Relevant bibliographies by topics / Network Function Virtualization (NFV)

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

Academic literature on the topic 'Network Function Virtualization (NFV)'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Network Function Virtualization (NFV)"

1

Kumar, M. Sandeep, and Prabhu J. "Analysis of Network Function Virtualization and Software Defined Virtualization." JOIV : International Journal on Informatics Visualization 1, no. 4 (November 4, 2017): 122. http://dx.doi.org/10.30630/joiv.1.4.40.

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Network function virtualization (NFV) has played important role in both industry and academic change in telecommunication services. NFV has the ability to handle reduction on OPEX and CAPEX; it provides new service and also increases quickly in getting a time value. NFV has an opportunity in doing research in developing new innovation in architecture, framework, and measures some of the technology used in deploying in NVF. In this paper, the author describes the relation between NFV, SDV and cloud computing. The architecture of NVF its advantage in using network function virtualization and some activity used in NFV and adoption of NVF and future direction of NFV, issues, and difference in NFV and SDV.
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DJOMI, MANZILA IZNIARDI, RENDY MUNADI, and RIDHA MULDINA NEGARA. "Analisis Performansi Layanan FTP danVideo Streaming berbasis Network Function Virtualization menggunakan Docker Containers." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 6, no. 2 (July 9, 2018): 180. http://dx.doi.org/10.26760/elkomika.v6i2.180.

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ABSTRAKInfrastruktur jaringan seperti router, secara tradisional menggunakan hardware yang bersifat proprietary. Teknologi virtualisasi pada fungsi jaringan atau NFV (Network Function Virtualization) membuat layanan ini dapat diimplementasikan sebagai aplikasi perangkat lunak yang dapat dijalankan di lingkungan virtual atau Virtualized Network Functions (VNFs). Selain menggunakan hypervisor (hardware-level virtualization), teknologi virtualisasi memiliki alternatif pengimplementasian dengan menggunakan teknologi containers (Operating system -level virtualization), salah satunya menggunakan Docker. Penelitian ini mengimplementasikan layanan FTP dan video streaming pada jaringan NFV di Docker Containers. Tanpa backgound traffic, layanan menunjukkan performansi QoS yang memenuhi standarisasi ITU-T G.1010 dengan delay FTP 0,12 ms dan delay video streaming 6,21 ms serta nilai packet loss kedua layanan sebesar 0%. Penggunaan CPU pada Docker ketika layanan dijalankan dibawah 1 %. Kata kunci: Virtualisasi, Containers, Docker, Network Function Virtualization, QoSABSTRACTNetwork infrastructure such as routers, traditionally using proprietary hardware. Virtualization technology on network function or NFV (Network Function Virtualization) makes this service can be implemented as a software application that can run in virtual environment or Virtualized Network Functions (VNFs). In addition to using hypervisor (hardware-level virtualization), virtualization technology has an alternative implementation using containers technology (Operating system-level virtualization), one of them using Docker. This research implements FTP and video streaming services on NFV networks in Docker Containers. Without background traffic, the service demonstrates QoS performance that meets the ITU-T G.1010 standardization with 0.12 ms FTP delay and 6.21 ms video streaming delay and with packet loss value of both services at 0%. CPU usage on Docker when service runs below 1%.Keywords: Virtualization, Containers, Docker, Network Function Virtualization, QoS
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Jawdhari, Hayder A., and Alharith A. Abdullah. "The Application of Network Functions Virtualization on Different Networks, and its New Applications in Blockchain: A Survey." Webology 18, Special Issue 04 (September 30, 2021): 1007–44. http://dx.doi.org/10.14704/web/v18si04/web18179.

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Operators of networks are striving to provide functional network-based services, while keeping the cost of deploying the service to a minimum. Network Function Virtualization (NFV) is considered to be a promising model to modify such employment by separating network functions from the basic hardware properties, after which they are converted into the style of software. These are eventually referred to as Virtual Network Functions (VNFs). This separation offers numerous benefits, including the decrease of Capital Expenditure (CAPEX) and Operation Expense (OPEX), in addition to the enhanced elasticity of service preparation. Network Functions Virtualization (NFV) is found to cause a remarkable development or even a technological revolution in terms of network-based services, leading to a decrease in deployment costs for network operators. NFV reduces hardware tool costs and energy exhaustion, and it improves its operational performance whereby the network configuration is part of this optimization. Even so, there are a number of possible security problems which are the main focus in NFV. The present study surveys the applications and opportunities of NFV in terms of IoT, SDN, cloud computing and blockchain. A description of the NFV architecture is presented, and several possibilities of NFV security issues and challenges are discussed. Finally, a systematic idea is provided on the design of a Blockchain Network Virtualization System.
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Zehra, Sehar, Ummay Faseeha, Hassan Jamil Syed, Fahad Samad, Ashraf Osman Ibrahim, Anas W. Abulfaraj, and Wamda Nagmeldin. "Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey." Sensors 23, no. 11 (June 5, 2023): 5340. http://dx.doi.org/10.3390/s23115340.

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Network function virtualization (NFV) is a rapidly growing technology that enables the virtualization of traditional network hardware components, offering benefits such as cost reduction, increased flexibility, and efficient resource utilization. Moreover, NFV plays a crucial role in sensor and IoT networks by ensuring optimal resource usage and effective network management. However, adopting NFV in these networks also brings security challenges that must promptly and effectively address. This survey paper focuses on exploring the security challenges associated with NFV. It proposes the utilization of anomaly detection techniques as a means to mitigate the potential risks of cyber attacks. The research evaluates the strengths and weaknesses of various machine learning-based algorithms for detecting network-based anomalies in NFV networks. By providing insights into the most efficient algorithm for timely and effective anomaly detection in NFV networks, this study aims to assist network administrators and security professionals in enhancing the security of NFV deployments, thus safeguarding the integrity and performance of sensors and IoT systems.
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Duytam Ly, Le, Mahsa Sadeghi Ghahroudi, and Victor Ponce. "A Systematic Literature Review of Reliable Provisioning for Virtual Network Function Chaining." Applied Sciences 13, no. 9 (April 28, 2023): 5504. http://dx.doi.org/10.3390/app13095504.

