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Artykuły w czasopismach na temat "Slice Orchestration"

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Srinivasan, Thiruvenkadam, Sujitha Venkatapathy, Han-Gue Jo i In-Ho Ra. "VNF-Enabled 5G Network Orchestration Framework for Slice Creation, Isolation and Management". Journal of Sensor and Actuator Networks 12, nr 5 (13.09.2023): 65. http://dx.doi.org/10.3390/jsan12050065.

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Network slicing is widely regarded as the most critical technique for allocating network resources to varied user needs in 5G networks. A Software Defined Networking (SDN) and Network Function Virtualization (NFV) are two extensively used strategies for slicing the physical infrastructure according to use cases. The most efficient use of virtual networks is realized by the application of optimal resource allocation algorithms. Numerous research papers on 5G network resource allocation focus on network slicing or on the best resource allocation for the sliced network. This study uses network slicing and optimal resource allocation to achieve performance optimization using requirement-based network slicing. The proposed approach includes three phases: (1) Slice Creation by Machine Learning methods (SCML), (2) Slice Isolation through Resource Allocation (SIRA) of requests via a multi-criteria decision-making approach, and (3) Slice Management through Resource Transfer (SMART). We receive a set of Network Service Requests (NSRs) from users. After receiving the NSRs, the SCML is used to form slices, and SIRA and SMART are used to allocate resources to these slices. Accurately measuring the acceptance ratio and resource efficiency helps to enhance overall performance. The simulation results show that the SMART scheme can dynamically change the resource allocation according to the test conditions. For a range of network situations and Network Service Requests (NSRs), the performance benefit is studied. The findings of the simulation are compared to those of the literature in order to illustrate the usefulness of the proposed work.
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Direito, Rafael, Daniel Gomes, João Alegria, Daniel Corujo i Diogo Gomes. "NetOr: A Microservice Oriented Inter-Domain Vertical Service Orchestrator for 5G Networks". Journal of Internet Services and Applications 14, nr 1 (12.09.2023): 136–50. http://dx.doi.org/10.5753/jisa.2023.3207.

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Most modern 5G Vertical Service Orchestrators present various limitations. Among these, one may high-light (i) the employment of monolithic architectures, (ii) the lack of standardized APIs and methodologies, (iii) the minimum support for inter-domain scenarios, and (iv) the impossibility of performing run-time operations over Vertical Services. To achieve a fully-fledged Vertical Service Orchestrator, these problems must be solved. This is the focus of the work presented in this article. Our work presents a new 5G Vertical Service orchestration system named NetOr, which tackles all the listed limitations and can support complex and intricate use cases. NetOr was implemented according to a microservice architecture. Thus, it has increased flexibility, scalability, and maintainability. Moreover, NetOr inherited most advantages of the modern Vertical Service Orchestrators and, therefore, can be considered an improvement of said orchestrators. Furthermore, this work also presents a Proof-of-Concept solution to achieve inter-domain communication through the orchestration of an End-To-End Network Slice that establishes several VPN tunnels between the domains encompassed by the Network Slice.
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Barbosa, Raul, João Fonseca, Marco Araújo i Daniel Corujo. "Vinia: Voice-enabled intent-based networking for industrial automation". Computer Science and Information Systems, nr 00 (2024): 2. http://dx.doi.org/10.2298/csis230213002b.

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Intent Based Networking (IBN) is a promising approach for automating and managing large and complex networks. Integrating Voice-enabled Virtual Assistants (VVAs) with IBN and Software Defined Networking (SDN) has improved network management efficiency and flexibility. However, there is still room for optimization improvement in installing intents in industrial scenarios. Network Orchestration Automation plays an important role within the Beyond 5G and 6G Networks, considering existing practices for orchestrating 5G Network Functions. This work presents an extended preliminary architecture for a voice-enabled IBN system called VINIA for industrial network automation. The new approach allows the configuration of more network assets (e.g., 5G networks), leveraging Network Orchestrators and Network Slice Managers, thus improving the system?s capabilities. The results provide insights into this solution?s potential benefits and limitations to enhance the automation of industrial networks? management and orchestration procedures.
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Chang, Chia-Yu, Navid Nikaein, Osama Arouk, Kostas Katsalis, Adlen Ksentini, Thierry Turletti i Konstantinos Samdanis. "Slice Orchestration for Multi-Service Disaggregated Ultra-Dense RANs". IEEE Communications Magazine 56, nr 8 (sierpień 2018): 70–77. http://dx.doi.org/10.1109/mcom.2018.1701044.

