Academic literature on the topic 'Migration des VNFs'

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Journal articles on the topic "Migration des VNFs"

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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.

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Satellite–terrestrial integrated networks (STINs) are regarded as a promising solution to meeting the demands of global high-speed seamless network access in the future. Software-defined networking and network function virtualization (SDN/NFV) are two complementary technologies that can be used to ensure that the heterogeneous resources in STINs can be easily managed and deployed. Considering the dual mobility of satellites and ubiquitous users, along with the dynamic requirements of user requests and network resource states, it is challenging to maintain service continuity and high QoE performance in STINs. Thus, we investigate the service migration and reconfiguration scheme, which are of great significance to the guarantee of continuous service provisioning. Specifically, this paper proposes a dynamic service reconfiguration method that can support flexible service configurations on integrated networks, including LEO satellites and ground nodes. We first model the migration cost as an extra delay incurred by service migration and reconfiguration and then formulate the selection processes of the location and migration paths of virtual network functions (VNFs) as an integer linear programming (ILP) optimization problem. Then, we propose a fuzzy logic and quantum genetic algorithm (FQGA) to obtain an approximate optimal solution that can accelerate the solving process efficiently with the benefits of the high-performance computing capacity of QGA. The simulation results validate the effectiveness and improved performance of the scheme proposed in this paper.
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Wei, 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.

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With the advancement of wireless network technology to the next generation, network function virtualization (NFV) brings the advantages of centralized scheduling of virtual wireless resources and the ability to orchestrate virtual network functions. This makes it possible to dynamically deploy and manage service function chains (SFCs) in virtualized wireless networks according to changes in network load. Through the network function virtualization technology, the DU/CU separation architecture under 5G-NG-RAN is considered. Aiming at the resource orchestration problem of the 5G access network virtual protocol stack function and service function chain after deployment, an energy-aware virtualized network function instance (VNFI) orchestration algorithm is proposed. By modeling the underlying physical network and node energy consumption, the node load, resource type, tolerable delay and migration loss are included in the decision, and the state of the general server node is divided into two types: running state and sleep state. The algorithm decouples the decision-making process of VNF migration into two specific modules, namely "the VNF selection module" and "the migration destination node selection module". It is verified by simulation that compared with other energy-saving strategies, the algorithm in this paper has better performance in reducing energy consumption and reducing migration loss, and it can take into account both the reduction of the number of open server nodes and the improvement of resource utilization.
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Lv, 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.

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Background/Aims: Vagus nerve stimulation (VNS) suppresses arrhythmic activity and minimizes cardiomyocyte injury. However, how VNS affects angiogenesis/arteriogenesis in infarcted hearts, is poorly understood. Methods: Myocardial infarction (MI) was achieved by ligation of the left anterior descending coronary artery (LAD) in rats. 7 days after LAD, stainless-steel wires were looped around the left and right vagal nerve in the neck for vagus nerve stimulation (VNS). The vagal nerve was stimulated with regular pulses of 0.2ms duration at 20 Hz for 10 seconds every minute for 4 hours, and then ACh levels by ELISA in cardiac tissue and serum were evaluated for its release after VNS. Three and 14 days after VNS, Real-time PCR, immunostaining and western blot were respectively used to determine VEGF-A/B expressions and α-SMA- and CD31-postive vessels in VNS-hearts with pretreatment of α7-nAChR blocker mecamylamine (10 mg/kg, ip) or mACh-R blocker atropine (10 mg/kg, ip) for 1 hour. The coronary function and left ventricular performance were analyzed by Langendorff system and hemodynamic parameters in VNS-hearts with pretreatment of VEGF-A/B-knockdown or VEGFR blocker AMG706. Coronary arterial endothelial cells proliferation, migration and tube formation were evaluated for angiogenesis following the stimulation of VNS in coronary arterial smooth muscle cells (VSMCs). Results: VNS has been shown to stimulate VEGF-A and VEGF-B expressions in coronary arterial smooth muscle cells (VSMCs) and endothelial cells (ECs) with an increase of α-SMA- and CD31-postive vessel number in infarcted hearts. The VNS-induced VEGF-A/B expressions and angiogenesis were abolished by m-AChR inhibitor atropine and α7-nAChR blocker mecamylamine in vivo. Interestingly, knockdown of VEGF-A by shRNA mainly reduced VNS-mediated formation of CD31+ microvessels. In contrast, knockdown of VEGF-B powerfully abrogated VNS-induced formation of α-SMA+ vessels. Consistently, VNS-induced VEGF-A showed a greater effect on EC tube formation as compared to VNS-induced VEGF-B. Moreover, VEGF-A promoted EC proliferation and VSMC migration while VEGF-B induced VSMC proliferation and EC migration in vitro. Mechanistically, vagal neurotransmitter acetylcholine stimulated VEGF-A/B expressions through m/nACh-R/PI3K/Akt/Sp1 pathway in EC. Functionally, VNS improved the coronary function and left ventricular performance. However, blockade of VEGF receptor by antagonist AMG706 or knockdown of VEGF-A or VEGF-B by shRNA significantly diminished the beneficial effects of VNS on ventricular performance. Conclusion: VNS promoted angiogenesis/arteriogenesis to repair the infracted heart through the synergistic effects of VEGF-A and VEGF-B.
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Liu, 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.

