Relevant bibliographies by topics / Virtual networks and slicing

Academic literature on the topic 'Virtual networks and slicing'

Author: Grafiati
Published: 7 July 2024
Last updated: 7 July 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Virtual networks and slicing":

1

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.

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Network slicing is a vital component of the 5G system to support diverse network scenarios, creating virtual networks (slices) by mapping virtual network requests to real networks. The mapping is an arduous computing process, mathematically studied and known as the Virtual Network Embedding (VNE) problem, and its complexity is NP-Hard. The mapping process is oriented to respect the QoS demands from the virtual network requests and the available resources in the physical-substrate infrastructure. Meta-heuristic approaches are a suitable way to solve the VNE problems because of their capacity to escape from the local optimum and adapt the solution search to complex networks; these abilities are essential in 5G networks scenarios. This article presents a systematic review of meta-heuristics organized by application, development and problem-solving approaches to VNE. It also provides the standard parameters to model the infrastructure and virtual network requests to simulate network slicing as a service. Finally, our work proposes some future research based on the discovered gaps.
2

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.

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The introduction of fifth-generation (5G) mobile networks leads to an increase in energy consumption and higher operational costs for mobile network operators (MNOs). Consequently, the optimization of 5G networks’ energy efficiency is crucial, both in terms of reducing MNO costs and in terms of the negative environmental impact. However, many aspects of the 5G mobile network technology itself have been standardized, including the 5G network slicing concept. This enables the creation of multiple independent logical 5G networks within the same physical infrastructure. Since the only necessary resources in 5G networks need to be used for the realization of a specific 5G network slice, the question of whether the implementation of 5G network slicing can contribute to the improvement of 5G and future sixth-generation networks’ energy efficiency arises. To tackle this question, this review paper analyzes 5G network slicing and the energy demand of different network slicing use cases and mobile virtual network operator realizations based on network slicing. The paper also overviews standardized key performance indicators for the assessment of 5G network slices’ energy efficiency and discusses energy efficiency in 5G network slicing lifecycle management. In particular, to show how efficient network slicing can optimize the energy consumption of 5G networks, versatile 5G network slicing use case scenarios, approaches, and resource allocation concepts in the space, time, and frequency domains have been discussed, including artificial intelligence-based implementations of network slicing. The results of the comprehensive discussion indicate that the different implementations and approaches to network slicing pave the way for possible further reductions in 5G MNO energy costs and carbon dioxide emissions in the future.
3

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.

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Network slicing is gaining an increasing importance as an effective way to introduce flexibility in the management of resources in 5G networks. We envision a scenario where a set of network operators outsource their respective networks to one Infrastructure Provider (InP), and use network slicing mechanisms to request the resources as needed for service provision. The InP is then responsible for the network operation and maintenance, while the network operators become Virtual Network Operators (VNOs). We model a setting where two VNOs compete for the users in terms of quality of service, by strategically distributing its share of the aggregated cells capacity managed by the InP among its subscribers. The results show that the rate is allocated among the subscribers at each cell in a way that mimics the overall share that each VNO is entitled to, and that this allocation is the Nash equilibrium of the strategic slicing game between the VNOs. We conclude that network sharing and slicing provide an attractive flexibility in the allocation of resources without the need to enforce a policy through the InP.
4

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.

