Littérature scientifique sur le sujet « Slice Orchestration »
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Articles de revues sur le sujet "Slice Orchestration"
Srinivasan, Thiruvenkadam, Sujitha Venkatapathy, Han-Gue Jo et In-Ho Ra. « VNF-Enabled 5G Network Orchestration Framework for Slice Creation, Isolation and Management ». Journal of Sensor and Actuator Networks 12, no 5 (13 septembre 2023) : 65. http://dx.doi.org/10.3390/jsan12050065.
Texte intégralDireito, Rafael, Daniel Gomes, João Alegria, Daniel Corujo et Diogo Gomes. « NetOr : A Microservice Oriented Inter-Domain Vertical Service Orchestrator for 5G Networks ». Journal of Internet Services and Applications 14, no 1 (12 septembre 2023) : 136–50. http://dx.doi.org/10.5753/jisa.2023.3207.
Texte intégralBarbosa, Raul, João Fonseca, Marco Araújo et Daniel Corujo. « Vinia : Voice-enabled intent-based networking for industrial automation ». Computer Science and Information Systems, no 00 (2024) : 2. http://dx.doi.org/10.2298/csis230213002b.
Texte intégralChang, Chia-Yu, Navid Nikaein, Osama Arouk, Kostas Katsalis, Adlen Ksentini, Thierry Turletti et Konstantinos Samdanis. « Slice Orchestration for Multi-Service Disaggregated Ultra-Dense RANs ». IEEE Communications Magazine 56, no 8 (août 2018) : 70–77. http://dx.doi.org/10.1109/mcom.2018.1701044.
Texte intégralChen, Xianfu, Zhifeng Zhao, Celimuge Wu, Mehdi Bennis, Hang Liu, Yusheng Ji et Honggang Zhang. « Multi-Tenant Cross-Slice Resource Orchestration : A Deep Reinforcement Learning Approach ». IEEE Journal on Selected Areas in Communications 37, no 10 (octobre 2019) : 2377–92. http://dx.doi.org/10.1109/jsac.2019.2933893.
Texte intégralFernandez, Vidal et Valera. « Enabling the Orchestration of IoT Slices through Edge and Cloud Microservice Platforms ». Sensors 19, no 13 (5 juillet 2019) : 2980. http://dx.doi.org/10.3390/s19132980.
Texte intégralDandachi, Ghina, Antonio De Domenico, Dinh Thai Hoang et Dusit Niyato. « An Artificial Intelligence Framework for Slice Deployment and Orchestration in 5G Networks ». IEEE Transactions on Cognitive Communications and Networking 6, no 2 (juin 2020) : 858–71. http://dx.doi.org/10.1109/tccn.2019.2952882.
Texte intégralTam, Prohim, Seyha Ros, Inseok Song et Seokhoon Kim. « QoS-Driven Slicing Management for Vehicular Communications ». Electronics 13, no 2 (10 janvier 2024) : 314. http://dx.doi.org/10.3390/electronics13020314.
Texte intégralShariat, Mehrdad, Ömer Bulakci, Antonio De Domenico, Christian Mannweiler, Marco Gramaglia, Qing Wei, Aravinthan Gopalasingham et al. « A Flexible Network Architecture for 5G Systems ». Wireless Communications and Mobile Computing 2019 (11 février 2019) : 1–19. http://dx.doi.org/10.1155/2019/5264012.
Texte intégralWichary, Tomasz, Jordi Mongay Batalla, Constandinos X. Mavromoustakis, Jerzy Żurek et George Mastorakis. « Network Slicing Security Controls and Assurance for Verticals ». Electronics 11, no 2 (11 janvier 2022) : 222. http://dx.doi.org/10.3390/electronics11020222.
Texte intégralThèses sur le sujet "Slice Orchestration"
Arora, Sagar. « Cloud Native Network Slice Orchestration in 5G and Beyond ». Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS278.