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The abstraction of the network node functions using virtualization methods introduced an innovative architecture called Network Function Virtualization (NFV). In NFV, every virtualization software hosts a network service recognized as a Virtual Network Function (VNF). In general, the network provider creates a Service Function Chain (SFC) for every sequence of multiple requested VNFs by the customers. Although NFV allows for a more flexible and economical approach, it is more prone to error and failure. Therefore, providing reliable provisioning for VNF chaining is one of the key issues in NFV. In this paper, we present a systematic literature review to study the pioneer research efforts that provide reliable provisioning for VNF chaining by guaranteeing the availability of the service and resource optimization. Our review is the result of the analysis of 21 screened papers. This paper presents the result of our analysis, including different aspects of a reliable provisioning algorithm, various adopted techniques for reliable provisioning, and the superiority and drawbacks of each algorithm based on the proposed criteria for the evaluation of the provisioning algorithms.
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Callegati, Franco, Walter Cerroni, and Chiara Contoli. "Virtual Networking Performance in OpenStack Platform for Network Function Virtualization." Journal of Electrical and Computer Engineering 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/5249421.

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The emerging Network Function Virtualization (NFV) paradigm, coupled with the highly flexible and programmatic control of network devices offered by Software Defined Networking solutions, enables unprecedented levels of network virtualization that will definitely change the shape of future network architectures, where legacy telco central offices will be replaced by cloud data centers located at the edge. On the one hand, this software-centric evolution of telecommunications will allow network operators to take advantage of the increased flexibility and reduced deployment costs typical of cloud computing. On the other hand, it will pose a number of challenges in terms of virtual network performance and customer isolation. This paper intends to provide some insights on how an open-source cloud computing platform such as OpenStack implements multitenant network virtualization and how it can be used to deploy NFV, focusing in particular on packet forwarding performance issues. To this purpose, a set of experiments is presented that refer to a number of scenarios inspired by the cloud computing and NFV paradigms, considering both single tenant and multitenant scenarios. From the results of the evaluation it is possible to highlight potentials and limitations of running NFV on OpenStack.
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Papavassiliou, Symeon. "Software Defined Networking (SDN) and Network Function Virtualization (NFV)." Future Internet 12, no. 1 (January 2, 2020): 7. http://dx.doi.org/10.3390/fi12010007.

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The role of Software Defined Networking (SDN) and Network Function Virtualization (NFV) have been instrumental in realizing the transition and vision “from black boxes to a white box towards facilitating 5G network architectures”. Though significant research results and several deployments have occurred and realized over the last few years focusing on the NFV and SDN technologies, several issues—both of theoretical and practical importance—remain still open. Accordingly, the papers of this special issue are significant contributions samples within the general ecosystem highlighted above, ranging from SDN and NFV architectures and implementations, to SDN-NFV integration and orchestration approaches, while considering issues associated with optimization, network management and security aspects. In particular, a total of nine excellent articles (one review and eight original research articles) have been accepted, following a rigorous review process, and addressing many of the aforementioned challenges and beyond.
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Elagin, Vasily S., Alexander V. Bogachev, and Ilya A. Belozertsev. "Modeling the estimation of end-to-end packet latency for a chain of NFV nodes in 5G networks." T-Comm 16, no. 3 (2022): 23–30. http://dx.doi.org/10.36724/2072-8735-2022-16-3-23-30.

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It is expected that future communication networks will provide configurable delay-sensitive types of services (for example, streaming video, machine interaction). To support a variety of applications and use cases of servers providing various functions, you can use network function virtualization (NFV), which will be able to provide flexible implementation and placement of configuration of the necessary network functions. This article analyzes the end-to-end packet latency (E2E) for multiple traffic flows passing through the chain of embedded virtual network functions (VNF) in fifth-generation communication networks (5G). The Dominant of Generalized Resource Processing (DR-GPS) is used to distribute computing resources and transfer data between threads in each node of Network Function Virtualization (NFV) to achieve equitable distribution and utilization of available resources. The tandem queuing model is designed for incoming packets combined in several streams passing through the NFV node and its outgoing transmission channel. To analyze manageability, we separate packet processing (and transmission) of various streams in the simulation and determine the average packet processing and transmission rates of each stream as approximate service speeds.
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Raddwan, Basheer, Khalil AL-Wagih, Ibrahim A. Al-Baltah, Mohamed A. Alrshah, and Mohammed A. Al-Maqri. "Path Mapping Approach for Network Function Virtualization Resource Allocation with Network Function Decomposition Support." Symmetry 11, no. 9 (September 16, 2019): 1173. http://dx.doi.org/10.3390/sym11091173.