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Chen, Xianfu, Zhifeng Zhao, Celimuge Wu, Mehdi Bennis, Hang Liu, Yusheng Ji i Honggang Zhang. "Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach". IEEE Journal on Selected Areas in Communications 37, nr 10 (październik 2019): 2377–92. http://dx.doi.org/10.1109/jsac.2019.2933893.

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Fernandez, Vidal i Valera. "Enabling the Orchestration of IoT Slices through Edge and Cloud Microservice Platforms". Sensors 19, nr 13 (5.07.2019): 2980. http://dx.doi.org/10.3390/s19132980.

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This article addresses one of the main challenges related to the practical deployment of Internet of Things (IoT) solutions: the coordinated operation of entities at different infrastructures to support the automated orchestration of end-to-end Internet of Things services. This idea is referred to as “Internet of Things slicing” and is based on the network slicing concept already defined for the Fifth Generation (5G) of mobile networks. In this context, we present the architectural design of a slice orchestrator addressing the aforementioned challenge, based on well-known standard technologies and protocols. The proposed solution is able to integrate existing technologies, like cloud computing, with other more recent technologies like edge computing and network slicing. In addition, a functional prototype of the proposed orchestrator has been implemented, using open-source software and microservice platforms. As a first step to prove the practical feasibility of our solution, the implementation of the orchestrator considers cloud and edge domains. The validation results obtained from the prototype prove the feasibility of the solution from a functional perspective, verifying its capacity to deploy Internet of Things related functions even on resource constrained platforms. This approach enables new application models where these Internet of Things related functions can be onboarded on small unmanned aerial vehicles, offering a flexible and cost-effective solution to deploy these functions at the network edge. In addition, this proposal can also be used on commercial cloud platforms, like the Google Compute Engine, showing that it can take advantage of the benefits of edge and cloud computing respectively.
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Dandachi, Ghina, Antonio De Domenico, Dinh Thai Hoang i Dusit Niyato. "An Artificial Intelligence Framework for Slice Deployment and Orchestration in 5G Networks". IEEE Transactions on Cognitive Communications and Networking 6, nr 2 (czerwiec 2020): 858–71. http://dx.doi.org/10.1109/tccn.2019.2952882.

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Tam, Prohim, Seyha Ros, Inseok Song i Seokhoon Kim. "QoS-Driven Slicing Management for Vehicular Communications". Electronics 13, nr 2 (10.01.2024): 314. http://dx.doi.org/10.3390/electronics13020314.

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Network slicing is introduced for elastically instantiating logical network infrastructure isolation to support different application types with diversified quality of service (QoS) class indicators. In particular, vehicular communications are a trending area that consists of massive mission-critical applications in the range of safety-critical, intelligent transport systems, and on-board infotainment. Slicing management can be achieved if the network infrastructure has computing sufficiency, a dynamic control policy, elastic resource virtualization, and cross-tier orchestration. To support the functionality of slicing management, incorporating core network infrastructure with deep learning and reinforcement learning has become a hot topic for researchers and practitioners in analyzing vehicular traffic/resource patterns before orchestrating the steering policies. In this paper, we propose QoS-driven management by considering (edge) resource block utilization, scheduling, and slice instantiation in a three-tier resource placement, namely, small base stations/access points, macro base stations, and core networks. The proposed scheme integrates recurrent neural networks to trigger hidden states of resource availability and predict the output of QoS. The intelligent agent and slice controller, namely, RDQ3N, gathers the resource states from three-tier observations and optimizes the action on allocation and scheduling algorithms. Experiments are conducted on both physical and virtual representational vehicle-to-everything (V2X) environments; furthermore, service requests are set to massive thresholds for rendering V2X congestion flow entries.
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Shariat, Mehrdad, Ömer Bulakci, Antonio De Domenico, Christian Mannweiler, Marco Gramaglia, Qing Wei, Aravinthan Gopalasingham i in. "A Flexible Network Architecture for 5G Systems". Wireless Communications and Mobile Computing 2019 (11.02.2019): 1–19. http://dx.doi.org/10.1155/2019/5264012.