Texte intégralNetwork Function Virtualization (NFV) is the founding pillar of 5G Service Based Architecture. It has the potential to revolutionize the future mobile communication generations. NFV started long back in 2012 with Virtual-Machine (VM) based Virtual Network Functions (VNFs). The use of VMs raised multiple questions because of the compatibility issues between VM hypervisors and their high resource consumption. This made containers to be an alternative network function packaging technology. The lightweight design of containers improves their instantiation time and resource footprints. Apart from network functions, containerization can be a promising enabler for Multi-access Edge Computing (MEC) applications that provides a home to low-latency demanding services. Edge computing is one of the key technology of the last decade, enabling several emerging services beyond 5G (e.g., autonomous driving, robotic networks, Augmented Reality (AR)) requiring high availability and low latency communications. The resource scarcity at the edge of the network requires technologies that efficiently utilize computational, storage, and networking resources. Containers' low-resource footprints make them suitable for designing MEC applications. Containerization is meant to be used in the framework of cloud-native application design fundamentals, loosely coupled microservices-based architecture, on-demand scalability, and high resilience. The flexibility and agility of containers can certainly benefit 5G Network Slicing that highly relies on NFV and MEC. The concept of Network slicing allows the creation of isolated logical networks on top of the same physical network. A network slice can have dedicated network functions or its network functions can be shared among multiple slices. Indeed, network slice orchestration requires interaction with multiple technological domain orchestrators, access, transport, core network, and edge computing. The paradigm shift of using cloud-native application design principles has created challenges for legacy orchestration systems and the ETSI NFV and MEC standards. They were designed for handling virtual machine-based network functions, restricting them in their approach to managing a cloud-native network function. The thesis examines the existing standards of ETSI NFV, ETSI MEC, and network service/slice orchestrators. Aiming to overcome the challenges around multi-domain cloud-native network slice orchestration. To reach the goal, the thesis first proposes MEC Radio Network Information Service (RNIS) that can provide radio information at the subscriber level in an NFV environment. Second, it provides a Dynamic Resource Allocation and Placement (DRAP) algorithm to place cloud-native network services considering their cost and availability matrix. Third, by combining NFV, MEC, and Network Slicing, the thesis proposes a novel Lightweight edge Slice Orchestration framework to overcome the challenges around edge slice orchestration. Fourth, the proposed framework offers an edge slice deployment template that allows multiple possibilities for designing MEC applications. These possibilities were further studied to understand the impact of the microservice design architecture on application availability and latency. Finally, all this work is combined to propose a novel Cloud-native Lightweight Slice Orchestration (CLiSO) framework extending the previously proposed Lightweight edge Slice Orchestration (LeSO) framework. In addition, the framework offers a technology-agnostic and deployment-oriented network slice template. The framework has been thoroughly evaluated via orchestrating OpenAirInterface container network functions on public and private cloud platforms. The experimental results show that the framework has lower resource footprints than existing orchestrators and takes less time to orchestrate network slices
Doanis, Pavlos. « A Deep Reinforcement Learning Framework for Scalable Slice Orchestration in Beyond 5G Networks ». Electronic Thesis or Diss., Sorbonne université, 2024. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2024SORUS100.pdf.
Texte intégralThis Thesis introduces a flexible Reinforcement Learning queuing-based framework for dynamic slice orchestration in Beyond 5G networks, supporting multiple concurrent slices that span different technological domains and are governed by diverse end-to-end Service Level Agreements. Different (Deep) Reinforcement Learning methods (single or multi-agent) are investigated to address the state and action complexity hurdles arising in such combinatorial problems, which render the use of "vanilla" Reinforcement Learning algorithms impractical. The performance of the proposed schemes is validated through simulations under both synthetic Markovian traffic and real traffic scenarios
Luong, Duc-Hung. « On resource allocation in cloudified mobile network ». Thesis, La Rochelle, 2019. http://www.theses.fr/2019LAROS031.
Texte intégralMobile traffic had been dramatically increasing in recent years along with the evolution toward next generation of mobile network (5G). To face this increasing demands, Network Function Virtualization (NFV), Software Defined Networking (SDN) and Cloud Computing emerged to provide more flexibility and elasticity for mobile networks toward 5G. However, the design of these softwarization technologies for mobile network is not sufficient by itself as and the mobile services also have critical requirements in term of quality of services and user experiences that still need to be full field. Therefore, this thesis focuses on how to apply efficiently softwarization to mobile network services and associate to it flexible resource allocation. The main objective of this thesis is to propose an architecture leveraging virtualization technologies and cloud computing on legacy mobile network architecture. The proposal not only well adopts and provides flexibility as well as high availability to network infrastructure but also satisfies the quality of services requirements of future mobile services. More specifically, we first studied the use of the "cloud-native" approach and "microservices" for the creation of core network components and those of the radio access network (RAN) toward 5G. Then, in order to maintain a target level of quality of services, we dealt with the problem of the automatic scaling of microservices, via a predictive approach that we propose to avoid degradation of services. It is integrated with an autonomous orchestration platform for mobile network services. Finally, we have also proposed and implemented a multi-level scheduler, which allows both to manage the resources allocated for a virtualized mobile network, called "slice", but also and above all to manage the resources allocated to several network instances, deployed within the same physical infrastructure. All these proposals were implemented and evaluated on a realistic test bench
Wang, Chen. « A chemistry-inspired middleware for flexible execution of service based applications ». Phd thesis, INSA de Rennes, 2013. http://tel.archives-ouvertes.fr/tel-00982804.
