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Статті в журналах з теми "Virtual networks and slicing":
Gomes, Rayner, Dario Vieira, and Miguel Franklin de Castro. "Application of Meta-Heuristics in 5G Network Slicing: A Systematic Review of the Literature." Sensors 22, no. 18 (September 6, 2022): 6724. http://dx.doi.org/10.3390/s22186724.
Lorincz, Josip, Amar Kukuruzović, and Zoran Blažević. "A Comprehensive Overview of Network Slicing for Improving the Energy Efficiency of Fifth-Generation Networks." Sensors 24, no. 10 (May 20, 2024): 3242. http://dx.doi.org/10.3390/s24103242.
Guijarro, Luis, Jose Vidal, and Vicent Pla. "Competition in Service Provision between Slice Operators in 5G Networks." Electronics 7, no. 11 (November 12, 2018): 315. http://dx.doi.org/10.3390/electronics7110315.
Murakami, Masaya, Daichi Kominami, Kenji Leibnitz, and Masayuki Murata. "Reliable Design for a Network of Networks with Inspiration from Brain Functional Networks." Applied Sciences 9, no. 18 (September 11, 2019): 3809. http://dx.doi.org/10.3390/app9183809.
Richart, Matias, Javier Baliosian, Joan Serrat, and Juan-Luis Gorricho. "Resource Slicing in Virtual Wireless Networks: A Survey." IEEE Transactions on Network and Service Management 13, no. 3 (September 2016): 462–76. http://dx.doi.org/10.1109/tnsm.2016.2597295.
Jia, Qingmin, RenChao Xie, Tao Huang, Jiang Liu, and Yunjie Liu. "Caching Resource Sharing for Network Slicing in 5G Core Network." Journal of Organizational and End User Computing 31, no. 4 (October 2019): 1–18. http://dx.doi.org/10.4018/joeuc.2019100101.
Delgado, Carmen, Maria Canales, Jorge Ortin, Jose Ramon Gallego, Alessandro Redondi, Sonda Bousnina, and Matteo Cesana. "Joint Application Admission Control and Network Slicing in Virtual Sensor Networks." IEEE Internet of Things Journal 5, no. 1 (February 2018): 28–43. http://dx.doi.org/10.1109/jiot.2017.2769446.
Kim, Yohan, Sunyong Kim, and Hyuk Lim. "Reinforcement Learning Based Resource Management for Network Slicing." Applied Sciences 9, no. 11 (June 9, 2019): 2361. http://dx.doi.org/10.3390/app9112361.
Makhija, Deven. "5G Communication Systems: Network Slicing and Virtual Private Network Architecture." ITM Web of Conferences 54 (2023): 02001. http://dx.doi.org/10.1051/itmconf/20235402001.
Gao, Shujuan, Ruyan Lin, Yulong Fu, Hui Li, and Jin Cao. "Security Threats, Requirements and Recommendations on Creating 5G Network Slicing System: A Survey." Electronics 13, no. 10 (May 10, 2024): 1860. http://dx.doi.org/10.3390/electronics13101860.
Дисертації з теми "Virtual networks and slicing":
Luu, Quang Trung. "Dynamic Control and Optimization of Wireless Virtual Networks." Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG039.
Network slicing is a key enabler for 5G networks. With network slicing, Mobile Network Operators (MNO) create various slices for Service Providers (SP) to accommodate customized services. As network slices are operated on a common network infrastructure owned by some Infrastructure Provider (InP), efficiently sharing the resources across various slices is very important. In this thesis, taking the InP perspective, we propose several methods for provisioning resources for network slices. Previous best-effort approaches deploy the various Service Function Chains (SFCs) of a given slice sequentially in the infrastructure network. In this thesis, we provision aggregate resources to accommodate slice demands. Once provisioning is successful, the SFCs of the slice are ensured to get enough resources to be properly operated. This facilitates the satisfaction of the slice quality of service requirements. The proposed provisioning solutions also yield a reduction of the computational resources needed to deploy the SFCs
Elkael, Maxime. "Reinforcement learning and optimization for energy efficient 5G slicing with Quality of Service guarantees." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAS015.