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Recently, Network Function Virtualization (NFV) and Software Defined Networking (SDN) have attracted many mobile operators. For the flexible deployment of Network Functions (NFs) in an NFV environment, NF decompositions and control/user plane separation have been introduced in the literature. That is to map traditional functions into their corresponding Virtual Network Functions (VNFs). This mapping requires the NFV Resource Allocation (NFV-RA) for multi-path service graphs with a high number of virtual nodes and links, which is a complex NP-hard problem that inherited its complexity from the Virtual Network Embedding (VNE). This paper proposes a new path mapping approach to solving the NFV-RA problem for decomposed Network Service Chains (NSCs). The proposed solution has symmetrically considered optimizing an average embedding cost with an enhancement on average execution time. The proposed approach has been compared to two other existing schemes using 6 and 16 scenarios of short and long simulation runs, respectively. The impact of the number of nodes, links and paths of the service requests on the proposed scheme has been studied by solving more than 122,000 service requests. The proposed Integer Linear Programming (ILP) and heuristic schemes have reduced the execution time up to 39.58% and 6.42% compared to existing ILP and heuristic schemes, respectively. Moreover, the proposed schemes have also reduced the average embedding cost and increased the profit for the service providers.
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Venâncio, Giovanni, Rogério C. Turchetti, and Elias Procópio Duarte Jr. "NFV-COIN: Unleashing The Power of In-Network Computing with Virtualization Technologies." Journal of Internet Services and Applications 12, no. 1 (November 18, 2022): 46–53. http://dx.doi.org/10.5753/jisa.2022.2342.

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Network Functions Virtualization (NFV) allows the implementation in software of middleboxes traditionally available as specialized hardware. Network services can be implemented as SFCs (Service Function Chains) based onvirtualization technologies that run on commodity hardware. Although most virtualized functions have classic middlebox functionalities (e.g. firewalls or intrusion detectors) NFV technology can be used to leverage the networkto provide novel types of services to end-users. Actually, NFV can be very convenient to deploy traditional enduser services in the network, in the paradigm that has been called Computing In the Network (COIN). This articlediscusses the requirements to deploy COIN services using NFV technologies, which we call NFV-COIN. We alsopresent case studies and an NFV-COIN architecture that is compliant with the NFV-MANO reference model.
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Dissertations / Theses on the topic "Network Function Virtualization (NFV)"

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Cho, Daewoong. "Network Function Virtualization (NFV) Resource Management For Low Network Latency." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17256.

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NFV is an emerging network architecture to increase flexibility and agility within operator's networks by placing virtualized services on demand in Cloud data centers (CDCs). One of the main challenges for the NFV environment is how to efficiently allocate Virtual Network Functions (VNFs) to Virtual Machines (VMs) and how to minimize network latency in the rapidly changing network environments. Although a significant amount of work/research has been already conducted for the generic VNF placement problem and VM migration for efficient resource management in CDCs, network latency among various network components and VNF migration problem have not been comprehensively considered yet to the best of our knowledge. Firstly, to address VNF placement problem, we design a more comprehensive model based on real measurements to capture network latency among VNFs with more granularity to optimize placement of VNFs in CDCs. We consider resource demand of VNFs, resource capacity of VMs and network latency among various network components. Our objectives are to minimize both network latency and lead time (the time to find a VM to host a VNF). Experimental results are promising and indicate that our approach, namely VNF Low-Latency Placement (VNF-LLP), can reduce network latency by up to 64.24% compared with two generic algorithms. Furthermore, it has a lower lead time as compared with the VNF Best-Fit Placement algorithm. Secondly, to address VNF migration problem, we i) formulate the VNF migration problem and ii) develop a novel VNF migration algorithm called VNF Real-time Migration (VNF-RM) for lower network latency in dynamically changing resource availability. As a result of experiments, the effectiveness of our algorithm is demonstrated by reducing network latency by up to 59.45% after latency-aware VNF migrations.
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Gao, Meihui. "Models and Methods for Network Function Virtualization (NFV) Architectures." Thesis, Université de Lorraine, 2019. http://www.theses.fr/2019LORR0025/document.