Texte intégralFonseca, João Pedro Celestino da. « 5G interdomain orchestration mechanisms for flexible vertical services deployment ». Master's thesis, 2021. http://hdl.handle.net/10773/32336.
Texte intégralOs verticais do 5G, estão a começar a ficar habituados à ideia de usar esta tecnologia, no seu dia a dia. Até ao momento, ainda não existem muitos fornecedores de serviços de comunicação a oferecer serviços 5G. No entanto, os existentes andam a avaliar novas áreas de negócio. Um dos temas mais falados do momento, é o conceito de network slicing, associado a redes 5G. Este conceito é bem simples de entender, a ideia é criar uma rede lógica que consegue cobrir a rede Core e RAN particionando a mesma consoante o tipo de serviço desejado. Neste contexto, os fornecedores de serviços de comunicações como os operadores de redes, podem fornecer aos seus clientes serviços de Network Slice as a Service, seguindo as orientações do 3gpp. Isto significa que um cliente pode usar de slices de vários fornecedores. Neste contexto, o trabalho deste documento apresenta soluções para a orquestração de slices de rede em ambiente interdomínio. Além disso, explora soluções para fazer a junção das mesmas, com vista a criar uma única slice de rede. No entanto, esta, usa slices em domínios administrativos diferentes. O conceito de juntar estes recursos de redes particionadas, numa única rede lógica, é chamado neste documento de interdomínio de slices de rede. Após uma revisão das específicações sobre orquestração de slices de rede, propomos várias soluções para juntar difentes slices de rede. Os resultados obtidos até ao momento, atestam a fiabilidade das soluções propostas.
Mestrado em Engenharia de Computadores e Telemática
Chapitres de livres sur le sujet "Slice Orchestration"
Bernini, G., P. Piscione et E. Seder. « AI-driven Service and Slice Orchestration ». Dans Shaping the Future of IoT with Edge Intelligence, 15–36. New York : River Publishers, 2023. http://dx.doi.org/10.1201/9781032632407-3.
Texte intégralMin, Jie, Ying Wang et Peng Yu. « An Intent-Based Network Slice Orchestration Method ». Dans Advances in Intelligent Systems and Computing, 1447–55. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8462-6_165.
Texte intégralMoreira, Rodrigo, Pedro Frosi Rosa, Rui Luis Andrade Aguiar et Flávio de Oliveira Silva. « Enabling Multi-domain and End-to-End Slice Orchestration for Virtualization Everything Functions (VxFs) ». Dans Advanced Information Networking and Applications, 830–44. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44041-1_73.
Texte intégralGuan, Wanqing, et Haijun Zhang. « Intelligent Deployment and Orchestration of E2E Slices ». Dans Network Slicing for Future Wireless Communication, 37–64. Cham : Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-58229-5_3.
Texte intégralVolkmar, Karl F. « The Temporal Character of Catherine Schieve’s Slide Opera ». Dans The Orchestration of the Arts — A Creative Symbiosis of Existential Powers, 391–400. Dordrecht : Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-017-3411-0_29.
Texte intégralToosi, Adel Nadjaran, Redowan Mahmud, Qinghua Chi et Rajkumar Buyya. « Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds ». Dans Fog and Edge Computing, 79–101. Hoboken, NJ, USA : John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119525080.ch4.
Texte intégralBlanco, Bego, Rubén Solozabal, Aitor Sanchoyerto, Javier López-Cuadrado, Elisa Jimeno et Miguel Catalan-Cid. « Intelligent Orchestration of End-to-End Network Slices for the Allocation of Mission Critical Services over NFV Architectures ». Dans Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops, 74–83. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49190-1_7.