This thesis addresses resource allocation problems in 5G networks. Our objective is to leverage network slicing (e.g. the set of techniques based on virtualization and network softwarization which allows the network operator to provide different amounts of resources to different tenants) in order to to improve the energy-efficiency and resource consumption of 5G networks, while guaranteeing Quality of Service constraints. To do so, we formulate and solve optimization problems at the different domains of the network: We are first concerned with the placement of slices in the core network. To solve the problem, a new approach combining Monte Carlo Search and Neighborhood Search is formulated. We show it accepts more core slices than state-of-the-art approaches for the core network placement problem. Then we shift the focus to energy efficiency in resource allocation in 5G networks shared between Physical Network Operators (PNOs) and Mobile Virtual Network Operators (MVNOs). This framework jointly considers software component placement, user request routing, and resource dimensioning while meeting Service Level Agreements (SLAs) based on latency and reliability constraints. Through Column Generation, we obtain exact solutions, demonstrating energy savings of up to 50% in real networks compared to existing placement or resource minimization algorithms. Finally, we delve into the realm of energy optimization in Integrated Access and Backhaul (IAB) networks, a key component of dense 5G deployments. Leveraging the Open Radio Access Network (O-RAN) framework, our model minimizes active IAB nodes while ensuring a minimum capacity for User Equipment (UE). Formulated as a binary nonlinear program, this approach reduces RAN energy consumption by 47%, while maintaining Quality-Of-Service for UEs. Overall, this thesis provides novel algorithms for improving resource and energy efficiency of 5G network slicing. Such improvement is studied in different parts of the network, from the core up to the access network
Dawaliby, Samir. "Machine-to-Machine (M2M) Communications in Next Generation Networks : Spectrum management and energy efficiency." Thesis, Poitiers, 2019. http://www.theses.fr/2019POIT2280.
This thesis deals with the problem of guaranteeing heterogeneous quality of service (QoS) requirements for Internet of Things (IoT) communications in terms of urgency and reliability. Various solutions are proposed towards achieving this goal in LoRa Wide Area Networks (LoRaWAN). First, we implement network slicing over LoRa standard architecture and evaluate its impact using various static and dynamic strategies. Simulation Results performed over NS3 proved the efficiency of network slicing in isolating physical resources for each slice and serving delay critical communications. Motivated by these results, a slice-based optimization is proposed next to improve the dynamic slicing strategy by investigating more LoRa parameters at the physical layer. The proposed method finds for each device the best parameters configuration that potentially improves the performance of its slice in terms of QoS, reliability and energy efficiency. Moreover, we also looked towards meeting upcoming challenges in future IoT networks that comes from the increasing number of IoT devices. Even with network slicing, LoRa scalability remained as a big challenge that should be carefully considered especially due to the lack of flexibility in managing current wireless networks. Therefore, to meet the global objective in guaranteeing QoS in large scale IoT deployments, software defined networking (SDN) and network slicing are adopted as backbone technologies for a distributed virtualized architecture and slicing strategy. The latter proposition is based on game theory and adapts faster to the changes in a congested IoT environment by leveraging slicing decision making closer to the edge
Nerini, Matteo. "Network Slicing for IEEE 802.11 Wireless Networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21149/.
Bakri, Sihem. "Towards enforcing network slicing in 5G networks." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS067.