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In realizing the network environment assumed by the Internet-of-Things, network slicing has drawn considerable attention as a way to enhance the utilization of physical networks (PNs). Meanwhile, slicing has been shown to cause interdependence among sliced virtual networks (VNs) by propagating traffic fluctuations from one network to others. However, for interconnected networks with mutual dependencies, known as a network of networks (NoN), finding a reliable design method that can cope with environmental changes is an important issue that is yet to be addressed. Some NoN models exist that describe the behavior of interdependent networks in complex systems, and previous studies have shown that an NoN model based on the functional networks of the brain can achieve high robustness, but its application to dynamic and practical systems is yet to be considered. Consequently, this paper proposes the Physical–Virtual NoN (PV-NoN) model assuming a network-slicing environment. This model defines an NoN availability state to deal with traffic fluctuations and interdependence among a PN and VNs. Further, we assume three basic types of interdependence among VNs for this model. Simulation experiments confirm that the one applying complementary interdependence inspired by brain functional networks achieves high availability and communication performance while preventing interference among the VNs. Also investigated is a method for designing a reliable network structure for the PV-NoN model. To this end, the deployment of network influencers (i.e., the most influential elements over the entire network) is configured from the perspective of intra/internetwork assortativity. Simulation experiments confirm that availability or communication performance is improved when each VN is formed assortatively or disassortatively, respectively. Regarding internetwork assortativity, both the availability and communication performance are improved when the influencers are deployed disassortatively among the VNs.
5

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.

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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.

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Network slicing has been considered a promising technology in next generation mobile networks (5G), which can create virtual networks and provide customized service on demand. Most existing works on network slicing mainly focus on virtualization technology, and have not considered in-network caching well. However, in-network caching, as the one of the key technologies for information-centric networking (ICN), has been considered as a significant approach in 5G network to cope with the traffic explosion and network challenges. In this article, the authors jointly consider in-network caching combining with network slicing. They propose an efficient caching resource sharing scheme for network slicing in 5G core network, aiming at solving the problem of how to efficiently share the limited physical caching resource of Infrastructure Provider (InP) among multiple network slices. In addition, from the perspective of network slicing, the authors formulate caching resource sharing problem as a non-cooperative game, and propose an iteration algorithm based on caching resource updating to obtain the Nash Equilibrium solution. Simulation results show that the proposed algorithm has good convergence performance, and illustrate the effectiveness of the proposed scheme.
7

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.

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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.

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Network slicing to create multiple virtual networks, called network slice, is a promising technology to enable networking resource sharing among multiple tenants for the 5th generation (5G) networks. By offering a network slice to slice tenants, network slicing supports parallel services to meet the service level agreement (SLA). In legacy networks, every tenant pays a fixed and roughly estimated monthly or annual fee for shared resources according to a contract signed with a provider. However, such a fixed resource allocation mechanism may result in low resource utilization or violation of user quality of service (QoS) due to fluctuations in the network demand. To address this issue, we introduce a resource management system for network slicing and propose a dynamic resource adjustment algorithm based on reinforcement learning approach from each tenant’s point of view. First, the resource management for network slicing is modeled as a Markov Decision Process (MDP) with the state space, action space, and reward function. Then, we propose a Q-learning-based dynamic resource adjustment algorithm that aims at maximizing the profit of tenants while ensuring the QoS requirements of end-users. The numerical simulation results demonstrate that the proposed algorithm can significantly increase the profit of tenants compared to existing fixed resource allocation methods while satisfying the QoS requirements of end-users.
9

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.

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5G communication systems are being rolled out with multiple technological solutions and applications being fielded on existing as well as enhanced infrastructure. The utilization of 5G systems and infrastructure by verticals over different platforms as well as industries is achieved with slicing. Slicing in 5G provides guaranteed resources for end users of vertical industries and applications over varied platforms, architecture, and infrastructure. Standards for network slicing in 5G have been formulated by 3GPP and further specifications are being released. Implementation of slicing at various layers are being researched. This Paper reviews the advancements in development of specifications for Layer 2 implementation of slicing and communication systems using virtual Private Network and Virtual Transport Network and its architecture. The enhancements to communication systems using existing Multi-Protocol Label Switching (MPLS) and its exploitation based on slicing technology has been reviewed. The research challenges and way ahead on same have been discussed including end resource allocation.
10

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.