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In this paper, we define a flexible, adaptable, and programmable architecture for 5G mobile networks, taking into consideration the requirements, KPIs, and the current gaps in the literature, based on three design fundamentals: (i) split of user and control plane, (ii) service-based architecture within the core network (in line with recent industry and standard consensus), and (iii) fully flexible support of E2E slicing via per-domain and cross-domain optimisation, devising inter-slice control and management functions, and refining the behavioural models via experiment-driven optimisation. The proposed architecture model further facilitates the realisation of slices providing specific functionality, such as network resilience, security functions, and network elasticity. The proposed architecture consists of four different layers identified as network layer, controller layer, management and orchestration layer, and service layer. A key contribution of this paper is the definition of the role of each layer, the relationship between layers, and the identification of the required internal modules within each of the layers. In particular, the proposed architecture extends the reference architectures proposed in the Standards Developing Organisations like 3GPP and ETSI, by building on these while addressing several gaps identified within the corresponding baseline models. We additionally present findings, the design guidelines, and evaluation studies on a selected set of key concepts identified to enable flexible cloudification of the protocol stack, adaptive network slicing, and inter-slice control and management.
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Wichary, Tomasz, Jordi Mongay Batalla, Constandinos X. Mavromoustakis, Jerzy Żurek i George Mastorakis. "Network Slicing Security Controls and Assurance for Verticals". Electronics 11, nr 2 (11.01.2022): 222. http://dx.doi.org/10.3390/electronics11020222.

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This paper focuses on the security challenges of network slice implementation in 5G networks. We propose that network slice controllers support security by enabling security controls at different network layers. The slice controller orchestrates multilevel domains with resources at a very high level but needs to understand how to define the resources at lower levels. In this context, the main outstanding security challenge is the compromise of several resources in the presence of an attack due to weak resource isolation at different levels. We analysed the current standards and trends directed to mitigate the vulnerabilities mentioned above, and we propose security controls and classify them by efficiency and applicability (easiness to develop). Security controls are a common way to secure networks, but they enforce security policies only in respective areas. Therefore, the security domains allow for structuring the orchestration principles by considering the necessary security controls to be applied. This approach is common for both vendor-neutral and vendor-dependent security solutions. In our classification, we considered the controls in the following fields: (i) fair resource allocation with dynamic security assurance, (ii) isolation in a multilayer architecture and (iii) response to DDoS attacks without service and security degradation.
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Rozprawy doktorskie na temat "Slice Orchestration"

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Arora, Sagar. "Cloud Native Network Slice Orchestration in 5G and Beyond". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS278.