The current architecture “one size fits all” of 4G network cannot support the next-generation 5G heterogeneous services criteria. Therefore, research around 5G aims to provide more adequate architectures and mechanisms to deal with this purpose. The 5G architecture is envisioned to accommodate the diverse and conflicting demands of services in terms of latency, bandwidth, and reliability, which cannot be sustained by the same network infrastructure. In this context, network slicing provided by network virtualization allows the infrastructure to be divided into different slices. Each slice is tailored to meet specific service requirements allowing different services (such as automotive, Internet of Things, etc.) to be provided by different network slice instances. Each of these instances consists of a set of virtual network functions that run on the same infrastructure with specially adapted orchestration. Three main service classes of network slicing have been defined by the researchers as follows: Enhanced Mobile Broadband (eMBB), massive Machine Type Communication (mMTC), and ultra-Reliable and Low-Latency Communication (uRLLC). One of the main challenges when it comes to deploying Network Slices is slicing the Radio Access Network (RAN). Indeed, managing RAN resources and sharing them among Network Slices is an increasingly difficult task, which needs to be properly designed. This thesis proposes solutions that aim to improve network performance, and introduce flexibility and greater utilization of network resources by accurately and dynamically provisioning the activated network slices with the appropriate amounts of resources to meet their diverse requirements
Biallach, Hanane. "Optimization of VNF reconfiguration problem for 5G network slicing." Electronic Thesis or Diss., Compiègne, 2022. http://www.theses.fr/2022COMP2707.
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
Sun, Shaobo. "Applications of spectrum slicing in optical access networks." Thesis, University of Warwick, 2010. http://wrap.warwick.ac.uk/34617/.
Schmidt, Robert. "Slicing in heterogeneous software-defined radio access networks." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS525.
5G networks are envisioned to be a paradigm shift towards service-oriented networks. In this thesis, we investigate how to efficiently combine slicing and SD-RAN to provide the required level of flexibility and programmability in the RAN infrastructure to realize service-oriented multi-tenant networks. First, we devise an abstraction of a base station to represent logical base stations and describe a virtualized network service. Second, we propose a novel standard-compliant SD-RAN platform, named FlexRIC, in the form of a software development kit (SDK). Third, we provide a modular design for a slice-aware MAC scheduling framework to efficiently manage and control the radio resources in a multi-service environment with quality-of-service (QoS) support. Finally, we present a dynamic SD-RAN virtualization layer based on the FlexRIC SDK and MAC scheduling framework to flexibly compose a multi-service SD-RAN infrastructure and provide programmability for multiple SD-RAN controllers
MOREIRA, André Luis Cavalcanti. "An adaptable storage slicing algorithm for content delivery networks." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/17331.
Made available in DSpace on 2016-07-12T12:20:38Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Thesis - André Luis Cavalcanti Moreira.pdf: 3666881 bytes, checksum: 956e0e6be2bd9f076c0d30eea9d3ea25 (MD5) Previous issue date: 2015-08-28
Several works study the performance of Content Delivery Networks (CDNs) under various network infrastructure and demand conditions. Many strategies have been proposed to deal with aspects inherent to the CDN distribution model. Though mostly very effective, a traditional CDN approach of statically positioned elements often fails to meet quality of experience (QoE) requirements when network conditions suddenly change. CDN adaptation is a key feature in this process and some studies go even further and try to also deal with demand elasticity by providing an elastic infrastructure (cloud computing) to such CDNs. Each Content Provider (CP) gets served only the amount of storage space and network throughput that it needs and pays only for what has been used. Some IaaS providers offer simple CDN services on top of their infrastructure. However, in general, there is a lack of PaaS tools to create rapidly a CDN. There is no standard or open source software able to deliver CDN as a service for each tenant through well-known managers. A PaaS CDN should be able to implement content delivery service in a cloud environment, provision and orchestrate each tenant, monitor usage and make decisions on planning and dimensioning of resources. This work introduces a framework for the allocation of resources of a CDN in a multi-tenant environment. The framework is able to provision and orchestrate multi-tenant virtual CDNs and can be seen as a step towards a PaaS CDN. A simple dot product based module for network change detection is presented and a more elaborate multi-tenant resource manager model is defined. We solve the resulting ILP problem using both branch and bound as well as an efficient cache slicing algorithm that employs a three phase heuristic for orchestration of multi-tenant virtual CDNs. We finally show that a distributed algorithm with limited local information may be also offer reasonable resource allocation while using limited coordination among the different nodes. A self-organization behavior emerges when some of the nodes reach consensus.