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Avec la croissance exponentielle des demandes de service, les opérateurs ont déployé de nombreux équipements, et par conséquent, la gestion du réseau est devenue de plus en plus difficile et coûteuse. La virtualisation des fonctions réseau (NFV) a été proposée comme un nouveau paradigme pour réduire les coûts liés à l’acquisition et à la maintenance pour les réseaux de télécommunications. Dans ce travail de thèse, nous nous intéressons aux problèmes du chaînage des fonctions virtuelles (VNFs) qui combinent des décisions de localisation des VNFs et de routage des demandes. D'un point de vue d'optimisation, ce problème est une combinaison des problèmes de localisation (pour la partie d'installation des VNFs) et de conception de réseaux (pour la partie de routage). Ces deux problèmes ont été largement étudié dans la littérature. Cependant, leur combinaison représente des divers challenges en termes de modélisation et de résolution. Dans la première partie de cette thèse, nous considérons une version réaliste du problème du chaînage des VNFs (VNF-PR) afin de comprendre l'impact des différents aspects sur les coûts et les performances de gestion du réseau. Dans ce but, nous étendons le travail dans~\cite{Addis2015} en considérant des caractéristiques et des contraintes plus réalistes des infrastructures NFV et nous proposons un modèle de programmation linéaire et une heuristique mathématique pour le résoudre. Dans le but de mieux comprendre la structure du problème et ses propriétés, la deuxième partie de la thèse est orientée vers l'étude théorique du problème, où nous avons étudié une version compacte du problème du chaînage des VNFs. Nous fournissons des résultats sur la complexité de calcul sous divers cas de topologie et de capacité. Ensuite, nous proposons deux modèles et nous les testons sur un testbed avec plus de 100 instances différentes avec différents cas de capacité. Au final, nous abordons la scalabilité du problème en proposant des méthodes constructives et des méthodes heuristiques basées sur la programmation linéaire entière pour traiter efficacement des instances de taille grande (jusqu'à 60 nœuds et 1800 demandes). Nous montrons que les heuristiques proposées sont capables de résoudre efficacement des instances de taille moyenne (avec jusqu'à 30 nœuds et 1 000 demandes) de cas de capacité difficiles et de trouver de bonnes solutions pour les instances dures, où le modèle ne peut fournir aucune solution avec un temps de calcul limité
Due to the exponential growth of service demands, telecommunication networks are populated with a large and increasing variety of proprietary hardware appliances, and this leads to an increase in the cost and the complexity of the network management. To overcome this issue, the NFV paradigm is proposed, which allows dynamically allocating the Virtual Network Functions (VNFs) and therefore obtaining flexible network services provision, thus reducing the capital and operating costs. In this thesis, we focus on the VNF Placement and Routing (VNF-PR) problem, which aims to find the location of the VNFs to allocate optimally resources to serve the demands. From an optimization point of view, the problem can be modeled as the combination of a facility location problem (for the VNF location and server dimensioning) and a network design problem (for the demands routing). Both problems are widely studied in the literature, but their combination represents, to the best of our knowledge, a new challenge. We start working on a realistic VNF-PR problem to understand the impact of different policies on the overall network management cost and performance. To this end, we extend the work in [1] by considering more realistic features and constraints of NFV infrastructures and we propose a linear programming model and a math-heuristic to solve it. In order to better understand the problem structure and its properties, in the second part of our work, we focus on the theoretical study of the problem by extracting a simplified, yet significant variant. We provide results on the computational complexity under different graph topology and capacity cases. Then, we propose two mathematical programming formulations and we test them on a common testbed with more than 100 different test instances under different capacity settings. Finally, we address the scalability issue by proposing ILP-based constructive methods and heuristics to efficiently deal with large size instances (with up to 60 nodes and 1800 demands). We show that our proposed heuristics can efficiently solve medium size instances (with up to 30 nodes and 1000 demands) of challenging capacity cases and provide feasible solutions for large size instances of the most difficult capacity cases, for which the models cannot find any solution even with a significant computational time
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Gao, Meihui. "Models and Methods for Network Function Virtualization (NFV) Architectures." Electronic Thesis or Diss., Université de Lorraine, 2019. http://www.theses.fr/2019LORR0025.

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Avec la croissance exponentielle des demandes de service, les opérateurs ont déployé de nombreux équipements, et par conséquent, la gestion du réseau est devenue de plus en plus difficile et coûteuse. La virtualisation des fonctions réseau (NFV) a été proposée comme un nouveau paradigme pour réduire les coûts liés à l’acquisition et à la maintenance pour les réseaux de télécommunications. Dans ce travail de thèse, nous nous intéressons aux problèmes du chaînage des fonctions virtuelles (VNFs) qui combinent des décisions de localisation des VNFs et de routage des demandes. D'un point de vue d'optimisation, ce problème est une combinaison des problèmes de localisation (pour la partie d'installation des VNFs) et de conception de réseaux (pour la partie de routage). Ces deux problèmes ont été largement étudié dans la littérature. Cependant, leur combinaison représente des divers challenges en termes de modélisation et de résolution. Dans la première partie de cette thèse, nous considérons une version réaliste du problème du chaînage des VNFs (VNF-PR) afin de comprendre l'impact des différents aspects sur les coûts et les performances de gestion du réseau. Dans ce but, nous étendons le travail dans~\cite{Addis2015} en considérant des caractéristiques et des contraintes plus réalistes des infrastructures NFV et nous proposons un modèle de programmation linéaire et une heuristique mathématique pour le résoudre. Dans le but de mieux comprendre la structure du problème et ses propriétés, la deuxième partie de la thèse est orientée vers l'étude théorique du problème, où nous avons étudié une version compacte du problème du chaînage des VNFs. Nous fournissons des résultats sur la complexité de calcul sous divers cas de topologie et de capacité. Ensuite, nous proposons deux modèles et nous les testons sur un testbed avec plus de 100 instances différentes avec différents cas de capacité. Au final, nous abordons la scalabilité du problème en proposant des méthodes constructives et des méthodes heuristiques basées sur la programmation linéaire entière pour traiter efficacement des instances de taille grande (jusqu'à 60 nœuds et 1800 demandes). Nous montrons que les heuristiques proposées sont capables de résoudre efficacement des instances de taille moyenne (avec jusqu'à 30 nœuds et 1 000 demandes) de cas de capacité difficiles et de trouver de bonnes solutions pour les instances dures, où le modèle ne peut fournir aucune solution avec un temps de calcul limité
Due to the exponential growth of service demands, telecommunication networks are populated with a large and increasing variety of proprietary hardware appliances, and this leads to an increase in the cost and the complexity of the network management. To overcome this issue, the NFV paradigm is proposed, which allows dynamically allocating the Virtual Network Functions (VNFs) and therefore obtaining flexible network services provision, thus reducing the capital and operating costs. In this thesis, we focus on the VNF Placement and Routing (VNF-PR) problem, which aims to find the location of the VNFs to allocate optimally resources to serve the demands. From an optimization point of view, the problem can be modeled as the combination of a facility location problem (for the VNF location and server dimensioning) and a network design problem (for the demands routing). Both problems are widely studied in the literature, but their combination represents, to the best of our knowledge, a new challenge. We start working on a realistic VNF-PR problem to understand the impact of different policies on the overall network management cost and performance. To this end, we extend the work in [1] by considering more realistic features and constraints of NFV infrastructures and we propose a linear programming model and a math-heuristic to solve it. In order to better understand the problem structure and its properties, in the second part of our work, we focus on the theoretical study of the problem by extracting a simplified, yet significant variant. We provide results on the computational complexity under different graph topology and capacity cases. Then, we propose two mathematical programming formulations and we test them on a common testbed with more than 100 different test instances under different capacity settings. Finally, we address the scalability issue by proposing ILP-based constructive methods and heuristics to efficiently deal with large size instances (with up to 60 nodes and 1800 demands). We show that our proposed heuristics can efficiently solve medium size instances (with up to 30 nodes and 1000 demands) of challenging capacity cases and provide feasible solutions for large size instances of the most difficult capacity cases, for which the models cannot find any solution even with a significant computational time
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Sällberg, Kristian. "A Data Model Driven Approach to Managing Network Functions Virtualization : Aiding Network Operators in Provisioning and Configuring Network Functions." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171233.

