Статті в журналах з теми "Virtualization of network functions"

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1

MAKSYMYUK, Taras, Volodymyr ANDRUSHCHAK, Stepan DUMYCH, Bohdan SHUBYN, Gabriel BUGÁR, and Juraj GAZDA. "BLOCKCHAIN-BASED NETWORK FUNCTIONS VIRTUALIZATION FOR 5G NETWORK SLICING." Acta Electrotechnica et Informatica 20, no. 4 (January 21, 2021): 54–59. http://dx.doi.org/10.15546/aeei-2020-0026.

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The paper proposes a new blockchain-based network architecture for 5G network functions virtualization. By using a combination of AI and blockchain technologies, proposed system provides flexible network deployment, interoperability between different mobile network operators and effective management of radio resources. Experimental testbed of the proposed system has been implemented by using cloud and edge computing infrastructure and software defined radio peripheral NI USRP 2900. Simulation results of the network slicing and radio resource management shows that proposed system is able to double the capacity of the physical network infrastructure, while ensuring the target quality of service for all users.
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2

Gil Herrera, Juliver de Jesus, and Juan Felipe Botero Vega. "Network Functions Virtualization: A Survey." IEEE Latin America Transactions 14, no. 2 (February 2016): 983–97. http://dx.doi.org/10.1109/tla.2016.7437249.

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3

Chatras, Bruno, and François Frédéric Ozog. "Network functions virtualization: the portability challenge." IEEE Network 30, no. 4 (July 2016): 4–8. http://dx.doi.org/10.1109/mnet.2016.7513857.

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4

Daghmehchi Firoozjaei, Mahdi, Jaehoon (Paul) Jeong, Hoon Ko, and Hyoungshick Kim. "Security challenges with network functions virtualization." Future Generation Computer Systems 67 (February 2017): 315–24. http://dx.doi.org/10.1016/j.future.2016.07.002.

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5

Niedermeier, Michael, and Hermann de Meer. "Constructing Dependable Smart Grid Networks using Network Functions Virtualization." Journal of Network and Systems Management 24, no. 3 (April 22, 2016): 449–69. http://dx.doi.org/10.1007/s10922-016-9380-1.

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6

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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7

Miyamura, Takashi, Akira Misawa, and Jun-ichi Kani. "Highly efficient optical aggregation network with network functions virtualization." International Journal of Network Management 29, no. 2 (November 11, 2018): e2052. http://dx.doi.org/10.1002/nem.2052.

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8

Pencheva, Evelina, Ivaylo Atanasov, and Ventsislav Trifonov. "Towards Intelligent, Programmable, and Open Railway Networks." Applied Sciences 12, no. 8 (April 17, 2022): 4062. http://dx.doi.org/10.3390/app12084062.

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The virtualization and automation of network functions will be key features of future high-speed railway networks, which have to provide dependable, safe, and secure services. The virtualization of railway network functions will enable functions such as train control, train integrity protection, shunting control, and trackside monitoring and maintenance to be virtualized and to be run on general-purpose hardware. Network function virtualization combined with edge computing can deliver dynamic, low-latency, and reliable services. The automation of railway operations can be achieved by embedding intelligence into the network to optimize the railway operation performance and to enhance the passenger experience. This paper presents an innovative railway network architecture that features distributed intelligence, function cloudification and virtualization, openness, and programmability. The focus is on time-tolerant and time-sensitive intelligent services designed to follow the principles of service-oriented architecture. The interaction between identified logical identities is illustrated by use cases. The paper provides some details of the design of the interface between distributed intelligent services and presents the results of an emulation of the interface performance.
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9

Ma, Shicong, Baosheng Wang, Xiaozhe Zhang, and Xianming Gao. "ApplianceBricks: a scalable network appliance architecture for network functions virtualization." China Communications 13, Supplement 1 (2016): 32–42. http://dx.doi.org/10.1109/cc.0.7560893.

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10

Mijumbi, Rashid, Joan Serrat, Juan-luis Gorricho, Steven Latre, Marinos Charalambides, and Diego Lopez. "Management and orchestration challenges in network functions virtualization." IEEE Communications Magazine 54, no. 1 (January 2016): 98–105. http://dx.doi.org/10.1109/mcom.2016.7378433.

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11

Wang, Chengwei, Oliver Spatscheck, Vijay Gopalakrishnan, Yang Xu, and David Applegate. "Toward High-Performance and Scalable Network Functions Virtualization." IEEE Internet Computing 20, no. 6 (November 2016): 10–20. http://dx.doi.org/10.1109/mic.2016.111.