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In Network Function Virtualization, the resource demand of the network service evolves with the change of network traffic. VNF dynamic migration has become an effective method to improve network performance. However, for the time-varying resource demand, how to minimize the long-term energy consumption of the network while guaranteeing the Service Level Agreement (SLA) is the key issue that lacks previous research. To tackle this dilemma, this paper proposes an energy-efficient reconfiguration algorithm for VNF based on short-term resource requirement prediction (RP-EDM). Our algorithm uses LSTM to predict VNF resource requirements in advance to eliminate the lag of dynamic migration and determines the timing of migration. RP-EDM eliminates SLA violations by performing VNF separation on potentially overloaded servers and consolidates low-load servers timely to save energy. Meanwhile, we consider the power consumption of servers when booting up, which is existing objectively, to avoid switching on/off the server frequently. The simulation results suggest that RP-EDM has a good performance and stability under machine learning models with different accuracy. Moreover, our algorithm increases the total service traffic by about 15% while ensuring a low SLA interruption rate. The total energy cost is reduced by more than 20% compared with the existing algorithms.
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Zhou, 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.

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Valdes-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.

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Abstract Cytokine production and immune cell migration are under the control of the nervous system. Electrical stimulation of the vagus nerve attenuates cytokine production in endotoxemia, and down-modulates neutrophil migration in animal models of inflammation. The effect of vagus nerve stimulation (VNS) on PBMC phenotypes has not been characterized. We performed VNS or sham surgery in mice (n=5 group) and 24 hours later collected blood for analysis by flow cytometry. The total number of CD11b+ expressing cells was not affected, but CD11b+/Ly-6C+ monocytes significantly decreased in frequency (0.5% vs. 3.2%; p=0.005). VNS decreased dendritic cell numbers defined as CD11b+, CD11c+ (0.4% vs. 1.8%; p=0.042), or CD11c+, F4/80+ (1.6% vs. 2.7%; p=0.025). VNS did not affect the total number of circulating T cells (CD3+). VNS did not affect CD11b+ or Ly-6Clow, which are known to be VEGF-producing and anti-inflammatory. The present results indicate that VNS reduced the proportion of circulating pro-inflammatory monocytes and dendritic cells, and decreased the expression of monocytic lineage cells, in particular those expressed by M1 monocytes which are known to secrete TNF, Il-6, IL-12 (and reduced amounts of IL-10). Together, this indicates that direct activation of a neural circuit can down-modulate inflammatory cell phenotypes in blood, producing an anti-inflammatory cellular milieu.
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Yi, 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.

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Qu, 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.

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Yi, 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.

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Karapetjana, 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.

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In the 21st century, globalization and massive migration have increased the global demand for effective transnational communication skills in English in the health care workplace and academic contexts, including dentistry. English for Dentistry falls under the umbrella of English for Specific Purposes (ESP): this refers to teaching and learning English as a foreign language in a particular domain. While the role of grammar acquisition in ESP courses is often understated in the key theoretical literature on ESP, this article highlights the importance of lexicogrammatical knowledge. Dentistry students and practitioners in Latvia highly value the accuracy in communication since the knowledge of various syntactic and morphological rules of grammar and their use in the dentistry-related context contribute to the accuracy required in the performance of different communicative tasks, for instance, asking for, explaining, and providing information, giving instructions. Besides, if dentists are unable, for example, to explain a diagnosis, agree on treatment options with the patient in a meaningfully accurate way, the dentist’s authority may be undermined, resulting in unsuccessful communication. The case study reports on the tasks employing lexicogrammatical strategies in the material “Dentistry and Language Integrated Learning”, which has been developed by the authors of this article working in close collaboration with individual academic staff at the the Faculty of Medicine of the University of Latvia. The material piloted amongst both dentistry practitioners and students suggests that the applied strategies of morphological derivation, for instance, recognizing and building new words by gaining control of affixation devices, can be considered as useful tools in the new lexeme meaning-making process in dentistry. As a result, this study has attempted to support the assumption that ESP and content and language integrated learning (or CLIL) are compatible and can be efficiently mastered in the professional discourse development process.
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Dissertations / Theses on the topic "Migration des VNFs"