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La virtualisation des fonctions réseau (NFV) est le pilier fondateur de l'architecture 5G basée sur les services. La NFV a débuté en 2012, avec les fonctions de réseau virtuelles (VNF) basées sur les machines virtuelles (VM). Les conteneurs sont devenus une technologie alternative de conditionnement intéressante pour la virtualisation des fonctions réseau. Le conteneur est léger en termes de consommation de ressources ce qui améliore son temps d'instanciation. Outre les fonctions de réseau, la conteneurisation peut être un outil prometteur pour les applications multi-access edge computing (MEC) qui abritent des services exigeants à faible latence. La rareté des ressources à la périphérie du réseau exige des technologies qui utilisent efficacement les ressources de calcul, de stockage et de mise en réseau. La conteneurisation est censée être utilisée dans le cadre des principes fondamentaux de la conception d'applications cloud-native, une architecture basée sur des microservices à couplage lâche, d'une évolutivité à la demande et d'une résilience élevée. La flexibilité et l'agilité des conteneurs peuvent certainement profiter au découpage du réseau 5G en tranches,ces derniers reposent fortement sur NFV et MEC. Le concept de découpage du réseau permet de créer des réseaux logiques isolés au-dessus du même réseau physique. Une tranche de réseau peut avoir des fonctions de réseau dédiées, partagées entre plusieurs tranches. En effet, l'orchestration des tranches de réseau nécessite une interaction avec de multiples orchestrateurs de domaines technologiques: l'accès radio, le transport, le réseau central et l'informatique périphérique. Le changement de paradigme consistant à utiliser des principes de conception d'applications cloud-natives a créé des défis pour les systèmes d'orchestration existants et les normes NFV et MEC de l'ETSI. Ces derniers ont été conçus pour gérer des fonctions de réseau basées sur des machines virtuelles. Ils sont donc limités dans leur approche de la gestion d'une fonction de réseau cloud-native. Par le présent manuscrit, nous examinons les normes existantes de l'ETSI NFV, de l'ETSI MEC et des orchestrateurs de services/tranches de réseau, nous proposons de résoudre les défis liés à l'orchestration de tranches de réseau multi-domaines cloud-native. Pour cela, nous proposons tout d'abord un service d'information sur le réseau radio (RNIS) MEC qui a la capacité de fournir des informations radio au niveau de l'abonné dans un environnement NFV. Deuxièmement, nous fournissons un algorithme d'allocation et de placement dynamique des ressources (DRAP) pour placer les services réseau cloud-natives en tenant compte de leur matrice de coût et de disponibilité. Troisièmement, en combinant NFV, MEC et Network Slicing, nous proposons un nouveau mécanisme d'orchestration de tranches MEC (LeSO) pour surmonter les défis liés à l'orchestration de tranches MEC. Quatrièmement, le mécanisme proposé offre un modèle de déploiement de tranches de réseau qui permet de multiples possibilités de conception d'applications MEC. Ces possibilités ont été étudiées plus en détails pour comprendre l'impact de l'architecture de conception microservice sur la disponibilité et la latence de l'application. Enfin, tous ces travaux sont combinés pour proposer une nouvelle approche d'orchestration de tranches légères Cloud-native (CLiSO) étendant le précédant mécanisme d'orchestration de tranches légères de bord (LeSO). Cette nouvelle approche offre un modèle de tranche de réseau agnostique sur le plan technologique et orienté déploiement. La solution a été évaluée de manière approfondie en orchestrant les fonctions réseau du conteneur OpenAirInterface sur des plateformes de cloud public et privé. Les résultats expérimentaux montrent que la solution proposée a des empreintes de ressources plus faibles que les orchestrateurs existants et prend moins de temps pour orchestrer les tranches de réseau
Network 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
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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.

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Cette thèse présente un cadre flexible basé sur l'apprentissage par renforcement des files d'attente pour l'orchestration dynamique des tranches dans les réseaux Beyond 5G, prenant en charge de multiples tranches concurrentes qui couvrent différents domaines technologiques et sont régies par divers accords de niveau de service de bout en bout. Différentes méthodes d'apprentissage par renforcement profond (mono ou multi-agents) sont étudiées pour résoudre les problèmes de complexité d'état et d'action liés à ces problèmes combinatoires, qui rendent l'utilisation d'algorithmes d'apprentissage par renforcement classique impraticable. La performance des schémas proposés est validée par des simulations dans des scénarios de trafic markovien synthétique et de trafic réel
This 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
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Luong, Duc-Hung. "On resource allocation in cloudified mobile network". Thesis, La Rochelle, 2019. http://www.theses.fr/2019LAROS031.