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12

Parmanand, Prabha, and Umar Syed. "Network Functions Virtualization: Challenges and Opportunities for Innovations." International Journal of Innovative Technology and Exploring Engineering 10, no. 5 (March 30, 2021): 64–69. http://dx.doi.org/10.35940/ijitee.d8483.0310521.

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Network Functions Virtualization (NFV) was at the latest introduced to reform the suppleness of mechanism handling provisional and extenuate stress the time to bazaar of new handling. By leveraged virtualization processing and mercantile off-the recess schedule hardware, such as obscure motivation handling, store and button, NFV the software execution of mechanism festival and features from the basic hardware. As an supervene processing, NFV fetch diverse defiance to mechanism manipulator, such as the warranty of mechanism execution for factual appliance, their movable appliance and dwelling abroad, and their verseed placing. In this document, we bestow a concise inspection supervision of NFV, decode its Importance analysis and architectonic structure, current handling use location and debate the defiance and pending quarter for use in this investigation domain.
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13

Kovalenko, V., A. A. Alzaghir, and A. Muthanna. "Building a UAV network with support for SDN / NFV technologies." Telecom IT 8, no. 3 (September 30, 2020): 71–85. http://dx.doi.org/10.31854/2307-1303-2020-8-3-71-85.

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Research Subject - integration of software-defined networks (SDN) and network functions virtualization (NFV) technologies in the unmanned aerial vehicle networks. Method – analysis of standards and recommendations in the field of SDN, NFV technologies and construction of UAV networks. Core results – presents the main advantages of introducing SDN and NFV technologies into the UAV networks, two ways of organizing the UAV network architecture with SDN technology support: when the Base Station performs the functions of an SDN controller, and when air baluns are used as SDN controllers. This paper also compared the technologies of software-defined networking and virtualization of network functions. Practical relevance – this paper provides a detailed description of the structure and application possibilities of UAV networks, functional diagrams of SDN and NFV. The network architectures presented in this paper using SDN controllers in the flying (air balloon) and ground (Base stations) segment are examples of the implementation of SDN technology in a UAV network.of SDN and NFV technologies, and also considers the application of these technologies in UAV networks.
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14

Kochyn, V. P., and A. V. Zherelo. "VIRTUALIZATION OF THE NETWORK INFRASTRUCTURE OF BELARUSIAN STATE UNIVERSITY." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 194 (August 2020): 45–51. http://dx.doi.org/10.14489/vkit.2020.08.pp.045-051.

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The article discusses current issues of virtualization of the network infrastructure of educational institutions. A new approach to creating a cloud virtualization environment for the network infrastructure of educational institution has been proposed. It is based on the joint use of virtualization technologies and software-defined networks. Virtual network infrastructure is a combination of technologies and architectural solutions. It provides users with mobility during an ongoing educational process, secures access to cloud information resources of the wireless virtual network of an educational institution and centralized Internet access control. A prototype of the virtual network infrastructure of the Belarusian State University has been built. The prototype implements a model that includes virtual network segments (subnets), with which services are provided to end users, and virtual segments that provide presentation of service functions. Virtualization technologies and software-defined networks allow to unify the process of creating network infrastructure, to scale the resources provided on demand with minimal organizational and technical costs, and to adapt the virtual infrastructure to the requirements of a particular educational institution. The proposed model using virtual network segments has been implemented in the data processing center of the Belarusian State University. To create a cloud environment, the solution based on OpenStack was chosen. The basis of the virtualization environment is cloud services, which provide the implementation of the functionality of a virtual network infrastructure.
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15

Kochyn, V. P., and A. V. Zherelo. "VIRTUALIZATION OF THE NETWORK INFRASTRUCTURE OF BELARUSIAN STATE UNIVERSITY." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 194 (August 2020): 45–51. http://dx.doi.org/10.14489/vkit.2020.08.pp.045-051.