Vários trabalhos estudam o desempenho de Redes de Distribuição de Conteúdo (CDN) em diferentes condições e demanda e de infraestrutura. Muitas estratégias têm sido propostas para lidar com aspectos inerentes ao modelo de distribuição de CDN. Embora essas técnicas sejam bastante eficazes, uma abordagem tradicional de elementos estaticamente posicionados numa CDN muitas vezes não consegue atender os requisitos de qualidade de experiência (QoE) quando as condições da rede mudam repentinamente. Adaptação CDN é uma característica fundamental neste processo e alguns estudos vão ainda mais longe e tentam lidar com a elasticidade da demanda, proporcionando uma infraestrutura elástica (computação em nuvem) para a CDN. Cada provedor de conteúdo obtém apenas a quantidade de armazenamento e de rede necessários, pagando apenas pelo efetivo uso. Alguns provedores IaaS oferecem serviços de CDN sobre suas estruturas. No entanto, em geral, não existe padrão ou softwares de código aberto capazes de entregar serviços de CDN por meio de gerenciadores. Uma CDN PaaS deve ser capaz de fornecer um serviço de entrega de conteúdo em um ambiente de nuvem, provisionar e orquestrar cada tenant, monitorar uso e tomar decisões de planejamento e dimensionamento de recursos. Este trabalho apresenta um framework para alocação de recursos de uma CDN em ambiente multi-tenant. O framework é capaz de provisionar e orquestrar CDNs virtuais e pode ser visto como um passo em direção a uma PaaS CDN. Um módulo baseado em simples produto escalar para detecção de mudanças na rede é apresentado, bem como um modelo mais elaborado de gerenciamento de recursos. Resolvemos o problema ILP resultante dessa abordagem por meio de um algoritmo de divisão de cache que emprega uma heurística em três fases para a orquestração de CDN virtuais. Por fim, mostramos uma outra abordagem com algoritmo distribuído que usa informação local e que também oferece uma alocação razoável usando coordenação limitada entre os diferentes nós. Um comportamento de auto-organização surge quando alguns desses nós chegam a um consenso.
Suárez, Trujillo Luis Carlos. "Securing network slices in 5th generation mobile networks." Thesis, Brest, 2020. http://www.theses.fr/2020BRES0050.
Network slicing is a cornerstone in the conception and deployment of enriched communication services for the new use cases envisioned and supported by the new 5G architecture.This document makes emphasis on the challenge of the network slicing isolation and security management according to policy. First, a novel access control model was created, that secures the interactions between network functions that reside inside the 5G system. Then, the management of the interactions between network slices was addressed. We coin the concept of network slice chains, which are conceived after security constraint validation according to policy. Lastly, a method to quantify isolation was developed, permitting to find out how well isolated a communication service is, which is offered via network slices. This enables network operators and customers to measure the isolation level and improve the configuration of the network slices so the isolation level can be enhanced. These components establish a solid framework that contributes to secure, vertically, the communication services of a 5G network and assess how secure they are with respect to their interactions and isolation
Книги з теми "Virtual networks and slicing":
Duarte, Otto Carlos M. B., and Guy Pujolle, eds. Virtual Networks. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118576946.
Kazmi, S. M. Ahsan, Latif U. Khan, Nguyen H. Tran, and Choong Seon Hong. Network Slicing for 5G and Beyond Networks. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16170-5.
Panteli, Niki, ed. Virtual Social Networks. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230250888.
Bates, Regis J. Virtual private networks. New York: McGraw-Hill, 2000.
Scott, Charlie. Virtual Private Networks. 2nd ed. Beijing [China]: O'Reilly, 1999.
Scott, Charlie. Virtual Private Networks. Sebastopol, CA: O'Reilly, 1998.
Provos, Niels. Virtual honeypots. Upper Saddle River, NJ: Addison-Wesley, 2007.
Camarinha-Matos, Luis M., ed. Virtual Enterprises and Collaborative Networks. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/b98980.
Briere, Daniel D. Virtual networks: A buyer's guide. Norwood, MA: Artech House, 1990.