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Le trafic mobile a considérablement augmenté ces dernières années motivant une évolution vers la prochaine génération de réseau mobile, la 5G. La virtualisation des fonctions du réseau (Network Function Virtualization, NFV), la programmabilité du réseau (Software-Defined Networking, SDN) et l’informatique en nuage (Cloud Computing) sont les technologies retenues pour la mise en œuvre de cette évolution. Ces technologies offrent la flexibilité et l'élasticité nécessaires pour répondre aux défis de la 5G. Cependant, même si ces technologies semblent nécessaires pour la conception de la 5G, reste à savoir si les exigences essentielles de la 5G, en termes de qualité de service et d’expérience d’utilisateur, peuvent être réalisées via ces technologies. Cette thèse traite donc spécifiquement de la façon d'appliquer efficacement ces technologies de virtualisation de réseaux pour la mise en œuvre de la 5G, de la conception au déploiement des services de télécommunication. Elle s’intéresse plus spécifiquement à l’allocation de ressources de façon flexible. Plus spécifiquement, nous avons étudié dans un premier temps l’utilisation de l’approche « cloud-native » et des « microservices » pour la création, de la conception au déploiement, des composants du réseau cœur et ceux du réseau d'accès radio (RAN) de la 5G. Ensuite, afin de maintenir un niveau de qualité de services cible, nous avons traité du problème de la mise à l’échelle automatique des microservices, via une approche prédictive que nous proposons pour éviter les dégradations des services. Celle-ci est intégrée à une plate-forme d'orchestration autonome pour les services de réseau mobile. Pour finir, nous avons également proposé et implémenté un ordonnanceur multi-niveaux, qui permet à la fois de gérer les ressources allouées pour un réseau mobile virtualisé, appelé « slice », mais aussi et surtout de gérer les ressources allouées à plusieurs instances de réseaux mobiles virtualisés, slices, déployés au sein de la même infrastructure physique. Toutes ces propositions ont été mises en œuvre et évaluées sur un banc d’essai réaliste, que nous avons construit
Mobile 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
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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.

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With the advent of cloud computing and Software-as-a-Service, Service-Based Application (SBA) represents a new paradigm to build rapid, low-cost, interoperable and evolvable distributed applications. A new application is created by defining a workflow that coordinates a set of third-party Web services accessible over the Internet. In such distributed and loose coupling environment, the execution of SBA requires a high degree of flexibility. For example, suitable constituent services can be selected and integrated at runtime based on their Quality of Service (QoS); furthermore, the composition of service is required to be dynamically modified in response to unexpected runtime failures. In this context, the main objective of this dissertation is to design, to develop and to evaluate a service middleware for flexible execution of SBA by using chemical programming model. Using chemical metaphor, the service-based systems are modeled as distributed, selforganized and self-adaptive biochemical systems. Service discovery, selection, coordination and adaptation are expressed as a series of pervasive chemical reactions in the middleware, which are performed in a distributed, concurrent and autonomous way. Additionally, on the way to build flexible service based systems, we do not restrict our research only in investigating chemical-based solutions. In this context, the second objective of this thesis is to find out generic solutions, such as models and algorithms, to respond to some of the most challenging problems in flexible execution of SBAs. I have proposed a two-phase online prediction approach that is able to accurately make decisions to proactively execute adaptation plan before the failures actually occur.
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Fonseca, João Pedro Celestino da. "5G interdomain orchestration mechanisms for flexible vertical services deployment". Master's thesis, 2021. http://hdl.handle.net/10773/32336.

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The 5G verticals, are getting used to the idea of using 5G in their daily businesses. So far, there aren’t lots of communication service providers who can deliver these services, but they are already looking to provide new services as part of their business model. At the moment, one of the most active subjects of interest to them is the idea of network slicing, whose concept is pretty straightforward. Building on top of the basic concepts of SDN and NFV an network slice is a logical network link that covers the RAN and Core Networks, the characteritics of the slice are defined by the type of service needed. In this context, Communication Service Providers(CSPs) like Network Operators can provide, as proposed by 3GPP, Network Slice as a Service solutions to their consumers. This means, that a Consumer is able to leverage the use of slices from two or more CSPs. In this context, the work of this document tries to provide a solution for the stitching of slices from different administrative domains using the 5Growth platform as an entry point to request an End to End slice across administrative domains. The concept of stitching the several resources from different slices is called in this document, Interdomain Network Slicing. After reviewing the Specifications on the orchestration of network slices several solutions proposed. The results obtained so far indicate the feasibility of theses solutions.
Os 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
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Części książek na temat "Slice Orchestration"

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Bernini, G., P. Piscione i E. Seder. "AI-driven Service and Slice Orchestration". W Shaping the Future of IoT with Edge Intelligence, 15–36. New York: River Publishers, 2023. http://dx.doi.org/10.1201/9781032632407-3.