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The article discusses current issues of virtualization of the network infrastructure of educational institutions. A new approach to creating a cloud virtualization environment for the network infrastructure of educational institution has been proposed. It is based on the joint use of virtualization technologies and software-defined networks. Virtual network infrastructure is a combination of technologies and architectural solutions. It provides users with mobility during an ongoing educational process, secures access to cloud information resources of the wireless virtual network of an educational institution and centralized Internet access control. A prototype of the virtual network infrastructure of the Belarusian State University has been built. The prototype implements a model that includes virtual network segments (subnets), with which services are provided to end users, and virtual segments that provide presentation of service functions. Virtualization technologies and software-defined networks allow to unify the process of creating network infrastructure, to scale the resources provided on demand with minimal organizational and technical costs, and to adapt the virtual infrastructure to the requirements of a particular educational institution. The proposed model using virtual network segments has been implemented in the data processing center of the Belarusian State University. To create a cloud environment, the solution based on OpenStack was chosen. The basis of the virtualization environment is cloud services, which provide the implementation of the functionality of a virtual network infrastructure.
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16

Hassan, Heba, Amr Al-Awamry, and Mohammed Abdelhalim. "Dragonfly addressing model for software defined networks based on datacenters." International Journal of Engineering & Technology 7, no. 2 (April 30, 2018): 657. http://dx.doi.org/10.14419/ijet.v7i2.9769.

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With the advancement of technology, virtualization has become very important for Information Technology (IT) experts. Network Functions Virtualization (NFV) means to address issues resulting from complex hardware-based appliances by developing standard IT virtualization technologies. Software Defined Networking (SDN) solidifies the advantages of datacenter virtualization, increases resource flexibility and utilization, and reduces infrastructure costs and overhead. Datacenter networks should have the ability to guarantee high throughput and resiliency. For such reasons, typical datacenter networks (e.g. Fat Tree) have been evolved to high-radix networks (e.g. Dragonfly). This work aims to investigate how SDN and NFV can improve the advantages of datacenter virtualization by utilizing datacenter topologies such as Dragonfly (DF) topology and Fat Tree (FT) topology in SDN, thus expanding resource flexibility and utilization and diminishing infrastructure costs and overhead. By using Dragonfly topology, the cost is reduced and better scalability is introduced compared to the folded clos networks such as Fat Tree. Here in, a novel addressing scheme is proposed for Dragonfly topology with simulation results included utilizing Mininet, which incorporates MiniEdit that is used to create and run network simulations.
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17

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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18

Rathore, Muhammad Siraj, Naveed Ahmad, Rashi Kohli, Jawaid Iqbal, Roobaea Alroobaea, Saddam Hussain, Syed Sajid Ullah, and Fazlullah Umar. "In the Direction of Service Guarantees for Virtualized Network Functions." Wireless Communications and Mobile Computing 2022 (May 2, 2022): 1–16. http://dx.doi.org/10.1155/2022/5507845.

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The trend of consolidating network functions from specialized hardware to software running on virtualization servers brings significant advantages for reducing costs and simplifying service deployment. However, virtualization techniques have significant limitations when it comes to networking as there is no support for guaranteeing that network functions meet their service requirements. In this paper, we present a design for providing service guarantees to virtualized network functions based on rate control. The design is a combination of rate regulation through token bucket filters and the regular scheduling mechanisms in operating systems. It has the attractive property that traffic profiles are maintained throughout a series of network functions, which makes it well suited for service function chaining. We discuss implementation alternatives for the design and demonstrate how it can be implemented on two virtualization platforms: LXC containers and the KVM hypervisor. To evaluate the design, we conduct experiments where we measure throughput and latency using IP forwarders (routers) as examples of virtual network functions. Two significant factors for performance are investigated: the design of token buckets and the packet clustering effect that comes from scheduling. Finally, we demonstrate how performance guarantees are achieved for rate-controlled virtual routers under different scenarios.
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19

Rehman, A. U., Rui L. Aguiar, and Joao Paulo Barraca. "Network Functions Virtualization: The Long Road to Commercial Deployments." IEEE Access 7 (2019): 60439–64. http://dx.doi.org/10.1109/access.2019.2915195.

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20

Bruschi, Roberto, Florin Ciucu, and Thomas Zinner. "Application areas and fundamental challenges in Network Functions Virtualization." Computer Networks 154 (May 2019): 26–27. http://dx.doi.org/10.1016/j.comnet.2019.02.016.

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21

Xue, Peilei, and Zhongyuan Jiang. "SecRouting: Secure Routing for Network Functions Virtualization (NFV) Technology." IEEE Transactions on Circuits and Systems II: Express Briefs 69, no. 3 (March 2022): 1727–31. http://dx.doi.org/10.1109/tcsii.2021.3119938.