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Network slicing empowers 5G with enhanced network performance and efficiency, cost saving, and better QoS and customer satisfaction, and expands the commercial application scenarios of 5G networks. However, the introduction of new techniques usually raises new security threats. Most of the existing works on 5G security only focus on 5G itself and do not analyze 5G network slicing security in detail. We consider network slices as a virtual logical network that can unite the subnetwork parts of 5G. If a 5G network slice has security problems or has been attacked, the entire 5G network will have security risks. In this paper, after synthesizing the existing literature, we analyze the security threats step by step through the lifecycle of 5G network slices, analyzing and summarizing more than 70 security threats in three major categories. Based on the security issues investigated, from a viewpoint of building a secure 5G network slicing system, we compiled 24 security requirements and proposed the corresponding recommendations for different scenarios of 5G network slicing. Finally, we collated the future research trends of 5G network slicing security.
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Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Virtual networks and slicing":

1

Luu, Quang Trung. "Dynamic Control and Optimization of Wireless Virtual Networks." Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG039.

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Le découpage du réseau est une technologie clé des réseaux 5G, grâce à laquelle les opérateurs de réseaux mobiles peuvent créer des tranches de réseau indépendantes. Chaque tranche permet à des fournisseurs d'offrir des services personnalisés. Comme les tranches sont opérées sur une infrastructure de réseau commune gérée par un fournisseur d'infrastructure, il est essentiel de développer des méthodes de partage efficace des ressources. Cette thèse adopte le point de vue du fournisseur d'infrastructure et propose plusieurs méthodes de réservation de ressources pour les tranches de réseau. Actuellement, les chaines de fonctions appartenant à une tranche sont déployées séquentiellement sur l'infrastructure, sans avoir de garantie quant à la disponibilité des ressources. Afin d'aller au-delà de cette approche, nous considérons dans cette thèse des approches de réservation des ressources pour les tranches en considérant les besoins agrégés des chaines de fonctions avant le déploiement effectif des chaines de fonctions. Lorsque la réservation a abouti, les chaines de fonctions ont l'assurance de disposer de suffisamment de ressources lors de leur déploiement et de leur mise en service afin de satisfaire les exigences de qualité de service de la tranche. La réservation de ressources permet également d'accélérer la phase d'allocation de ressources des chaines de fonctions
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
2

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.

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Cette thèse traite des problèmes d'allocation des ressources dans les réseaux 5G. Notre objectif est d'exploiter le slicing du réseau (c'est-à-dire un corpus de techniques basées sur la virtualisation et la softwarisation du réseau qui permettent à l'opérateur de fournir différentes quantités de ressources à différents clients) afin d'améliorer l'efficacité énergétique et la consommation de ressources des réseaux 5G, tout en respectant des contraintes de Qualité de Service. Pour ce faire, nous formulons et résolvons des problèmes d'optimisation dans les différents domaines du réseau : nous nous intéressons tout d'abord au placement des slices dans le réseau coeur. Pour résoudre le problème, une nouvelle approche combinant la recherche Monte Carlo et la recherche par voisinage est formulée. Nous montrons qu'elle permet d'accepter plus de slices que les techniques de l'état de l'art pour le problème de placement du réseau coeur. Ensuite, nous mettons l'accent sur l'efficacité énergétique en proposant un framework pour l'allocation de ressources dans les réseaux 5G partagés entre les opérateurs de réseaux physiques (PNO) et les opérateurs de réseaux mobiles virtuels (MVNO). Ce framework tient compte à la fois du placement des composants logiciels, du routage des demandes des utilisateurs et du dimensionnement des ressources, tout en respectant les accords de niveau de service (SLA) basés sur des contraintes de latence et de fiabilité. Grâce à la génération de colonnes, nous obtenons des solutions exactes, démontrant des économies d'énergie allant jusqu'à 50% dans des réseaux réels, par rapport aux algorithmes de placement ou de minimisation des ressources existants. Enfin, nous abordons le problème de l'optimisation de l'énergie dans les réseaux Integrated Access and Backhaul (IAB), un élément clé des déploiements denses de la 5G. S'appuyant sur le framework du réseau d'accès ouvert Open RAN (O-RAN), notre modèle minimise les noeuds IAB actifs tout en garantissant une capacité minimale pour l'équipement de l'utilisateur (UE). Formulée comme un programme non linéaire binaire, cette approche réduit la consommation d'énergie du RAN de 47%, tout en maintenant la qualité de service pour les UEs. Dans l'ensemble, cette thèse propose de nouveaux algorithmes pour améliorer la l'efficacité en ressources et en énergie du réseau 5G slicé. Ces améliorations sont étudiées dans différentes parties du réseau, du coeur au réseau d'accès
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
3