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This master’s thesis explains why certain network services are difficult to provision and configure using IT automation and cloud orchestration software. An improvement is proposed and motivated. This proposed improvement enables network operators to define a set of data models describing how to provision and interconnect a set of Virtual Network Functions (VNFs) (and possibly existing physical network functions) to form networks. Moreover, the proposed solution enables network operators to change the configuration at runtime. The work can be seen as a step towards self managing and auto scaling networks. The proposed approach is compared to a well known cloud management system (OpenStack) in order to evaluate if the proposed approach decreases the amount of time needed for network operators to design network topologies and services containing VNFs. Data is collected through observations of network operators, interviews, and experiment. Analysis of this data shows that the proposed approach can decrease the amount of time required for network operators to design network topologies and services. This applies if the network operators are already acquainted with the data modeling language YANG. The amount of time required to provision VNFs so that they respond to connections can also be decreased using the proposed approach. The proposed approach does not offer as much functionality as OpenStack, as it is limited to VNF scenarios.
Denna masteruppsats förklarar varför vissa nätverkstjänster är svåra att skapa och konfigurera med IT-automationsverktyg och mjukvara för molnorkestrering.  En förbättring föreslås och motiveras. Den föreslagna förbättringen tillåter nätverksoperatörer att definiera en mängd datamodeller, för att beskriva hur Virtuella Nätverksfunktioner (VNF:er) skall instantieras och kopplas ihop till nätverkstjänster. Dessutom tillåter lösningen nätverksoperatörer att ändra konfiguration under tiden nätverken hanterar trafik.  Arbetet kan ses som ett steg mot självhanterande och automatiskt skalande nätverk. Den föreslagna lösningen jämförs med ett välkänt molnorkestreringsverktyg (OpenStack) för att utvärdera om den föreslagna lösningen sänker mängden tid som nätverksoperatörer behöver för att designa nätverkstopologier och tjänster som innehåller VNF:er. Data samlas in genom observationer av nätverksoperatörer, intervjuer, och experiment. Analys av datan visar att den föreslagna lösningen kan minska tiden som behövs för att designa nätverkstopologier och tjänster. Fallen där detta är applicerbart, är när VNF:er närvarar i nätverk. Dessa är enklare att skapa, konfigurera, och ändra under tiden de exekverar, med den föreslagna metoden. Detta kräver också att nätverksoperatören är bekant med datamodelleringsspråket YANG. Tiden det tar att provisionera VNF:er, tills dess att de svarar till anslutningar, kan sänkas med hjälp av den föreslagna metoden. Den förslagna metoden erbjuder väsentligt begränsad funktionalitet jämfört med OpenStack, den fokuserar på att hantera VNF:er.
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Cilloni, Marco. "Design and Implementation of an ETSI Network Function Virtualization-compliant Container Orchestrator." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13373/.

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La Network Function Virtualisation (NFV) è la principale forza dietro la migrazione delle infrastrutture dei provider di reti verso sistemi distribuiti cloud, fornendo un innovativo approccio al design di architetture di reti di telecomunicazioni che permette un completo disaccoppiamento dei servizi offerti dalla rete dai dispositivi fisici e gli apparati su cui essi risiedono attraverso la loro completa virtualizzazione. L’uso di VNF, blocchi logici in grado di rappresentare le funzionalità e i servizi forniti dall’infrastruttura come elementi virtuali, permette alle Network Functions di essere agevolmente rilocate in data centers prossimi agli utenti finali dei servizi che offrono, evitando i pesanti costi in personale ed apparecchiature coinvolti nel caso dei dispositivi fisici. ETSI NFV fornisce linee guida ed architetture volte al supportare l’amministrazione ed orchestrazione (MANO) di apparati virtualizzati, sfruttando le infrastrutture fornite da Virtual Infrastructure Managers (VIM). Questa tesi ha affrontato le modalità con cui un framework NFV esistente, come Open Baton, possa essere esteso per sfruttare appieno le capacità fornite da sistemi di containerizzazione come Docker, realizzando i componenti e concetti necessari per offrire una infrastruttura NFV (NFVI) altamente scalabile e cloud-ready. Il prototipo di VIM basato su Docker e i relativi componenti MANO sviluppati durante questa tesi sono stati pensati per essere il più possibile indipendenti fra loro, per mantenere il sistema riusabile ed aperto ad estensioni future. L’analisi compiuta sulla soluzione per l’orchestrazione di container NFV basata su Docker creata durante lo step implementativo della tesi ha mostrato risultati molto positivi riguardo l’overhead sull’utilizzo di risorse di memoria e di storage da parte delle istanze di VNF basate su container.
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Miotto, Gustavo. "NFV-PEAR : posicionamento e encadeamento adaptativo de funções virtuais de rede." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/178675.

