimising network effect of VNF migration." IET Communications 12, no. 20 (December 20, 2018): 2574–81. http://dx.doi.org/10.1049/iet-com.2018.5188.
Full textValdes-Ferrer, Sergio, Mauricio Rosas-Ballina, Peder Olofsson, Sangeeta Chavan, and Kevin Tracey. "Vagus Nerve Stimulation Produces an Anti-Inflammatory Monocyte Phenotype in Blood. (138.25)." Journal of Immunology 184, no. 1_Supplement (April 1, 2010): 138.25. http://dx.doi.org/10.4049/jimmunol.184.supp.138.25.
Full textYi, Bo, Xingwei Wang, Min Huang, and Kexin Li. "Design and Implementation of Network-Aware VNF Migration Mechanism." IEEE Access 8 (2020): 44346–58. http://dx.doi.org/10.1109/access.2020.2978002.
Full textQu, Hua, Ke Wang, and Jihong Zhao. "Priority-awareness VNF migration method based on deep reinforcement learning." Computer Networks 208 (May 2022): 108866. http://dx.doi.org/10.1016/j.comnet.2022.108866.
Full textYi, Bo, Xingwei Wang, Min Huang, and Anwei Dong. "A multi-criteria decision approach for minimizing the influence of VNF migration." Computer Networks 159 (August 2019): 51–62. http://dx.doi.org/10.1016/j.comnet.2019.04.010.
Full textKarapetjana, Indra, and Gunta Roziņa. "Lexicogrammatical aspects in English for dentistry acquisition materials." Valoda: nozīme un forma / Language: Meaning and Form 12 (December 2021): 64–73. http://dx.doi.org/10.22364/vnf.12.05.
Full textDissertations / Theses on the topic "Migration des VNFs"
Biallach, Hanane. "Optimization of VNF reconfiguration problem for 5G network slicing." Electronic Thesis or Diss., Compiègne, 2022. http://www.theses.fr/2022COMP2707.
Full textIn recent years, because of the unprecedented growth in the number of connected devices and mobile data, and the ongoing developments in technologies to address this enormous data demand, the fifth generation (5G) network has emerged. The forthcoming 5G architecture will be essentially based on Network Slicing (NS), which enables provide a flexible approach to realize the 5G vision. Thanks to the emerging Network Function Virtualization (NFV) concept, the network functions are decoupled from dedicated hardware devices and realized in the form of software. This offers more flexibility and agility in business operations. Despite the advantages it brings, NFV raises some technical challenges, the reconfiguration problem is one of them. This problem, which is NP-Hard, consists in reallocating the Virtual Network Functions (VNFs) to fit the network changes, by transforming the current state of deployed services, e.g., the current placement of Virtual Machines (VM) that host VNFs, to another state that updates providers’ objectives. This PhD thesis investigates how to reconfigure the VNFs by migrating them to an optimal state that could be computed in advance or free placement. In this thesis, we studied both cases while minimizing the service interruption duration and the VNF migration duration. We have proposed exact and approximate methods. Among the exact methods, we cite two ILP models. We also proposed two heuristic approaches, one based on column generation and the second using the concept of “arc set feedback”. The overall objective of this work is therefore to define and study the problem of VNF reconfiguration problem in the context of 5G network slicing, and propose mathematical models and efficient algorithms to solve the underlying optimization problems
Cho, Daewoong. "Network Function Virtualization (NFV) Resource Management For Low Network Latency." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17256.
Full textBook chapters on the topic "Migration des VNFs"
Zhuang, Weihua, and Kaige Qu. "Dynamic VNF Resource Scaling and Migration: A Machine Learning Approach." In Wireless Networks, 85–129. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87136-9_4.
Full textConference papers on the topic "Migration des VNFs"
Cisneros, Josue Castaneda, Sami Yangui, Saul E. Pomares Hernandez, Julio Cesar Perez Sansalvador, and Khalil Drira. "Coordination Algorithm for Migration of Shared VNFs in Federated Environments." In 2020 6th IEEE International Conference on Network Softwarization (NetSoft). IEEE, 2020. http://dx.doi.org/10.1109/netsoft48620.2020.9165333.
Full textSugisono, Koji, Aki Fukuoka, and Hirofumi Yamazaki. "Migration for VNF Instances Forming Service Chain." In 2018 IEEE 7th International Conference on Cloud Networking (CloudNet). IEEE, 2018. http://dx.doi.org/10.1109/cloudnet.2018.8549194.
Full textAidi, Saifeddine, Mohamed Faten Zhani, and Yehia Elkhatib. "On Optimizing Backup Sharing Through Efficient VNF Migration." In 2019 IEEE Conference on Network Softwarization (NetSoft). IEEE, 2019. http://dx.doi.org/10.1109/netsoft.2019.8806678.
Full textZhang, Fangyu, Hancheng Lu, Fengqian Guo, and Zhuojia Gu. "Traffic Prediction Based VNF Migration with Temporal Convolutional Network." In GLOBECOM 2021 - 2021 IEEE Global Communications Conference. IEEE, 2021. http://dx.doi.org/10.1109/globecom46510.2021.9685818.
Full textVu, Xuan Tuong, Jangwon Lee, Quang Huy Nguyen, Kyoungjae Sun, and Younghan Kim. "An architecture for enabling VNF auto-scaling with flow migration." In 2020 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2020. http://dx.doi.org/10.1109/ictc49870.2020.9289507.
Full textSarrigiannis, Ioannis, Elli Kartsakli, Kostas Ramantas, Angelos Antonopoulos, and Christos Verikoukis. "Application and Network VNF migration in a MEC-enabled 5G Architecture." In 2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). IEEE, 2018. http://dx.doi.org/10.1109/camad.2018.8514943.
Full textZhang, Jinshi, Liang Li, and Dong Wang. "Optimizing VNF live migration via para-virtualization driver and QuickAssist technology." In ICC 2017 - 2017 IEEE International Conference on Communications. IEEE, 2017. http://dx.doi.org/10.1109/icc.2017.7997166.
Full textIbrahimpasic, Amina Lejla, Bin Han, and Hans D. Schotten. "AI-Empowered VNF Migration as a Cost-Loss-Effective Solution for Network Resilience." In 2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW). IEEE, 2021. http://dx.doi.org/10.1109/wcncw49093.2021.9420029.
Full textCho, Daewoong, Javid Taheri, Albert Y. Zomaya, and Pascal Bouvry. "Real-Time Virtual Network Function (VNF) Migration toward Low Network Latency in Cloud Environments." In 2017 IEEE 10th International Conference on Cloud Computing (CLOUD). IEEE, 2017. http://dx.doi.org/10.1109/cloud.2017.118.
Full textMingshi, Wen, Li Junqin, Hai Tianxiang, Wang Pingping, Yin Kang, Hao Jiakai, Zhu Diwen, Yang Yang, and Tong Riming. "Failure Prediction Based VNF Migration Mechanism for Multimedia Services in Power Grid Substation Monitoring." In 2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, 2022. http://dx.doi.org/10.1109/bmsb55706.2022.9828707.
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