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22

Xue, Peilei, and Zhongyuan Jiang. "SecRouting: Secure Routing for Network Functions Virtualization (NFV) Technology." IEEE Transactions on Circuits and Systems II: Express Briefs 69, no. 3 (March 2022): 1727–31. http://dx.doi.org/10.1109/tcsii.2021.3119938.

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23

Qureshi, Kashif Naseer, Ejaz Ahmad, Muhammad Anwar, Kayhan Zrar Ghafoor, and Gwanggil Jeon. "Correction to: Network Functions Virtualization for Mobile Core and Heterogeneous Cellular Networks." Wireless Personal Communications 122, no. 3 (November 22, 2021): 2561. http://dx.doi.org/10.1007/s11277-021-09321-2.

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24

Nogales, Borja, Victor Sanchez-Aguero, Ivan Vidal, and Francisco Valera. "Adaptable and Automated Small UAV Deployments via Virtualization." Sensors 18, no. 12 (November 23, 2018): 4116. http://dx.doi.org/10.3390/s18124116.

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In this paper, we present a practical solution to support the adaptable and automated deployment of applications of Small Unmanned Aerial Vehicles (SUAVs). Our solution is based on virtualization technologies, and considers SUAVs as programmable network platforms capable of executing virtual functions and services, which may be dynamically selected according to the requirements specified by the operator of the aerial vehicles. This way, SUAVs can be flexibly and rapidly adapted to different missions with heterogeneous objectives. The design of our solution is based on Network Function Virtualization (NFV) technologies, developed under the umbrella of the fifth generation of mobile networks (5G), as well as on existing Internet protocol standards, including flying ad hoc network routing protocols. We implemented a functional prototype of our solution using well-known open source technologies, and we demonstrated its practical feasibility with the execution of an IP telephony service. This service was implemented as a set of virtualized network functions, which were automatically deployed and interconnected over an infrastructure of SUAVs, being the telephony service tested with real voice-over-IP terminals.
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25

Kadu, Mr N. B. "Availability-Aware Multi-Objective Cluster Allocation Optimization in Energy-Efficient Datacenters." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3498–507. http://dx.doi.org/10.22214/ijraset.2021.35944.

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With increasing network virtualization, data centre's workloads are modified in depth to serve various service-oriented applications, often defined by a time-bound service response, which, in turn, places a heavy demand on data center networks. Network virtualization in computing is the technique of integrating network resources and network functions in hardware and software into one virtual network, the software-based administration entity. Number of people ask for the server simultaneously, thereby slowing down the service.It is so costly to buy a new server that we developed a virtual system by creating a virtual system. With a trend to increase the number of cloud apps in the datacenter. There are numerous physical machines (PMs) linked via switches in the datacenter. Hardware PM resources for adaptable and elastic computing capabilities are usually shared via virtualization technology. Usually a cloud application is implemented in a virtual cluster that includes many virtual machines which occupy PM resources on request.
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26

Thembelihle, Dlamini, Michele Rossi, and Daniele Munaretto. "Softwarization of Mobile Network Functions towards Agile and Energy Efficient 5G Architectures: A Survey." Wireless Communications and Mobile Computing 2017 (2017): 1–21. http://dx.doi.org/10.1155/2017/8618364.

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Future mobile networks (MNs) are required to be flexible with minimal infrastructure complexity, unlike current ones that rely on proprietary network elements to offer their services. Moreover, they are expected to make use of renewable energy to decrease their carbon footprint and of virtualization technologies for improved adaptability and flexibility, thus resulting in green and self-organized systems. In this article, we discuss the application of software defined networking (SDN) and network function virtualization (NFV) technologies towards softwarization of the mobile network functions, taking into account different architectural proposals. In addition, we elaborate on whether mobile edge computing (MEC), a new architectural concept that uses NFV techniques, can enhance communication in 5G cellular networks, reducing latency due to its proximity deployment. Besides discussing existing techniques, expounding their pros and cons and comparing state-of-the-art architectural proposals, we examine the role of machine learning and data mining tools, analyzing their use within fully SDN- and NFV-enabled mobile systems. Finally, we outline the challenges and the open issues related to evolved packet core (EPC) and MEC architectures.
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Sun, Jian, Guanhua Huang, Arun Kumar Sangaiah, Guangyang Zhu, and Xiaojiang Du. "Towards Supporting Security and Privacy for Social IoT Applications: A Network Virtualization Perspective." Security and Communication Networks 2019 (March 14, 2019): 1–15. http://dx.doi.org/10.1155/2019/4074272.