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O projeto de mecanismos flexíveis e eficientes para o posicionamento e encadeamento de funções virtualizadas de rede (VNFs) é essencial para o sucesso de Virtualização de Funções de Rede (Network Function Virtualization, NFV). A maioria das soluções existentes, no entanto, considera custos fixos (e imutáveis) de processamento de fluxos e de largura de banda ao posicionar as VNFs em Pontos de Presença da Rede (N-PoPs). Essa limitação torna-se crítica em redes NFV com fluxos cujos comportamentos são altamente dinâmicos e nas quais os requisitos de processamento e os recursos disponíveis nos NPoPs mudam constantemente. Para preencher essa lacuna, propõe-se o NFV-PEAR, uma plataforma para o posicionamento e encadeamento adaptativo de VNFs. O NFV-PEAR visa (re)organizar periodicamente os posicionamentos e encadeamentos de VNFs previamente determinados, objetivando-se manter um desempenho fim-a-fim aceitável mesmo durante flutuações nos custos de processamento e nos requisitos dos fluxos. Paralelamente, busca-se minimizar as mudanças na rede (por exemplo, a realocação de VNFs ou de fluxos) realizadas para cumprir esse objetivo. Os resultados obtidos, a partir de uma avaliação experimental, mostram que o NFV-PEAR tem potencial para reduzir significativamente o número de mudanças na rede necessárias para assegurar o desempenho fim-a-fim esperado para os fluxos, garantindo assim o funcionamento estável dos serviços.
The design of flexible and efficient mechanisms for proper placement and chaining of virtual network functions (VNFs) is key for the success of Network Function Virtualization (NFV). Most state-of-the-art solutions, however, consider fixed (and immutable) flow processing and bandwidth requirements when placing VNFs in the Network Points of Presence (N-PoPs). This limitation becomes critical in NFV-enabled networks having highly dynamic flow behavior, and in which flow processing requirements and available N-PoP resources change constantly. To bridge this gap, we present NFV-PEAR, a platform for adaptive VNF placement and chaining. In NFV-PEAR, network operators may periodically (re)arrange previously determined placement and chaining of VNFs, with the goal of maintaining acceptable end-to-end flow performance despite fluctuations of flow processing costs and requirements. In parallel, NFV-PEAR seeks to minimize network changes (e.g., reallocation of VNFs or network flows). The results obtained from an experimental evaluation provide evidence that NFV-PEAR has potential to deliver more stable operation of network services, while significantly reducing the number of network changes required to ensure end-to-end flow performance.
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Car, Mario. "OpenStack service function chaining interface." Master's thesis, Universidade de Aveiro, 2015. http://hdl.handle.net/10773/18737.

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Mestrado em Engenharia Eletrónica e Telecomunicações
OpenStack is a free and open-source cloud computing software platform. It is seen as a major technology enabler for the future of telecommunications. OpenStack eases the creation of virtualization environments, and is seen as a major technology for the development of network function virtualization (NFV). Currently, OpenStack is developing the use cases and the code for service function virtualization, but the higher layer management aspects are not being considered. This dissertation will address this challenge, and will work on the creation of an interface for a simple usage of the NFV functions, enabling the network manager to build services by concatenation of graphical elements. The Application Programming Interfaces that are currently being developed will be analyzed and a simple web interface to explore theirs potentialities will be created.
O OpenStack é uma plataforma livre e open-source de cloud computing. É visto como uma importante tecnologia no futuro das telecomunicações. O OpenStack facilita a criação de ambientes de virtualização e é visto como uma grande tecnologia para o desenvolvimento da virtualização de funções de rede (NFV). Atualmente, a fundacão OpenStack está a desenvolver os casos de uso e o código para a virtualização funções de serviço, mas os aspectos das camadas mais elevadas de gestão não estão a ser considerados. Esta dissertação vai enfrentar este desafio, e vai trabalhar na criação de uma interface para um uso simples do NFV, permitindo que o operador de rede construa serviços por concatenação de elementos gráficos. As interfaces de programação de aplicações que estão actualmente a ser desenvolvidas serão analisadas e uma interface web simples para explorar potencialidades das mesmas será criada.
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Franco, Muriel Figueredo. "Interactive visualizations for management of NFV-enabled networks." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/158202.