Dawaliby, Samir. "Machine-to-Machine (M2M) Communications in Next Generation Networks : Spectrum management and energy efficiency." Thesis, Poitiers, 2019. http://www.theses.fr/2019POIT2280.

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Cette thèse traite le problème de garantir la qualité de service (QoS) dans l'internet des objets (IoT) en termes d’urgence et de fiabilité. Pour atteindre cet objectif, nous avons proposé différentes solutions adaptées aux réseaux étendus LoRa (LoRaWAN). Premièrement, nous mettons en œuvre un découpage virtuel du réseau LoRa en plusieurs tranches et nous évaluons son impact en utilisant plusieurs stratégies statiques et dynamiques. Les résultats des simulations exécutés sur NS3 ont prouvé l'efficacité de l'isolation virtuelle des ressources physiques pour une tranche d'un réseau ayant des communications urgentes en réduisant l'impact venant des autres communications IoT. Motivés par ces résultats, une méthode d'optimisation est ensuite proposée pour chercher une meilleure configuration des nœuds LoRa en regardant plus en détail leur paramètres au niveau de la couche physique permettant d’améliorer ses performances en termes de QoS, de fiabilité et d’efficacité énergétique. Par contre, même avec le découpage du réseau en tranches virtuels, l’évolutivité de LoRa reste un défi en raison du manque de flexibilité lors de la gestion des réseaux sans fil actuels. Par conséquent, pour atteindre l'objectif global de garantir une bonne QoS dans un réseau IoT à grande échelle, les technologies SDN et le découpage virtuel du réseau sont adoptés simultanément pour proposer une architecture virtualisée et distribuée. Cette dernière proposition est basée sur la théorie des jeux et s'adapte plus rapidement aux changements dans un environnement IoT encombré en exploitant la prise de décision du découpage du réseau et la configuration des nœuds LoRa à la périphérie du réseau
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
4

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/.

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Future networks will pave the way for a myriad of applications with different requirements. In such a context, the today’s one-size-fits-all approach will not be able to efficiently address the different demands that verticals impose in terms of QoS and involved data volumes. To this end, network slicing is a new network paradigm which may provide the needed flexibility. It allows to offer multiple logical networks over a common infrastructure, tailored to the services which run on the network. In today’s Wi-Fi networks, all the users are connected to the same wireless channel, which allows service differentiation only at the traffic level. Thus, in this study, we propose a standard-compliant network slicing approach for the radio access segment of Wi-Fi, often neglected by the literature on network slicing. We present two algorithms to realize network slicing at the access level. The first assigns resources according to the requirements of the slices in a static way. On the other hand, the second, more advanced, dynamically configures the slices according to the network conditions and relevant KPIs. These techniques can be applied to the IEEE 802.11 standard and, in general, to all the protocols that use Carrier Sensing Multiple Access (CSMA) as channel access technique. The proposed algorithms were validated through extensive simulations, conducted with ns-3 network simulator and accompanied by theoretical calculations. Particular attention, often neglected in similar simulation-based works, has been paid to the electromagnetic properties of the spectrum, which play a fundamental role in radio communications. From the conducted simulations, we found that our slicing approaches largely outperform the today’s Wi-Fi access technique. They allow to reach higher goodput (i.e. a lower error probability) and lower latency, when needed. At the same time, tailored slicing saves energy to low-power devices and increases the spectrum efficiency.
5

Bakri, Sihem. "Towards enforcing network slicing in 5G networks." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS067.