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Network function virtualization (NFV) is a new way to provide services to users in a network. Different from dedicated hardware that realizes the network functions for an IoT application, the network function of an NFV network is executed on general servers, and in order to achieve complete network functions, service function chaining (SFC) chains virtual network functions to work together to support an IoT application. In this paper, we focus on a main challenge in this domain, i.e., resource efficient provisioning for social IoT application oriented SFC requests. We propose an online SFC deployment algorithm based on the layered strategies of physical networks and an evaluation of physical network nodes, which can efficiently reduce bandwidth resource consumption (OSFCD-LSEM) and support the security and privacy of social IoT applications. The results of our simulation show that our proposed algorithm improves the bandwidth carrying rate, time efficiency, and acceptance rate by 50%, 60%, and 15%, respectively.
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28

SUZUKI, Dai, Satoshi IMAI, and Toru KATAGIRI. "Workload Estimation for Firewall Rule Processing on Network Functions Virtualization." IEICE Transactions on Communications E101.B, no. 2 (2018): 528–37. http://dx.doi.org/10.1587/transcom.2017ebt0002.

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Chen, Xiaojing, Wei Ni, Iain B. Collings, Xin Wang, and Shugong Xu. "Automated Function Placement and Online Optimization of Network Functions Virtualization." IEEE Transactions on Communications 67, no. 2 (February 2019): 1225–37. http://dx.doi.org/10.1109/tcomm.2018.2877336.

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30

Li, Liangzhi, Kaoru Ota, and Mianxiong Dong. "DeepNFV: A Lightweight Framework for Intelligent Edge Network Functions Virtualization." IEEE Network 33, no. 1 (January 2019): 136–41. http://dx.doi.org/10.1109/mnet.2018.1700394.

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Raza, Muhammad Taqi, Songwu Lu, and Mario Gerla. "vEPC-sec: Securing LTE Network Functions Virtualization on Public Cloud." IEEE Transactions on Information Forensics and Security 14, no. 12 (December 2019): 3287–97. http://dx.doi.org/10.1109/tifs.2019.2908800.

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32

Mouradian, Carla, Tonmoy Saha, Jagruti Sahoo, Mohammad Abu-Lebdeh, Roch Glitho, Monique Morrow, and Paul Polakos. "Network functions virtualization architecture for gateways for virtualized wireless sensor and actuator networks." IEEE Network 30, no. 3 (May 2016): 72–80. http://dx.doi.org/10.1109/mnet.2016.7474347.

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33

Yang, Chao-Tung, Shuo-Tsung Chen, Jung-Chun Liu, Yao-Yu Yang, Karan Mitra, and Rajiv Ranjan. "Implementation of a real-time network traffic monitoring service with network functions virtualization." Future Generation Computer Systems 93 (April 2019): 687–701. http://dx.doi.org/10.1016/j.future.2018.08.050.

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34

Liu, Mingyue, and Feng Liu. "Research on Optimized Deployment of Virtual Network Functions in Network Function Virtualization Environment." Journal of Physics: Conference Series 1748 (January 2021): 032020. http://dx.doi.org/10.1088/1742-6596/1748/3/032020.

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35

Falahatraftar, Farnoush, Samuel Pierre, and Steven Chamberland. "A Conditional Generative Adversarial Network Based Approach for Network Slicing in Heterogeneous Vehicular Networks." Telecom 2, no. 1 (March 18, 2021): 141–54. http://dx.doi.org/10.3390/telecom2010009.

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Анотація:
Heterogeneous Vehicular Network (HetVNET) is a highly dynamic type of network that changes very quickly. Regarding this feature of HetVNETs and the emerging notion of network slicing in 5G technology, we propose a hybrid intelligent Software-Defined Network (SDN) and Network Functions Virtualization (NFV) based architecture. In this paper, we apply Conditional Generative Adversarial Network (CGAN) to augment the information of successful network scenarios that are related to network congestion and dynamicity. The results show that the proposed CGAN can be trained in order to generate valuable data. The generated data are similar to the real data and they can be used in blueprints of HetVNET slices.
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36

Eramo, Vincenzo, Francesco G. Lavacca, and Tiziana Catena. "Impact of the Maximum Number of Switching Reconfigurations on the Cost Saving in Network Function Virtualization Environments with Elastic Optical Interconnection." Applied Sciences 9, no. 23 (November 28, 2019): 5167. http://dx.doi.org/10.3390/app9235167.