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A Virtualização de Funções de Rede (Network Functions Virtualization - NFV) está mudando o paradigma das redes de telecomunicações. Esta nova tecnologia permite diversas oportunidades de inovações e possibilita o desenvolvimento de novos modelos de negócio. Em relação às redes NFV, os provedores de serviços têm a oportunidade de criar modelos de negócio que permitam aos clientes contratarem Funções de Rede Virtualizadas (Virtual Network Functions - VNFs) que proveem diferentes serviços de rede (e.g., Firewall, NAT e transcoders). Porém, nestes modelos, a quantidade de informações a serem gerenciadas cresce rapidamente. Baseado nisso, os operadores de rede devem ser capazes de entender e manipular uma grande quantidade de informação para gerenciar, de forma efetiva, as redes NFV. Para enfrentar esse problema, introduzimos uma plataforma de visualização denominada VISION, a qual tem como principal objetivo ajudar os operadores de rede na identificação da causa raiz de problemas em NFV. Para isso, propusemos: (i) uma abordagem para coleta e organização de dados do ambiente NFV gerenciado; (ii) cinco diferentes visualizações que auxiliam nas tarefas de gerenciamento de NFV como, por exemplo, no processo de identificação de problemas em VNFs e no planejamento de negócios e (iii) um modelo baseado em templates que suporta o desenvolvimento e o reuso de visualizações. Para fins de avaliação desta dissertação, foi desenvolvido um protótipo da plataforma VISION e de todas as visualizações propostas. Após, conduzimos um conjunto de casos de estudo para prover evidências sobre a viabilidade e utilidade de nossas visualizações. Os diferentes casos analisados, abordam por exemplo, a identificação de problemas na alocação de VNFs que estão impactando no desempenho do serviço oferecido e também na investigação de prioridades de investimento para suprir as demandas dos clientes da rede. Por fim, apresentamos uma avaliação de usabilidade realizada juntamente a especialistas em redes de computadores para avaliar os recursos e benefícios da plataforma VISION. Os resultados obtidos demonstram que nossas visualizações possibilitam ao operador de rede um rápido e fácil acesso às informações importantes para o gerenciamento de redes NFV, assim facilitando a obtenção de insights para a identificação de problemas complexos no contexto de redes NFV. Além disso, os resultados demonstram uma avaliação positiva por especialistas sobre os aspectos gerais de usabilidade do protótipo desenvolvido.
Network Functions Virtualization (NFV) is driving a paradigm shift in telecommunications networks and computer networks, by fostering new business models and creating innovation opportunities. In NFV-enabled networks, service providers have the opportunity to build a business model where tenants can purchase Virtual Network Functions (VNFs) that provide distinct network services and functions (e.g., Firewall, NAT, and transcoders). However, the amount of managed data grows in a fast pace. The network operator must understand and manipulate many data to effectively manage the network. To tackle this problem, we introduce VISION, a platform based on visualizations techniques to help network operators to determine the cause of not obvious problems. For this, we provide: (i) an approach to collect and organize data from the NFV environments; (ii) five distinct visualizations that can aid in NFV management tasks, such as in the process of identifying VNFs problems and planning of NFV-enabled businesses; and (iii) a template model that supports new visualization applications. To evaluate our work, we implemented a prototype of VISION platform and each of the proposed visualizations. We then conducted distinct case studies to provide evidence of the feasibility of our visualizations. These case studies cover different scenarios, such as the identification of misplacement of VNFs that are generating bottlenecks in a forwarding graph and the investigation of investment priorities to supply tenants demands. Finally, we present a usability evaluation with network operators to indicate the benefits of the VISION platform. The results obtained show that our visualizations allow the operator to access relevant information and have insights to identify not obvious problems in the context of NFV-enabled networks. In addition, we received positive feedback about general usability aspects related to our prototype.
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Aimi, Leonardo. "Orchestrazione di Risorse Distribuite in Scenari Network Function Virtualization e Software Defined Networking Integrati." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Software-defined Networking (SDN) e Network Function Virtualization (NFV) sono due modelli che negli ultimi anni hanno contribuito a rivoluzionare il modo con cui gli operatori di rete organizzano le proprie architetture. SDN propone una separazione del livello di controllo da quello architetturale avvalendosi di protocolli aperti e standard, come OpenFlow, per permettere la comunicazione tra i dispositivi di rete, privati di logica e intelligenza, con un controller di più alto livello, arricchito di funzionalità e con una visione globale della topologia di rete. NFV si basa sul concetto di virtualizzazione permettendo un completo disaccoppiamento tra i servizi di rete offerti da un operatore ed i dispositivi hardware su cui questi vengono installati ed eseguiti. L'obiettivo di questa tesi è quello di delineare un modello di integrazione tra SDN e NFV per l'orchestrazione di risorse di rete distribuite. Si vuole così creare un testbed architetturale mediante software open source come ONOS e Mininet tenendo in considerazione i limiti ed i requisiti di SDN e NFV all'interno di uno scenario di rete simulato.
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AVINO, GIUSEPPE. "Development and Performance Evaluation of Network Function Virtualization Services in 5G Multi-Access Edge Computing." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2875737.

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Books on the topic "Network Function Virtualization (NFV)"

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Yang, Song, Nan He, Fan Li, and Xiaoming Fu. Resource Allocation in Network Function Virtualization. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-4815-2.

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Zhang, Ying. Network Function Virtualization: Concepts and Applicability in 5G Networks. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119390633.

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2022 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV SDN). IEEE, 2022.

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Staff, IEEE. 2021 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV SDN). IEEE, 2021.

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Shah, Paresh, Rajendra Chayapathi, and Syed Hassan. Network Functions Virtualization (NFV) with a Touch of SDN. Pearson Education, Limited, 2016.

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Shah, Paresh, Rajendra Chayapathi, and Syed Hassan. Network Functions Virtualization (NFV) with a Touch of SDN. Pearson Education, Limited, 2016.

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SDN and NFV Simplified: A Visual Guide to Understanding Software Defined Networks and Network Function Virtualization. Addison-Wesley Professional, 2016.

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Doherty, Jim. SDN and NFV Simplified: A Visual Guide to Understanding Software Defined Networks and Network Function Virtualization. Addison-Wesley Longman, Incorporated, 2016.

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Doherty, Jim. SDN and NFV Simplified: A Visual Guide to Understanding Software Defined Networks and Network Function Virtualization. Addison-Wesley Longman, Incorporated, 2016.

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SDN and NFV Security: Security Analysis of Software-Defined Networking and Network Function Virtualization. Springer, 2018.

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Book chapters on the topic "Network Function Virtualization (NFV)"

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Yang, Song, Nan He, Fan Li, and Xiaoming Fu. "A-DDPG: Attention Mechanism-Based Deep Reinforcement Learning for NFV." In Resource Allocation in Network Function Virtualization, 107–28. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4815-2_6.

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Yang, Song, Nan He, Fan Li, and Xiaoming Fu. "Delay-Sensitive and Availability-Aware Virtual Network Function Scheduling for NFV." In Resource Allocation in Network Function Virtualization, 55–81. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4815-2_4.