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Biallach, Hanane. "Optimization of VNF reconfiguration problem for 5G network slicing." Electronic Thesis or Diss., Compiègne, 2022. http://www.theses.fr/2022COMP2707.

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Ces dernières années, en raison de la croissance sans précédent du nombre d'appareils connectés et de données mobiles, et des développements continus des technologies pour répondre à cette énorme demande de données, le réseau de cinquième génération (5G) a émergé. La future architecture 5G sera essentiellement basée sur le Network Slicing (NS), qui permet de fournir une approche flexible pour réaliser la vision 5G. Grâce au concept émergent de virtualisation des fonctions réseau (NFV), les fonctions réseau sont découplées des matériels physiques dédiés et réalisées sous forme de logiciel. Cela offre plus de flexibilité et d'agilité dans les opérations commerciales. Malgré les avantages qu'il apporte, NFV soulève quelques défis techniques, le problème de reconfiguration étant l'un d'entre eux. Ce problème, qui est NP-difficile, consiste à réaffecter les fonctions de réseau virtuel (VNFs) pour s'adapter aux changements du réseau, en transformant l'état courant des services déployés, on peut illustrer cela par la migration des machines virtuelles (VM) qui hébergent les VNF, à un autre état qui répond aux objectives des opérateurs. Cette thèse de doctorat étudie comment reconfigurer les VNFs en les migrant vers un état optimal qui pourrait être calculé en avance ou inconnu. Dans cette thèse, nous avons étudié les deux cas en minimisant la durée d'interruption de service et la durée de migration des VNFs. Nous avons proposé des méthodes exactes et approchées. Parmi les méthodes exactes, nous citons deux modèles PLNE. Nous avons également proposé deux approches heuristiques, l'une basée sur la génération de colonnes et la deuxième utilisant la notion de “feedback arc set". L'objectif global de ce travail est donc de définir et d'étudier le problème de reconfiguration des VNFs dans le contexte du 5G network slicing, et de proposer des modèles mathématiques et des algorithmes efficaces pour résoudre les problèmes d'optimisation sous-jacents
In 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
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Cho, Daewoong. "Network Function Virtualization (NFV) Resource Management For Low Network Latency." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17256.

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NFV is an emerging network architecture to increase flexibility and agility within operator's networks by placing virtualized services on demand in Cloud data centers (CDCs). One of the main challenges for the NFV environment is how to efficiently allocate Virtual Network Functions (VNFs) to Virtual Machines (VMs) and how to minimize network latency in the rapidly changing network environments. Although a significant amount of work/research has been already conducted for the generic VNF placement problem and VM migration for efficient resource management in CDCs, network latency among various network components and VNF migration problem have not been comprehensively considered yet to the best of our knowledge. Firstly, to address VNF placement problem, we design a more comprehensive model based on real measurements to capture network latency among VNFs with more granularity to optimize placement of VNFs in CDCs. We consider resource demand of VNFs, resource capacity of VMs and network latency among various network components. Our objectives are to minimize both network latency and lead time (the time to find a VM to host a VNF). Experimental results are promising and indicate that our approach, namely VNF Low-Latency Placement (VNF-LLP), can reduce network latency by up to 64.24% compared with two generic algorithms. Furthermore, it has a lower lead time as compared with the VNF Best-Fit Placement algorithm. Secondly, to address VNF migration problem, we i) formulate the VNF migration problem and ii) develop a novel VNF migration algorithm called VNF Real-time Migration (VNF-RM) for lower network latency in dynamically changing resource availability. As a result of experiments, the effectiveness of our algorithm is demonstrated by reducing network latency by up to 59.45% after latency-aware VNF migrations.
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Book chapters on the topic "Migration des VNFs"

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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.

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Conference papers on the topic "Migration des VNFs"

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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.

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Sugisono, 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.

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Aidi, 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.

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Zhang, 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.

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Vu, 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.

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Sarrigiannis, 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.

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Zhang, 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.

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Ibrahimpasic, 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.

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Cho, 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.

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Mingshi, 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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