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Анотація:
Network Function Virtualization is based on the virtualization of the network functions and it is a new technology allowing for a more flexible allocation of cloud and bandwidth resources. In order to employ the flexibility of the technology and to adapt its use according to the traffic variation, reconfigurations of the cloud and bandwidth resources are needed by means of both migration of the Virtual Machines executing the network functions and reconfiguration of circuits interconnecting the Virtual Machines. The objective of the paper is to study the impact of the maximum number of switch reconfigurations on the cost saving that the Networking Function Virtualization technology allows us to achieve. The problem is studied in the case of a scenario with an elastic optical network interconnecting datacenters in which the Virtual Machines are executed. The problem can be formulated as an Integer Linear Programming one introducing a constraint on the maximum number of switch reconfigurations but due to its computational complexity we propose a low computational complexity heuristic allowing for results close to the optimization ones. The results show how the limitation on the number of possible reconfigurations has to be taken into account to evaluate the effectiveness in terms of cost saving that the Virtual Machine migrations in Network Function Virtualization environment allows us to achieve.
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37

Baldi, Mario, and Amedeo Sapio. "Network Function Modeling and Performance Estimation." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (October 1, 2018): 3021. http://dx.doi.org/10.11591/ijece.v8i5.pp3021-3037.

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Анотація:
<p>This work introduces a methodology for the modelization of network functions focused on the identification of recurring execution patterns as basic building blocks and aimed at providing a platform independent representation. By mapping each modeling building block on specific hardware, the performance of the network function can be estimated in termsof maximum throughput that the network function can achieve on the specific execution platform. The approach is such that once the basic modeling building blocks have been mapped, the estimate can be computed automatically for any modeled network function. Experimental results on several sample network functions show that although our approach cannot be very accurate without taking in consideration traffic characteristics, it is very valuable for those application where even loose estimates are key. One such example is orchestration in network functions virtualization (NFV) platforms, as well as in general virtualization platforms where virtual machine placement is based also on the performance<br />of network services offered to them. Being able to automatically estimate the performance of a virtualized network function (VNF) on different execution hardware, enables optimal placement of VNFs themselves as well as the virtual hosts they serve, while efficiently utilizing available resources.</p>
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38

Pham, Tuan-Minh, and Hoai-Nam Chu. "Multi-Provider and Multi-Domain Resource Orchestration in Network Functions Virtualization." IEEE Access 7 (2019): 86920–31. http://dx.doi.org/10.1109/access.2019.2926136.

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39

Pham, Tuan-Minh, Serge Fdida, Thi-Thuy-Lien Nguyen, and Hoai-Nam Chu. "Modeling and analysis of robust service composition for network functions virtualization." Computer Networks 166 (January 2020): 106989. http://dx.doi.org/10.1016/j.comnet.2019.106989.

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40

Lee, Sang-Hun, Jong-Seo Kim, Jong-Soo Seok, and Hyun-Wook Jin. "Virtualization of Industrial Real-Time Networks for Containerized Controllers." Sensors 19, no. 20 (October 11, 2019): 4405. http://dx.doi.org/10.3390/s19204405.

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Анотація:
The virtualization technology has a great potential to improve the manageability and scalability of industrial control systems, as it can host and consolidate computing resources very efficiently. There accordingly have been efforts to utilize the virtualization technology for industrial control systems, but the research for virtualization of traditional industrial real-time networks, such as Controller Area Network (CAN), has been done in a very limited scope. Those traditional fieldbuses have distinguished characteristics from well-studied Ethernet-based networks; thus, it is necessary to study how to support their inherent functions transparently and how to guarantee Quality-of-Service (QoS) in virtualized environments. In this paper, we suggest a lightweight CAN virtualization technology for virtual controllers to tackle both functionality and QoS issues. We particularly target the virtual controllers that are containerized with an operating-system(OS)-based virtualization technology. In the functionality aspect, our virtualization technology provides virtual CAN interfaces and virtual CAN buses at the device driver level. In the QoS perspective, we provide a hierarchical real-time scheduler and a simulator, which enable the adjustment of phase offsets of virtual controllers and tasks. The experiment results show that our CAN virtualization has lower overheads than an existing approach up to 20%. Moreover, we show that the worst-case end-to-end delay could be reduced up to 78.7% by adjusting the phase offsets of virtual controllers and tasks.
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41

Hohlfeld, Oliver, Thomas Zinner, Theophilus Benson, and David Hausheer. "Special issue on Software-Defined Networking and Network Functions Virtualization for flexible network management." International Journal of Network Management 26, no. 1 (November 16, 2015): 4–5. http://dx.doi.org/10.1002/nem.1915.