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Kim, Hyuncheol. "Network Function Virtualization (NFV) Platform for Wellness in High-Speed Network." In Lecture Notes in Electrical Engineering, 1459–64. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0557-2_140.

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Kim, Hyuncheol. "Revised Virtual Resources Allocation Scheme in Network Function Virtualization (NFV) Enabled Networks." In Mobile and Wireless Technologies 2017, 417–23. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5281-1_45.

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Yan, Junzhi, Bo Yang, Li Su, Shen He, and Ning Dong. "Decentralized Certificate Management for Network Function Virtualization (NFV) Implementation in 5G Networks." In Mobile Multimedia Communications, 81–93. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89814-4_6.

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Banafa, Ahmed. "Network Functions Virtualization (NFV) or Software-Defined Networking (SDN)?" In Quantum Computing and Other Transformative Technologies, 97–100. New York: River Publishers, 2023. http://dx.doi.org/10.1201/9781003339175-24.

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Troia, Sebastian. "Machine-Learning Defined Networking: Towards Intelligent Networks." In Special Topics in Information Technology, 3–12. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62476-7_1.

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AbstractWith the advent of 5G technology and an ever-increasing traffic demand, today Communication Service Providers (CSPs) experience a progressive congestion of their networks. The operational complexity, the use of manual configuration, the static nature of current technologies together with fast-changing traffic profiles lead to: inefficient network utilization, over-provisioning of resources and very high Capital Expenditures (CapEx) and Operational Expenses (OpEx). This situation is forcing the CSPs to change their underlying network technologies, and have started to look at new technological solutions that increase the level of programmability, control, and flexibility of configuration, while reducing the overall costs related to network operations. Software Define Networking (SDN), Network Function Virtualization (NFV) and Machine Learning (ML) are accepted as effective solutions to reduce CapEx and OpEx and to boost network innovation. This chapter summarizes the content of my Ph.D. thesis, by presenting new ML-based approaches in order to efficiently optimize resources in 5G metro-core SDN/NFV networks. The main goal is to provide the modern CSP with intelligent and dynamic network optimization tools in order to address the requirements of increasing traffic demand and 5G technology.
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Alhebaishi, Nawaf, Lingyu Wang, and Sushil Jajodia. "Modeling and Mitigating Security Threats in Network Functions Virtualization (NFV)." In Data and Applications Security and Privacy XXXIV, 3–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49669-2_1.

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Prasad, Jayashree R., Shailesh P. Bendale, and Rajesh S. Prasad. "Semantic Internet of Things (IoT) Interoperability Using Software Defined Network (SDN) and Network Function Virtualization (NFV)." In Semantic IoT: Theory and Applications, 399–415. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64619-6_18.

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Tikhe, Gajanan N., and Pushpinder Singh Patheja. "Mitigation of Distributed Denial of Service (DDoS) Attack Using Network Function Virtualization (NFV)—A Survey." In Security, Privacy and Data Analytics, 311–17. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3569-7_22.

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Conference papers on the topic "Network Function Virtualization (NFV)"

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Castillo-Lema, José, Augusto José Venâncio Neto, Flavio de Oliveira Silva, and Sergio Takeo Kofuji. "Network Function Virtualization in Content-Centric Networks." In X Workshop de Pesquisa Experimental da Internet do Futuro. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/wpeif.2019.7696.

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Network Functions Virtualization (NFV) offers an alternative way to design, deploy, and manage networking functions and services by leveraging virtualization technologies to consolidate network functions into general-purpose hardware platforms. On the past years extensive effort has been made to evolve and mature NFV tecnologies over IP networks. However, little or no attempts at all have been made to incorporate NFV into Information-Centric Networks (ICN). This work explores the use and implementation of virtual Network Funtions (VNFS)in Content-Centric Networks (CCN), and proposes the use of the Named Function Networking (NFN) paradigm as means to implement network functions and services in this kind of networks, distributing the network functions and services through the networks nodes and providing flexibility to dynamically place functions in the network as required and without the need of a central controller.
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"NFV-SDN Doctoral Symposium." In 2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2020. http://dx.doi.org/10.1109/nfv-sdn50289.2020.9289878.

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"NFV-SDN 2018 Program." In 2018 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2018. http://dx.doi.org/10.1109/nfv-sdn.2018.8725677.

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"NFV-SDN 2018 Committees." In 2018 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2018. http://dx.doi.org/10.1109/nfv-sdn.2018.8725716.

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"NFV-SDN 2019 Welcome." In 2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2019. http://dx.doi.org/10.1109/nfv-sdn47374.2019.9040107.

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"NFV-SDN Doctoral Symposium." In 2022 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2022. http://dx.doi.org/10.1109/nfv-sdn56302.2022.9974763.

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"NFV-SDN Doctoral Symposium." In 2023 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2023. http://dx.doi.org/10.1109/nfv-sdn59219.2023.10329739.

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"NFV-SDN Doctoral Symposium." In 2021 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2021. http://dx.doi.org/10.1109/nfv-sdn53031.2021.9665008.

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Jalalitabar, Maryam, Yang Wang, and Xiaojun Cao. "Branching-Aware Service Function Placement and Routing in Network Function Virtualization." In 2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2019. http://dx.doi.org/10.1109/nfv-sdn47374.2019.9039981.

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Zhang, Yang, and Zhi-Li Zhang. "Enhancing Performance, Security, and Management in Network Function Virtualization." In 2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2020. http://dx.doi.org/10.1109/nfv-sdn50289.2020.9289888.

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