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Les architectures de réseaux sans fil actuelles, de type « une taille pour tous », ne peuvent pas prendre en charge ces critères de services hétérogènes de nouvelle génération 5G. Par conséquent, la recherche autour de la 5G vise à fournir des architectures et des mécanismes plus adéquats pour répondre à ce besoin. L'architecture 5G est conçue pour répondre aux exigences variées et contradictoires des services, en termes de latence, de bande passante et de fiabilité, qui ne peuvent être assurées par la même infrastructure du réseau. Dans ce contexte, le découpage du réseau fourni par la virtualisation du réseau permet de diviser l'infrastructure en différentes tranches, chaque tranche est adaptée aux besoins spécifiques des services, où elle permet à différents services (comme l'automobile, l'Internet des objets...) d'être fournis par différentes instances de la tranche du réseau. Les chercheurs ont défini trois grandes classes de services de découpage en réseau, qui sont: enhanced Mobile BroadBand (eMBB), massive Machine Type Communication (mMTC), and ultra-Reliable and Low-Latency Communication (uRLLC). L'un des principaux défis du déploiement des tranches de réseau est le découpage du réseau d'accès radio (RAN). En effet, la gestion des ressources RAN et leur partage entre les tranches de réseau est une tâche particulièrement difficile. Cette thèse propose des solutions qui visent à améliorer les performances du réseau et d'introduire de la flexibilité et une plus grande utilisation des ressources du réseau, en fournissant de manière précise et dynamique aux tranches de réseau activées les quantités de ressources appropriées pour répondre à leurs divers besoins
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
6

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

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Ces dernières années, en raison de la croissance sans précédent du nombre d'appareils connectés et de données mobiles, et des développements continus des technologies pour répondre à cette énorme demande de données, le réseau de cinquième génération (5G) a émergé. La future architecture 5G sera essentiellement basée sur le Network Slicing (NS), qui permet de fournir une approche flexible pour réaliser la vision 5G. Grâce au concept émergent de virtualisation des fonctions réseau (NFV), les fonctions réseau sont découplées des matériels physiques dédiés et réalisées sous forme de logiciel. Cela offre plus de flexibilité et d'agilité dans les opérations commerciales. Malgré les avantages qu'il apporte, NFV soulève quelques défis techniques, le problème de reconfiguration étant l'un d'entre eux. Ce problème, qui est NP-difficile, consiste à réaffecter les fonctions de réseau virtuel (VNFs) pour s'adapter aux changements du réseau, en transformant l'état courant des services déployés, on peut illustrer cela par la migration des machines virtuelles (VM) qui hébergent les VNF, à un autre état qui répond aux objectives des opérateurs. Cette thèse de doctorat étudie comment reconfigurer les VNFs en les migrant vers un état optimal qui pourrait être calculé en avance ou inconnu. Dans cette thèse, nous avons étudié les deux cas en minimisant la durée d'interruption de service et la durée de migration des VNFs. Nous avons proposé des méthodes exactes et approchées. Parmi les méthodes exactes, nous citons deux modèles PLNE. Nous avons également proposé deux approches heuristiques, l'une basée sur la génération de colonnes et la deuxième utilisant la notion de “feedback arc set". L'objectif global de ce travail est donc de définir et d'étudier le problème de reconfiguration des VNFs dans le contexte du 5G network slicing, et de proposer des modèles mathématiques et des algorithmes efficaces pour résoudre les problèmes d'optimisation sous-jacents
In recent years, because of the unprecedented growth in the number of connected devices and mobile data, and the ongoing developments in technologies to address this enormous data demand, the fifth generation (5G) network has emerged. The forthcoming 5G architecture will be essentially based on Network Slicing (NS), which enables provide a flexible approach to realize the 5G vision. Thanks to the emerging Network Function Virtualization (NFV) concept, the network functions are decoupled from dedicated hardware devices and realized in the form of software. This offers more flexibility and agility in business operations. Despite the advantages it brings, NFV raises some technical challenges, the reconfiguration problem is one of them. This problem, which is NP-Hard, consists in reallocating the Virtual Network Functions (VNFs) to fit the network changes, by transforming the current state of deployed services, e.g., the current placement of Virtual Machines (VM) that host VNFs, to another state that updates providers’ objectives. This PhD thesis investigates how to reconfigure the VNFs by migrating them to an optimal state that could be computed in advance or free placement. In this thesis, we studied both cases while minimizing the service interruption duration and the VNF migration duration. We have proposed exact and approximate methods. Among the exact methods, we cite two ILP models. We also proposed two heuristic approaches, one based on column generation and the second using the concept of “arc set feedback”. The overall objective of this work is therefore to define and study the problem of VNF reconfiguration problem in the context of 5G network slicing, and propose mathematical models and efficient algorithms to solve the underlying optimization problems
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Sun, Shaobo. "Applications of spectrum slicing in optical access networks." Thesis, University of Warwick, 2010. http://wrap.warwick.ac.uk/34617/.