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42

Sahinel, Doruk, Simon Rommel, and Idelfonso Tafur Monroy. "Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review." Applied Sciences 12, no. 1 (December 27, 2021): 221. http://dx.doi.org/10.3390/app12010221.

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Анотація:
Three convergent processes are likely to shape the future of the internet beyond-5G: The convergence of optical and millimeter wave radio networks to boost mobile internet capacity, the convergence of machine learning solutions and communication technologies, and the convergence of virtualized and programmable network management mechanisms towards fully integrated autonomic network resource management. The integration of network virtualization technologies creates the incentive to customize and dynamically manage the resources of a network, making network functions, and storage capabilities at the edge key resources similar to the available bandwidth in network communication channels. Aiming to understand the relationship between resource management, virtualization, and the dense 5G access and fronthaul with an emphasis on converged radio and optical communications, this article presents a review of how resource management solutions have dealt with optimizing millimeter wave radio and optical resources from an autonomic network management perspective. A research agenda is also proposed by identifying current state-of-the-art solutions and the need to shift all the convergent issues towards building an advanced resource management mechanism for beyond-5G.
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43

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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Анотація:
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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44

Blanco, Bego, Ianire Taboada, Jose Oscar Fajardo, and Fidel Liberal. "A Robust Optimization Based Energy-Aware Virtual Network Function Placement Proposal for Small Cell 5G Networks with Mobile Edge Computing Capabilities." Mobile Information Systems 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/2603410.

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Анотація:
In the context of cloud-enabled 5G radio access networks with network function virtualization capabilities, we focus on the virtual network function placement problem for a multitenant cluster of small cells that provide mobile edge computing services. Under an emerging distributed network architecture and hardware infrastructure, we employ cloud-enabled small cells that integrate microservers for virtualization execution, equipped with additional hardware appliances. We develop an energy-aware placement solution using a robust optimization approach based on service demand uncertainty in order to minimize the power consumption in the system constrained by network service latency requirements and infrastructure terms. Then, we discuss the results of the proposed placement mechanism in 5G scenarios that combine several service flavours and robust protection values. Once the impact of the service flavour and robust protection on the global power consumption of the system is analyzed, numerical results indicate that our proposal succeeds in efficiently placing the virtual network functions that compose the network services in the available hardware infrastructure while fulfilling service constraints.
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45

Linguaglossa, Leonardo, Dario Rossi, Salvatore Pontarelli, Dave Barach, Damjan Marjon, and Pierre Pfister. "High-speed data plane and network functions virtualization by vectorizing packet processing." Computer Networks 149 (February 2019): 187–99. http://dx.doi.org/10.1016/j.comnet.2018.11.033.

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46

Kist, Maicon, Juliano Araújo Wickboldt, Lisandro Zambenedetti Granville, Juergen Rochol, Luiz A. DaSilva, and Cristiano Bonato Both. "Flexible fine-grained baseband processing with network functions virtualization: Benefits and impacts." Computer Networks 151 (March 2019): 158–65. http://dx.doi.org/10.1016/j.comnet.2019.01.021.

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47

Dang-Quang, Nhat-Minh, and Myungsik Yoo. "Optimized placement of symmetrical service function chain in network function virtualization." Computer Science and Information Systems, no. 00 (2022): 6. http://dx.doi.org/10.2298/csis210920006d.

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Анотація:
Network function virtualization (NFV) is one of the key technology enablers for actualizing 5G networks. With NFV, virtual network functions (VNFs) are linked together as a service function chain (SFC), which provides network functionality for the customer on demand. However, how to efficiently find a suitable placement for VNFs regarding the given objectives is an extremely difficult issue. The existing approaches assume that the SFC has a simple and asymmetrical pattern that is unsuitable to modeling a real system. We address this limitation by studying a VNF placement optimization problem with symmetrical SFCs that can support both symmetric and asymmetric traffic flows. This NP-hard problem is formulated as a mixed-integer linear programming (MILP) model. An iterative greedy-based heuristic is proposed to overcome the complexity of the MILP model. Extensive simulation results show that the proposed heuristic can obtain a near-optimal solution compared to MILP for a small-scale network, and at the same time, is superior to a traditional heuristic for a large-scale network.
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48

Xu, Ran. "Proactive VNF Scaling with Heterogeneous Cloud Resources: Fusing Long Short-Term Memory Prediction and Cooperative Allocation." Mathematical Problems in Engineering 2020 (January 28, 2020): 1–10. http://dx.doi.org/10.1155/2020/4371056.

