Literatura académica sobre el tema "Slice Orchestration"
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Artículos de revistas sobre el tema "Slice Orchestration"
Srinivasan, Thiruvenkadam, Sujitha Venkatapathy, Han-Gue Jo y In-Ho Ra. "VNF-Enabled 5G Network Orchestration Framework for Slice Creation, Isolation and Management". Journal of Sensor and Actuator Networks 12, n.º 5 (13 de septiembre de 2023): 65. http://dx.doi.org/10.3390/jsan12050065.
Texto completoDireito, Rafael, Daniel Gomes, João Alegria, Daniel Corujo y Diogo Gomes. "NetOr: A Microservice Oriented Inter-Domain Vertical Service Orchestrator for 5G Networks". Journal of Internet Services and Applications 14, n.º 1 (12 de septiembre de 2023): 136–50. http://dx.doi.org/10.5753/jisa.2023.3207.
Texto completoBarbosa, Raul, João Fonseca, Marco Araújo y Daniel Corujo. "Vinia: Voice-enabled intent-based networking for industrial automation". Computer Science and Information Systems, n.º 00 (2024): 2. http://dx.doi.org/10.2298/csis230213002b.
Texto completoChang, Chia-Yu, Navid Nikaein, Osama Arouk, Kostas Katsalis, Adlen Ksentini, Thierry Turletti y Konstantinos Samdanis. "Slice Orchestration for Multi-Service Disaggregated Ultra-Dense RANs". IEEE Communications Magazine 56, n.º 8 (agosto de 2018): 70–77. http://dx.doi.org/10.1109/mcom.2018.1701044.
Texto completoChen, Xianfu, Zhifeng Zhao, Celimuge Wu, Mehdi Bennis, Hang Liu, Yusheng Ji y Honggang Zhang. "Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach". IEEE Journal on Selected Areas in Communications 37, n.º 10 (octubre de 2019): 2377–92. http://dx.doi.org/10.1109/jsac.2019.2933893.
Texto completoFernandez, Vidal y Valera. "Enabling the Orchestration of IoT Slices through Edge and Cloud Microservice Platforms". Sensors 19, n.º 13 (5 de julio de 2019): 2980. http://dx.doi.org/10.3390/s19132980.
Texto completoDandachi, Ghina, Antonio De Domenico, Dinh Thai Hoang y Dusit Niyato. "An Artificial Intelligence Framework for Slice Deployment and Orchestration in 5G Networks". IEEE Transactions on Cognitive Communications and Networking 6, n.º 2 (junio de 2020): 858–71. http://dx.doi.org/10.1109/tccn.2019.2952882.
Texto completoTam, Prohim, Seyha Ros, Inseok Song y Seokhoon Kim. "QoS-Driven Slicing Management for Vehicular Communications". Electronics 13, n.º 2 (10 de enero de 2024): 314. http://dx.doi.org/10.3390/electronics13020314.
Texto completoShariat, 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 de febrero de 2019): 1–19. http://dx.doi.org/10.1155/2019/5264012.
Texto completoWichary, Tomasz, Jordi Mongay Batalla, Constandinos X. Mavromoustakis, Jerzy Żurek y George Mastorakis. "Network Slicing Security Controls and Assurance for Verticals". Electronics 11, n.º 2 (11 de enero de 2022): 222. http://dx.doi.org/10.3390/electronics11020222.
Texto completoTesis sobre el tema "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.
Texto completoNetwork 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.
Texto completoThis 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.
Texto completoMobile 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.
Texto completoFonseca, João Pedro Celestino da. "5G interdomain orchestration mechanisms for flexible vertical services deployment". Master's thesis, 2021. http://hdl.handle.net/10773/32336.
Texto completoOs 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
Capítulos de libros sobre el tema "Slice Orchestration"
Bernini, G., P. Piscione y E. Seder. "AI-driven Service and Slice Orchestration". En Shaping the Future of IoT with Edge Intelligence, 15–36. New York: River Publishers, 2023. http://dx.doi.org/10.1201/9781032632407-3.
Texto completoMin, Jie, Ying Wang y Peng Yu. "An Intent-Based Network Slice Orchestration Method". En Advances in Intelligent Systems and Computing, 1447–55. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8462-6_165.
Texto completoMoreira, Rodrigo, Pedro Frosi Rosa, Rui Luis Andrade Aguiar y Flávio de Oliveira Silva. "Enabling Multi-domain and End-to-End Slice Orchestration for Virtualization Everything Functions (VxFs)". En Advanced Information Networking and Applications, 830–44. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44041-1_73.