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Spectrum-slicing (SS) is a novel attractive technique for the implementation of optical access network. Its main advantage compared to the conventional optical network is utilizing spectral slices of a broadband source for different data channels. Since the light sources employed are quite cost effective, this technology is economically attractive to the modern communication system. The major objective of this dissertation is to investigate the performance of systems employing spectrum-slicing, for implementing wavelength division multiplexing (WDM) and optical code division multiple access (OCDMA) in optical access systems. The analysis is conducted mainly through the theoretical model based on the statistics, derived from fundamental chi-square and Gaussian distribution. Firstly, the analysis of an SS-WDM system performance when employing an optical preamplifier receiver is carried out to improve understanding of the SS in a realistic situation where dispersion significantly impacts the signal in transmission. It is shown that there exists an optimum optical bandwidth which minimizes the detection sensitivity for a given error probability caused by two competing effects of inherent signal fluctuation and dispersion. The optically preamplified receiver delivers increased transmission capacity and a substantially improved power budget compared to a pin receiver. The results are obtained using the saddle point approximation and compared to the customary Gaussian approximation, which is found to be reasonably accurate in predicting the optimum bandwidth but conservative in sensitivity predictions. The second part of the work investigates the performance of an SS-OCDMA employing and proposes a supporting adaptive coding scheme developed from prime-hop codes. The concomitant higher-order dispersion, beat noise and multiple access interference in incoherent OCDMA systems become limiting factors to the bit error rate. The major thrusts of the new schemes are to alleviate the performance degradation from these impacts especially to reduce the power loss and the bit error rate (BER) degradation due to higher-order dispersion. Performance comparisons between the adaptive PHC and original PHC schemes indicate that the former is more suitable for use in the considered incoherent system in terms of accommodating more users for a given BER. The proposed adaptive method can be universally applied to mitigate dispersion effects in the similar 2-D OCDMA systems. Within the last part of the work, regular low-density parity-check (LDPC) codes are applied for the first time to a SS-WDM system. An adaptive decoding algorithm of low density parity check (LDPC) codes based on the precise SSWDM noise statistics is developed, which outperforms the decoding with conventional Gaussian model. The simulation results for various code rates show that such a forward error correction scheme provides significant coding gain for a dedicated system in terms of improving the overall transmission capacity and available power budget. The adaptive algorithm of LDPC codes can be generically applied to all the asymmetric channels.
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Schmidt, Robert. "Slicing in heterogeneous software-defined radio access networks." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS525.