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Анотація:
Network function virtualization (NFV) is designed to implement network functions by software that replaces proprietary hardware devices in traditional networks. In response to the growing demand of resource-intensive services, for NFV cloud service providers, software-oriented network functions face a number of challenges, such as dynamic deployment of virtual network functions and efficient allocation of multiple resources. This study aims at the dynamic allocation and adjustment of network multiresources and multitype flows for NFV. First, to seek a proactive approach to provision new instances for overloaded VNFs ahead of time, a model called long short-term memory recurrent neural network (LSTM RNN) is proposed to estimate flows in this paper. Then, based on the estimated flow, a cooperative and complementary resource allocation algorithm is designed to reduce resource fragmentation and improve the utilization. The final results demonstrate the advantage of the LSTM model on predicting the network function flow requirements, and our algorithm achieves good results and performance improvement in dynamically expanding network functions and improving resource utilization.
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49

Kretsis, Aristotelis, Ippokratis Sartzetakis, Polyzois Soumplis, Katerina Mitropoulou, Panagiotis Kokkinos, Petros Nicopolitidis, Georgios Papadimitriou, and Emmanouel Varvarigos. "ARMONIA: A Unified Access and Metro Network Architecture." Applied Sciences 10, no. 23 (November 24, 2020): 8318. http://dx.doi.org/10.3390/app10238318.

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Анотація:
We present a self-configured and unified access and metro network architecture, named ARMONIA. The ARMONIA network monitors its status, and dynamically (re-)optimizes its configuration. ARMONIA leverages software defined networking (SDN) and network functions virtualization (NFV) technologies. These technologies enable the access and metro convergence and the joint and efficient control of the optical and the IP equipment used in these different network segments. Network monitoring information is collected and analyzed utilizing machine learning and big data analytics methods. Dynamic algorithms then decide how to adapt and dynamically optimize the unified network. The ARMONIA network enables unprecedented resource efficiency and provides advanced virtualization services, reducing the capital expenditures (CAPEX) and operating expenses (OPEX) and lowering the barriers for the introduction of new services. We demonstrate the benefits of the ARMONIA network in the context of dynamic resource provisioning of network slices. We observe significant spectrum and equipment savings when compared to static overprovisioning.
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50

Ye, Zhiyong, Yuanchang Zhong, and Yingying Wei. "A Virtual Network Resource Allocation Framework Based on SR-IOV." Applied Sciences 9, no. 1 (January 2, 2019): 137. http://dx.doi.org/10.3390/app9010137.

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Анотація:
The workload of a data center has the characteristics of complexity and requirement variability. However, in reality, the attributes of network workloads are rarely used by resource schedulers. Failure to dynamically schedule network resources according to workload changes inevitably leads to the inability to achieve optimal throughput and performance when allocating network resources. Therefore, there is an urgent need to design a scheduling framework that can be workload-aware and allocate network resources on demand based on network I/O virtualization. However, in the current mainstream I/O virtualization methods, there is no way to provide workload-aware functions while meeting the performance requirements of virtual machines (VMs). Therefore, we propose a method that can dynamically sense the VM workload to allocate network resources on demand, and can ensure the scalability of the VM while improving the performance of the system. We combine the advantages of I/O para-virtualization and SR-IOV technology, and use a limited number of virtual functions (VFs) to ensure the performance of network-intensive VMs, thereby improving the overall network performance of the system. For non-network-intensive VMs, the scalability of the system is guaranteed by using para-virtualized Network Interface Cards (NICs) which are not limited in number. Furthermore, to be able to allocate the corresponding bandwidth according to the VM’s network workload, we hierarchically divide the VF’s network bandwidth, and dynamically switch between VF and para-virtualized NICs through the active backup strategy of Bonding Drive and ACPI Hotplug technology to ensure the dynamic allocation of VF. Experiments show that the allocation framework can effectively improve system network performance, in which the average request delay can be reduced by more than 26%, and the system bandwidth throughput rate can be improved by about 5%.
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