Texto completoGuan, Wanqing y Haijun Zhang. "Intelligent Deployment and Orchestration of E2E Slices". En 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.
Texto completoVolkmar, Karl F. "The Temporal Character of Catherine Schieve’s Slide Opera". En 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.
Texto completoToosi, Adel Nadjaran, Redowan Mahmud, Qinghua Chi y Rajkumar Buyya. "Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds". En Fog and Edge Computing, 79–101. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119525080.ch4.
Texto completoBlanco, Bego, Rubén Solozabal, Aitor Sanchoyerto, Javier López-Cuadrado, Elisa Jimeno y Miguel Catalan-Cid. "Intelligent Orchestration of End-to-End Network Slices for the Allocation of Mission Critical Services over NFV Architectures". En 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.
Texto completoBojkovic, Zoran, Bojan Bakmaz y Miodrag Bakmaz. "Principles and Enabling Technologies of 5G Network Slicing". En 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.
Texto completoLanka, Divya y Selvaradjou Kandasamy. "An Unsupervised Traffic Modelling Framework in IoV Using Orchestration of Road Slicing". En 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.
Texto completoDebeau, Eric y Veronica Quintuna-Rodriguez. "ONAP". En 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.
Texto completoActas de conferencias sobre el tema "Slice Orchestration"
Arora, Sagar, Adlen Ksentini y Christian Bonnet. "Lightweight edge Slice Orchestration Framework". En ICC 2022 - IEEE International Conference on Communications. IEEE, 2022. http://dx.doi.org/10.1109/icc45855.2022.9838854.
Texto completoSciancalepore, Vincenzo, Flavio Cirillo y Xavier Costa-Perez. "Slice as a Service (SlaaS) Optimal IoT Slice Resources Orchestration". En GLOBECOM 2017 - 2017 IEEE Global Communications Conference. IEEE, 2017. http://dx.doi.org/10.1109/glocom.2017.8254529.
Texto completoHoang, Dinh Thai, Dusit Niyato, Ping Wang, Antonio De Domenico y Emilio Calvanese Strinati. "Optimal Cross Slice Orchestration for 5G Mobile Services". En 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). IEEE, 2018. http://dx.doi.org/10.1109/vtcfall.2018.8690608.
Texto completoPapadakis-Vlachopapadopoulos, Konstantinos, Ioannis Dimolitsas, Dimitrios Dechouniotis, Eirini Eleni Tsiropoulou, Ioanna Roussaki y Symeon Papavassiliou. "Blockchain-Based Slice Orchestration for Enabling Cross-Slice Communication at the Network Edge". En 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.
Texto completoSchmidt, Robert y Navid Nikaein. "Demo: Efficient Multi-Service RAN Slice Management and Orchestration". En NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2020. http://dx.doi.org/10.1109/noms47738.2020.9110253.
Texto completoSailada, Srikanth, Vineeth Aitipamula, Suresh V y Anil Kumar Gupta. "Intelligent RAN Slicing Orchestration Framework For Healthcare Application in 5G". En Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001005.
Texto completoKim, Serae, Sunghyun Jin, Junseon Kim y Kyunghan Lee. "Towards Enabling Performance-Guaranteed Slice Management and Orchestration in 6G". En 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.
Texto completoContreras, L. M., L. Luque, G. Landi, G. Bernini, G. Carrozzo, J. Garcia-Reinoso y M. Molla Rosello. "Interworking of Softwarized Infrastructures for Enabling 5G Multi-Site Slice Orchestration". En 2019 IEEE Conference on Network Softwarization (NetSoft). IEEE, 2019. http://dx.doi.org/10.1109/netsoft.2019.8806656.
Texto completoBaba, Hiroki, Shiku Hirai, Takayuki Nakamura, Sho Kanemaru, Kensuke Takahashi, Taisuke Omoto, Shinsaku Akiyama y Senri Hirabaru. "End-to-end 5G network slice resource management and orchestration architecture". En 2022 IEEE 8th International Conference on Network Softwarization (NetSoft). IEEE, 2022. http://dx.doi.org/10.1109/netsoft54395.2022.9844088.
Texto completoMpatziakas, Asterios, Stavros Papadopoulos, Anastasios Drosou y Dimitrios Tzovaras. "Multi-objective Optimisation for Slice-aware Resource Orchestration in 5G Networks". En 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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