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Les réseaux 5G sont envisagés comme un changement de paradigme vers des réseaux orientés services. Dans cette thèse, nous étudions comment combiner efficacement le découpage en tranches et le SD-RAN afin de fournir le niveau requis de flexibilité et de programmabilité dans l'infrastructure RAN pour réaliser des réseaux multi-locataires orientés services. Premièrement, nous concevons une abstraction d'une station de base pour représenter les stations de base logiques et décrire un service de réseau virtualisé. Deuxièmement, nous proposons une nouvelle plateforme SD-RAN conforme aux normes, appelée FlexRIC, sous la forme d'un kit de développement logiciel (SDK). Troisièmement, nous fournissons une conception modulaire pour un cadre d'ordonnancement MAC tenant compte des tranches afin de gérer et de contrôler efficacement les ressources radio dans un environnement multiservice avec un support de qualité de service (QoS). Enfin, nous présentons une couche de virtualisation SD-RAN dynamique basée sur le SDK FlexRIC et le cadre d'ordonnancement MAC pour composer de manière flexible une infrastructure SD-RAN multiservice et fournir une programmabilité pour de multiples contrôleurs SD-RAN
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
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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.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2016-07-12T12:20:38Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Thesis - André Luis Cavalcanti Moreira.pdf: 3666881 bytes, checksum: 956e0e6be2bd9f076c0d30eea9d3ea25 (MD5)
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.
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Suárez, Trujillo Luis Carlos. "Securing network slices in 5th generation mobile networks." Thesis, Brest, 2020. http://www.theses.fr/2020BRES0050.

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Le « network slicing » est la pierre angulaire pour la conception et le déploiement de services de communication à forte valeur ajoutée qui seront supportés par les nouveaux cas d’usage introduits par la nouvelle architecture 5G. Ce document souligne le défi que représente l’isolation des « network slices », et la gestion de sa sécurité en fonction des politiques retenues.Tout d’abord, un nouveau modèle de contrôle d’accès a été créé. Il permet de sécuriser les interactions entre les fonctions réseaux supportées par les systèmes 5G. Ensuite, la gestion des interactions entre les «network slices » a été abordée. On utilise le concept de chaînes de « network slices », qui seront mises en oeuvre après validation des contraintes de sécurité selon la politique choisie. Enfin, une méthode de quantification de l’isolation a été mise au point, permettant de connaître le degré d’isolation d’un service de communication offert via des « network slices». Cela permet aux opérateurs de réseau et aux clients de mesurer le degré d’isolation, puis d’améliorer la configuration des « network slices » afin de le renforcer. Ces éléments établissent un cadre solide contribuant à sécuriser, verticalement, les services de communication d’un réseau 5G et à évaluer le degré de sécurité en ce qui concerne leurs interactions et leur isolation
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
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Books on the topic "Virtual networks and slicing":

1

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.

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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.

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Panteli, Niki, ed. Virtual Social Networks. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230250888.

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Bates, Regis J. Virtual private networks. New York: McGraw-Hill, 2000.

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Scott, Charlie. Virtual Private Networks. 2nd ed. Beijing [China]: O'Reilly, 1999.

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Scott, Charlie. Virtual Private Networks. Sebastopol, CA: O'Reilly, 1998.

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Provos, Niels. Virtual honeypots. Upper Saddle River, NJ: Addison-Wesley, 2007.

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Camarinha-Matos, Luis M., ed. Virtual Enterprises and Collaborative Networks. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/b98980.

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Briere, Daniel D. Virtual networks: A buyer's guide. Norwood, MA: Artech House, 1990.

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Merkow, Mark S. Virtual private networks for dummies. Foster City, CA: IDG Books Worldwide, 1999.