Merkow, Mark S. Virtual private networks for dummies. Foster City, CA: IDG Books Worldwide, 1999.
Частини книг з теми "Virtual networks and slicing":
Ageev, Kirill, Armen Garibyan, Anastasia Golskaya, Yuliya Gaidamaka, Eduard Sopin, Konstantin Samouylov, and Luis M. Correia. "Modelling of Virtual Radio Resources Slicing in 5G Networks." In Information Technologies and Mathematical Modelling. Queueing Theory and Applications, 150–61. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33388-1_13.
Lu, Jiangang, Jiajia Fu, and Jian Zhang. "Virtual Network Resource Allocation Algorithm Based on Active Detection in Network Slicing." In Proceedings of the 11th International Conference on Computer Engineering and Networks, 1443–52. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6554-7_159.
Challa, Rajesh, Syed M. Raza, Hyunseung Choo, and Siwon Kim. "Capacity Planning for Virtual Resource Management in Network Slicing." In Advances in Intelligent Systems and Computing, 141–52. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19063-7_13.
Zeng, Ying, Yuhang Chen, and Zanhong Wu. "Virtual Network Resource Allocation Algorithm Based on Reliability and Distribution Strategy Under Network Slicing." In Proceedings of the 11th International Conference on Computer Engineering and Networks, 1435–42. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6554-7_158.
Diouf, Mamadou Diallo, and Massa Ndong. "Network Slicing User Association Under Optimal Input Covariance Matrix in Virtual Network MVNO." In Lecture Notes on Data Engineering and Communications Technologies, 352–62. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15191-0_34.
Alparslan, Onur, and Shin’ichi Arakawa. "Fast/Slow-Pathway Bayesian Attractor Model for IoT Networks Based on Software-Defined Networking with Virtual Network Slicing." In Fluctuation-Induced Network Control and Learning, 135–54. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4976-6_6.
Majumdar, Parijata, Diptendu Bhattacharya, and Sanjoy Mitra. "Utilities of 5G Communication Technologies for Promoting Advancement in Agriculture 4.0: Recent Trends, Research Issues and Review of Literature." In 5G and Beyond, 111–25. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3668-7_6.
Huang, Xiaoqi, Guoyi Zhang, Ruya Huang, and Wanshu Huang. "Virtual Network Resource Allocation Algorithm Based on Reliability in Large-Scale 5G Network Slicing Environment." In Advances in Intelligent Systems and Computing, 1590–98. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8462-6_182.
Fan, Huicong, Jianhua Zhao, Hua Shao, Shijia Zhu, and Wenxiao Li. "High-Reliability Virtual Network Resource Allocation Algorithm Based on Service Priority in 5G Network Slicing." In Advances in Intelligent Systems and Computing, 1617–25. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8462-6_185.
Ye, Qiang, and Weihua Zhuang. "Dynamic Resource Slicing for Service Provisioning." In Wireless Networks, 55–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88666-0_3.
Тези доповідей конференцій з теми "Virtual networks and slicing":
Caballero, Pablo, Gustavo de Veciana, Albert Banchs, and Xavier Perez-Costa. "Optimizing Network Slicing via Virtual Resource Pool Partitioning." In 2019 International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOPT). IEEE, 2019. http://dx.doi.org/10.23919/wiopt47501.2019.9144143.
Oliveira, Romerson, Diego Molinos, Marcelo Freitas, Pedro Rosa, and Flavio Silva. "Workspace-based Virtual Networks: A Clean Slate Approach to Slicing Cloud Networks." In 9th International Conference on Cloud Computing and Services Science. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007753104640470.
Sailada, Srikanth, Vineeth Aitipamula, Suresh V, and Anil Kumar Gupta. "Intelligent RAN Slicing Orchestration Framework For Healthcare Application in 5G." In Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001005.
Jiawei Zhang, Yongli Zhao, B. Mukherjee, and Jie Zhang. "Dynamic Virtual Network Embedding Scheme based on Network Element Slicing for Elastic Optical Networks." In 39th European Conference and Exhibition on Optical Communication (ECOC 2013). Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/cp.2013.1323.