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Min, Jie, Ying Wang i Peng Yu. "An Intent-Based Network Slice Orchestration Method". W Advances in Intelligent Systems and Computing, 1447–55. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8462-6_165.

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Moreira, Rodrigo, Pedro Frosi Rosa, Rui Luis Andrade Aguiar i Flávio de Oliveira Silva. "Enabling Multi-domain and End-to-End Slice Orchestration for Virtualization Everything Functions (VxFs)". W Advanced Information Networking and Applications, 830–44. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44041-1_73.

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Guan, Wanqing, i Haijun Zhang. "Intelligent Deployment and Orchestration of E2E Slices". W 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.

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Volkmar, Karl F. "The Temporal Character of Catherine Schieve’s Slide Opera". W 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.

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Toosi, Adel Nadjaran, Redowan Mahmud, Qinghua Chi i Rajkumar Buyya. "Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds". W Fog and Edge Computing, 79–101. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119525080.ch4.

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Blanco, Bego, Rubén Solozabal, Aitor Sanchoyerto, Javier López-Cuadrado, Elisa Jimeno i Miguel Catalan-Cid. "Intelligent Orchestration of End-to-End Network Slices for the Allocation of Mission Critical Services over NFV Architectures". W 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.

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Bojkovic, Zoran, Bojan Bakmaz i Miodrag Bakmaz. "Principles and Enabling Technologies of 5G Network Slicing". W 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.

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5G mobile systems can be comprehended as highly flexible and programmable E2E networking infrastructures that provide increased performance in terms of capacity, latency, reliability, and energy efficiency while meeting a plethora of diverse requirements from multiple services. Network slicing is emerging as a prospective paradigm to meet these requirements with reduced operating cost and improved time and space functionality. A network slice is the way to provide better resource isolation and increased statistical multiplexing. With dynamic slicing, 5G will operate on flexible zone of the network, permitting varying, adaptable levels or bandwidth and reliability. In this chapter, a comprehensive survey of network slicing is presented from an E2E perspective, detailing its origination and current standardization efforts, principal concepts, enabling technologies, as well as applicable solutions. In particular, it provides specific slicing solutions for each part of the 5G systems, encompassing orchestration and management in the radio access and the core network domains.
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Lanka, Divya, i Selvaradjou Kandasamy. "An Unsupervised Traffic Modelling Framework in IoV Using Orchestration of Road Slicing". W 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.

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Presenting better traffic management in urban scenarios has endured as a challenge to reduce the fatality rate. The model developed consolidates an evolving methodology to handle traffic on roads in an abstract way in internet of vehicles (IoV) orchestrated with unsupervised machine learning (USL) techniques. At first, the roads are sliced into segments with roadside units (RSU) that provide vehicle to everything (V2X) communication in a multi-hop manner and examine traffic in real-time. The unique nature of the proposed framework is to introduce USL into the RSU to learn about traffic patterns. The RSU upon learning the traffic patterns applies the Gaussian mixture model (GMM) to observe the variation in the traffic pattern to immediately generate warning alerts and collision forward messages to the vehicles on road. The application of USL and GMM ensures speed control of vehicles with traffic alerts, thereby deteriorating the fatality rates.
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Debeau, Eric, i Veronica Quintuna-Rodriguez. "ONAP". W 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.