Texte intégralBojkovic, Zoran, Bojan Bakmaz et Miodrag Bakmaz. « Principles and Enabling Technologies of 5G Network Slicing ». Dans Paving the Way for 5G Through the Convergence of Wireless Systems, 271–84. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7570-2.ch011.
Texte intégralLanka, Divya, et Selvaradjou Kandasamy. « An Unsupervised Traffic Modelling Framework in IoV Using Orchestration of Road Slicing ». Dans Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things, 201–12. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4991-2.ch010.
Texte intégralDebeau, Eric, et Veronica Quintuna-Rodriguez. « ONAP ». Dans Design Innovation and Network Architecture for the Future Internet, 212–49. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7646-5.ch008.
Texte intégralActes de conférences sur le sujet "Slice Orchestration"
Arora, Sagar, Adlen Ksentini et Christian Bonnet. « Lightweight edge Slice Orchestration Framework ». Dans ICC 2022 - IEEE International Conference on Communications. IEEE, 2022. http://dx.doi.org/10.1109/icc45855.2022.9838854.
Texte intégralSciancalepore, Vincenzo, Flavio Cirillo et Xavier Costa-Perez. « Slice as a Service (SlaaS) Optimal IoT Slice Resources Orchestration ». Dans GLOBECOM 2017 - 2017 IEEE Global Communications Conference. IEEE, 2017. http://dx.doi.org/10.1109/glocom.2017.8254529.
Texte intégralHoang, Dinh Thai, Dusit Niyato, Ping Wang, Antonio De Domenico et Emilio Calvanese Strinati. « Optimal Cross Slice Orchestration for 5G Mobile Services ». Dans 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). IEEE, 2018. http://dx.doi.org/10.1109/vtcfall.2018.8690608.
Texte intégralPapadakis-Vlachopapadopoulos, Konstantinos, Ioannis Dimolitsas, Dimitrios Dechouniotis, Eirini Eleni Tsiropoulou, Ioanna Roussaki et Symeon Papavassiliou. « Blockchain-Based Slice Orchestration for Enabling Cross-Slice Communication at the Network Edge ». Dans 2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2020. http://dx.doi.org/10.1109/qrs-c51114.2020.00033.
Texte intégralSchmidt, Robert, et Navid Nikaein. « Demo : Efficient Multi-Service RAN Slice Management and Orchestration ». Dans NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2020. http://dx.doi.org/10.1109/noms47738.2020.9110253.
Texte intégralSailada, Srikanth, Vineeth Aitipamula, Suresh V et Anil Kumar Gupta. « Intelligent RAN Slicing Orchestration Framework For Healthcare Application in 5G ». Dans Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001005.
Texte intégralKim, Serae, Sunghyun Jin, Junseon Kim et Kyunghan Lee. « Towards Enabling Performance-Guaranteed Slice Management and Orchestration in 6G ». Dans 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). IEEE, 2023. http://dx.doi.org/10.1109/eucnc/6gsummit58263.2023.10188226.
Texte intégralContreras, L. M., L. Luque, G. Landi, G. Bernini, G. Carrozzo, J. Garcia-Reinoso et M. Molla Rosello. « Interworking of Softwarized Infrastructures for Enabling 5G Multi-Site Slice Orchestration ». Dans 2019 IEEE Conference on Network Softwarization (NetSoft). IEEE, 2019. http://dx.doi.org/10.1109/netsoft.2019.8806656.
Texte intégralBaba, Hiroki, Shiku Hirai, Takayuki Nakamura, Sho Kanemaru, Kensuke Takahashi, Taisuke Omoto, Shinsaku Akiyama et Senri Hirabaru. « End-to-end 5G network slice resource management and orchestration architecture ». Dans 2022 IEEE 8th International Conference on Network Softwarization (NetSoft). IEEE, 2022. http://dx.doi.org/10.1109/netsoft54395.2022.9844088.
Texte intégralMpatziakas, Asterios, Stavros Papadopoulos, Anastasios Drosou et Dimitrios Tzovaras. « Multi-objective Optimisation for Slice-aware Resource Orchestration in 5G Networks ». Dans 2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN). IEEE, 2020. http://dx.doi.org/10.1109/icin48450.2020.9059438.
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