Samar, Arihant, and Krishna M. Sivalingam. "RL-based Virtual Network Embedding using VNF Sharing for Network Slicing in 5G Networks." In NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023. http://dx.doi.org/10.1109/noms56928.2023.10154408.
Soliman, Hazem M., and Alberto Leon-Garcia. "QoS-Aware Frequency-Space Network Slicing and Admission Control for Virtual Wireless Networks." In GLOBECOM 2016 - 2016 IEEE Global Communications Conference. IEEE, 2016. http://dx.doi.org/10.1109/glocom.2016.7842187.
Sheena, B. Gracelin, and N. Snehalatha. "An Energy Efficient Network Slicing with Data Aggregation Technique for Wireless Sensor Networks." In 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). IEEE, 2021. http://dx.doi.org/10.1109/icicv50876.2021.9388536.
Beltrami Rocha, Andre Luiz, Matheus Nadaleti, Vinicius Furukawa, Paulo Ditarso Maciel Jr., and Fábio Luciano Verdi. "Uma Proposta de Arquitetura para o Monitoramento Multidomínio de Cloud Network Slices." In I Workshop de Teoria, Tecnologias e Aplicações de Slicing para Infraestruturas Softwarizadas. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/wslice.2019.7721.
Lu, Wei, Hongqiang Fang, and Zuqing Zhu. "AI-assisted resource advertising and pricing to realize distributed tenant-driven virtual network slicing in inter-DC optical networks." In 2018 International Conference on Optical Network Design and Modeling (ONDM). IEEE, 2018. http://dx.doi.org/10.23919/ondm.2018.8396119.
Gomes, Rayner, Dario Vieira, and Miguel Franklin de Castro. "Vertical Parallelization of Differential Evolution Heuristic for Network Slicing in 5G Scenarios." In Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação, 2022. http://dx.doi.org/10.5753/sbrc.2022.222314.
Звіти організацій з теми "Virtual networks and slicing":
Fox, B., and B. Gleeson. Virtual Private Networks Identifier. RFC Editor, September 1999. http://dx.doi.org/10.17487/rfc2685.
Fox, B., and B. Petri. NHRP Support for Virtual Private Networks. RFC Editor, December 1999. http://dx.doi.org/10.17487/rfc2735.
Dolev, Shlomi, Seth Gilbert, Limor Lahiani, Nancy Lynch, and Tina Nolte. Virtual Stationary Automata for Mobile Networks. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada467098.
Rosen, E., and Y. Rekhter. BGP/MPLS IP Virtual Private Networks (VPNs). RFC Editor, February 2006. http://dx.doi.org/10.17487/rfc4364.
Kim, Hyong S. Virtual Path Management for Survivable ATM Networks. Fort Belvoir, VA: Defense Technical Information Center, February 1997. http://dx.doi.org/10.21236/ada323608.
QUALITY RESEARCH INC HUNTSVILLE AL. Situation Awareness Virtual Environment for Networks (SAVENet). Fort Belvoir, VA: Defense Technical Information Center, April 1997. http://dx.doi.org/10.21236/ada325021.
Gleeson, B., A. Lin, J. Heinanen, G. Armitage, and A. Malis. A Framework for IP Based Virtual Private Networks. RFC Editor, February 2000. http://dx.doi.org/10.17487/rfc2764.
Andersson, L., and E. Rosen, eds. Framework for Layer 2 Virtual Private Networks (L2VPNs). RFC Editor, September 2006. http://dx.doi.org/10.17487/rfc4664.
Nagarajan, A., ed. Generic Requirements for Provider Provisioned Virtual Private Networks (PPVPN). RFC Editor, June 2004. http://dx.doi.org/10.17487/rfc3809.
Fang, L., ed. Security Framework for Provider-Provisioned Virtual Private Networks (PPVPNs). RFC Editor, July 2005. http://dx.doi.org/10.17487/rfc4111.