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Book chapters on the topic "Virtual networks and slicing":

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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AbstractThe ultrafast 5G network will play a significant role in the farming industry over the upcoming couple of years, serving to boost crop yield and quality while requiring minimal labour. Farmers will be more informed to make smart decisions regarding irrigation by using smart and precision farming. The introduction of 5G will significantly alter the farming characteristics and agriculture practices in this era of Agriculture 4.0. 5G network’s IoT-based cloud computing service offers smart farming solutions that are both flexible and resourceful. This will permit the seamless operation of various unmanned agricultural devices during ploughing, sowing seed and managing phases of crop farming, resulting in secure, dependable, environment-friendly and energy-efficient operations, as well as the creation of unmanned farms. This paper examines the need for and role of smart and precision farming in the agricultural sector incorporating 5G applications in precision farming in the present era of Agriculture 4.0, such as real-time monitoring, data analytics, cloud repositories, virtual consultation and predictive maintenance and also discusses upcoming opportunities. 5G-based IoT solutions focusing towards Ultra-Reliable Low Latency Communication (URLLC) like automated control and self-driven vehicles to support rapid response times and higher dependability will diminish communication delays in time-sensitive agriculture applications and non-public networks to allocate part of frequency spectrum on demand, network slicing alternatives are also discussed here.
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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.

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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.

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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.

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Conference papers on the topic "Virtual networks and slicing":

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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.

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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.

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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.

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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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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.

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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.

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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.

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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.

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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.

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O conceito de cloud network slicing oferece como sua principal característica o provisionamento de uma infraestrutura física e virtual fim-a-fim capaz de dar suporte a uma variedade de indústrias verticais. Tal infraestrutura é instanciada ao longo de múltiplos domínios administrativos e tecnológicos, o que torna um desafio ainda maior gerenciar e monitorar os recursos alocados. O monitoramento dos recursos desta nova entidade chamada de slice é de suma importância para que as operações de gerência e orquestração sejam possíveis. Portanto, este trabalho propõe uma arquitetura para o monitoramento de recursos físicos e virtuais em cloud network slices, considerando multidomínios administrativos e tecnológicos. Além disso, este trabalho apresenta um modelo de informação preliminar para o monitoramento de slices e implementa uma prova de conceito, na qual foi possível observar algumas métricas das slices sendo monitoradas ao longo do tempo.
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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.

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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.

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The 5G mobile network is based on a virtualized infrastructure and offers a virtual network (VN) creation service considering many new scenarios arising from the 5G vision. The diversity of scenarios and the instantiation of VN on-demand induce pressure on the virtual network embedding (VNE). VNE is the mapping of virtual nodes and links to real nodes and links obeying the QoS parameters present in the VN request and available resources. Since this is an optimization and NP-Hard problem, multiple efforts have been made to create VNE algorithms. Considering such efforts, this work presents: (i) a fitness function regarding multiobjective optimization; and (ii) a Parallel Differential Evolution (PDE) approach to face the VNE. We designed the PDE due to the lack of viable parallel solutions in the 5G scenario. We compared our approaches with different versions of Greedy, Stress, and Genetic Algorithms, totaling ten approaches. The results demonstrate that DE and its parallel version obtained a higher number of mapped requisitions. Also, the parallel performance decreases the execution time in certain conditions; in a favorable scenario, the parallel version obtains up 21.04% of runtime reduction.

Reports on the topic "Virtual networks and slicing":

1

Fox, B., and B. Gleeson. Virtual Private Networks Identifier. RFC Editor, September 1999. http://dx.doi.org/10.17487/rfc2685.

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2

Fox, B., and B. Petri. NHRP Support for Virtual Private Networks. RFC Editor, December 1999. http://dx.doi.org/10.17487/rfc2735.

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3

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.

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4

Rosen, E., and Y. Rekhter. BGP/MPLS IP Virtual Private Networks (VPNs). RFC Editor, February 2006. http://dx.doi.org/10.17487/rfc4364.

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5

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.

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6

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.

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7

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.

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8

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.

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9

Nagarajan, A., ed. Generic Requirements for Provider Provisioned Virtual Private Networks (PPVPN). RFC Editor, June 2004. http://dx.doi.org/10.17487/rfc3809.

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10

Fang, L., ed. Security Framework for Provider-Provisioned Virtual Private Networks (PPVPNs). RFC Editor, July 2005. http://dx.doi.org/10.17487/rfc4111.

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