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The ever-increasing complexity of networks and services advocates for the introduction of automation techniques to facilitate the design, the delivery, and the operation of such networks and services. The emergence of both network function virtualization (NFV) and software-defined networks (SDN) enable network flexibility and adaptability which open the door to on-demand services requiring automation. In aim of holding the increasing number of customized services and the evolved capabilities of public networks, the open network automation platform (ONAP), which is in open source, particularly addresses automation techniques while enabling dynamic orchestration, optimal resource allocation capabilities, and end-to-end service lifecycle management. This chapter addresses the key ONAP features that can be used by industrials and operators to automatically manage and orchestrate a wide set of services ranging from elementary network functions (e.g., firewalls) to more complex services (e.g., 5G network slices).
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Streszczenia konferencji na temat "Slice Orchestration"

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Arora, Sagar, Adlen Ksentini i Christian Bonnet. "Lightweight edge Slice Orchestration Framework". W ICC 2022 - IEEE International Conference on Communications. IEEE, 2022. http://dx.doi.org/10.1109/icc45855.2022.9838854.

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Sciancalepore, Vincenzo, Flavio Cirillo i Xavier Costa-Perez. "Slice as a Service (SlaaS) Optimal IoT Slice Resources Orchestration". W GLOBECOM 2017 - 2017 IEEE Global Communications Conference. IEEE, 2017. http://dx.doi.org/10.1109/glocom.2017.8254529.

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Hoang, Dinh Thai, Dusit Niyato, Ping Wang, Antonio De Domenico i Emilio Calvanese Strinati. "Optimal Cross Slice Orchestration for 5G Mobile Services". W 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). IEEE, 2018. http://dx.doi.org/10.1109/vtcfall.2018.8690608.

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Papadakis-Vlachopapadopoulos, Konstantinos, Ioannis Dimolitsas, Dimitrios Dechouniotis, Eirini Eleni Tsiropoulou, Ioanna Roussaki i Symeon Papavassiliou. "Blockchain-Based Slice Orchestration for Enabling Cross-Slice Communication at the Network Edge". W 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.

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Schmidt, Robert, i Navid Nikaein. "Demo: Efficient Multi-Service RAN Slice Management and Orchestration". W NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2020. http://dx.doi.org/10.1109/noms47738.2020.9110253.

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Sailada, Srikanth, Vineeth Aitipamula, Suresh V i Anil Kumar Gupta. "Intelligent RAN Slicing Orchestration Framework For Healthcare Application in 5G". W Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001005.

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With the increase in the number of internet-connected devices, there is a need to improve reliability, lower latency, higher capacity, more security, and high-speed connectivity. Every application has its performance metrics in terms of QoS parameters. Network slicing enables slicing an extensive broadband network into multiple virtual networks to serve applications more cost-efficiently. With the advancements in Artificial Intelligence (AI), the performance of network decision-making accelerates. In this paper, a dynamic RAN slicing framework is proposed for healthcare applications and a static Radio Access Network slice simulation model is developed by implementing KNN to predict the class. The deep slice data set from the public domain was leveraged to train the model and predict appropriate slice service types for healthcare applications.
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Kim, Serae, Sunghyun Jin, Junseon Kim i Kyunghan Lee. "Towards Enabling Performance-Guaranteed Slice Management and Orchestration in 6G". W 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.

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Contreras, L. M., L. Luque, G. Landi, G. Bernini, G. Carrozzo, J. Garcia-Reinoso i M. Molla Rosello. "Interworking of Softwarized Infrastructures for Enabling 5G Multi-Site Slice Orchestration". W 2019 IEEE Conference on Network Softwarization (NetSoft). IEEE, 2019. http://dx.doi.org/10.1109/netsoft.2019.8806656.

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Baba, Hiroki, Shiku Hirai, Takayuki Nakamura, Sho Kanemaru, Kensuke Takahashi, Taisuke Omoto, Shinsaku Akiyama i Senri Hirabaru. "End-to-end 5G network slice resource management and orchestration architecture". W 2022 IEEE 8th International Conference on Network Softwarization (NetSoft). IEEE, 2022. http://dx.doi.org/10.1109/netsoft54395.2022.9844088.

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Mpatziakas, Asterios, Stavros Papadopoulos, Anastasios Drosou i Dimitrios Tzovaras. "Multi-objective Optimisation for Slice-aware Resource Orchestration in 5G Networks". W 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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