Auswahl der wissenschaftlichen Literatur zum Thema „Placement des VNF“
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Zeitschriftenartikel zum Thema "Placement des VNF"
Sharma, Gourav Prateek, Wouter Tavernier, Didier Colle und Mario Pickavet. „VNF-AAPC: Accelerator-aware VNF placement and chaining“. Computer Networks 177 (August 2020): 107329. http://dx.doi.org/10.1016/j.comnet.2020.107329.
Der volle Inhalt der QuelleBattisti, Anselmo Luiz Éden, Evandro Luiz Cardoso Macedo, Marina Ivanov Pereira Josué, Hugo Barbalho, Flávia C. Delicato, Débora Christina Muchaluat-Saade, Paulo F. Pires, Douglas Paulo de Mattos und Ana Cristina Bernardo de Oliveira. „A Novel Strategy for VNF Placement in Edge Computing Environments“. Future Internet 14, Nr. 12 (30.11.2022): 361. http://dx.doi.org/10.3390/fi14120361.
Der volle Inhalt der QuelleWu, Xing, Jing Duan, Mingyu Zhong, Peng Li und Jianjia Wang. „VNF Chain Placement for Large Scale IoT of Intelligent Transportation“. Sensors 20, Nr. 14 (08.07.2020): 3819. http://dx.doi.org/10.3390/s20143819.
Der volle Inhalt der QuelleUmrao, Brajesh Kumar, und Dharmendar Kumar Yadav. „APVNFC: Adaptive Placement of Virtual Network Function Chains“. Cybernetics and Information Technologies 23, Nr. 1 (01.03.2023): 59–74. http://dx.doi.org/10.2478/cait-2023-0003.
Der volle Inhalt der QuelleAbdelaal, Marwa A., Gamal A. Ebrahim und Wagdy R. Anis. „Efficient Placement of Service Function Chains in Cloud Computing Environments“. Electronics 10, Nr. 3 (30.01.2021): 323. http://dx.doi.org/10.3390/electronics10030323.
Der volle Inhalt der QuelleTao, Xiaoyi, Kaoru Ota, Mianxiong Dong, Heng Qi und Keqiu Li. „Cost as Performance: VNF Placement at the Edge“. IEEE Networking Letters 3, Nr. 2 (Juni 2021): 70–74. http://dx.doi.org/10.1109/lnet.2021.3065651.
Der volle Inhalt der QuelleLeivadeas, Aris, George Kesidis, Mohamed Ibnkahla und Ioannis Lambadaris. „VNF Placement Optimization at the Edge and Cloud †“. Future Internet 11, Nr. 3 (09.03.2019): 69. http://dx.doi.org/10.3390/fi11030069.
Der volle Inhalt der QuelleTahmasbi Nejad, Mohammad Ali, Saeedeh Parsaeefard, Mohammad Ali Maddah-Ali, Toktam Mahmoodi und Babak Hossein Khalaj. „vSPACE: VNF Simultaneous Placement, Admission Control and Embedding“. IEEE Journal on Selected Areas in Communications 36, Nr. 3 (März 2018): 542–57. http://dx.doi.org/10.1109/jsac.2018.2815318.
Der volle Inhalt der QuelleNguyen, Tri-Hai, und Myungsik Yoo. „A VNF Placement Optimization Framework for Network Function Virtualization“. Journal of Korean Institute of Communications and Information Sciences 44, Nr. 10 (31.10.2019): 1956–60. http://dx.doi.org/10.7840/kics.2019.44.10.1956.
Der volle Inhalt der QuelleWu, Yunyi, Weichang Zheng, Yongbing Zhang und Jie Li. „Reliability-Aware VNF Placement Using a Probability-Based Approach“. IEEE Transactions on Network and Service Management 18, Nr. 3 (September 2021): 2478–91. http://dx.doi.org/10.1109/tnsm.2021.3093199.
Der volle Inhalt der QuelleDissertationen zum Thema "Placement des VNF"
Ochoa, Aday Leonardo. „Contributions to topology discovery, self-healing and VNF placement in software-defined and virtualized networks“. Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/665397.
Der volle Inhalt der QuelleAhvar, Shohreh. „Resource allocation in cloud and Content Delivery Network (CDN)“. Thesis, Evry, Institut national des télécommunications, 2018. http://www.theses.fr/2018TELE0011.
Der volle Inhalt der QuelleHigh energy costs and carbon emissions are two significant problems in distributed computing domain, such as distributed clouds and Content Delivery Networks (CDNs). Resource allocation methods (e.g., in form of Virtual Machine (VM) or Virtual Network Function (VNF) placement algorithms) have a direct effect on cost, carbon emission and Quality of Service (QoS). This thesis includes three related parts. First, it targets the problem of resource allocation (i.e., in the form of network aware VM placement algorithms) for distributed clouds and proposes cost and carbon emission efficient resource allocation algorithms for green distributed clouds. Due to the similarity of the network-aware VM placement problem in distributed clouds with a VNF placement problem, the second part of the thesis, getting experience from the first part, proposes a new cost efficient resource allocation algorithm (i.e., VNF placement) for network service provision in data centers and Internet Service Provider (ISP) network. Finally, the last part of the thesis presents new cost efficient resource allocation algorithms (i.e., VNF placement) for value-added service provisioning in NFV-based CDNs
Yala, Louiza. „Content Delivery Networks as a Service (CDNaaS)“. Thesis, Rennes 1, 2018. http://www.theses.fr/2018REN1S097/document.
Der volle Inhalt der QuelleThe goal of this thesis is to study and evaluate the role a Virtual CDNs in improving the end-users QoE while saving on service providers’ costs and service availability. First, we present the design and implementation of an architecture for on-demand deployment of a vCDN infrastructure over a telco cloud. Second, we propose different algorithms for solving the Virtual Network Function (VNF) placement problem. We propose a polynomialtime heuristic algorithms to solve a relaxed version of the problem’s assumptions, we show experimentally that the derived solutions are close to the optimal. Finally, we study and evaluate solutions for the placement of VNF at the edge, by moving from the traditional central cloud to the edge one. We have also shown how our method can reduce delays and still provide a highly-available service
Subramanya, Tejas. „Autonomic Management and Orchestration Strategies in MEC-Enabled 5G Networks“. Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/320883.
Der volle Inhalt der QuelleAhvar, Shohreh. „Resource allocation in cloud and Content Delivery Network (CDN)“. Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2018. http://www.theses.fr/2018TELE0011.
Der volle Inhalt der QuelleHigh energy costs and carbon emissions are two significant problems in distributed computing domain, such as distributed clouds and Content Delivery Networks (CDNs). Resource allocation methods (e.g., in form of Virtual Machine (VM) or Virtual Network Function (VNF) placement algorithms) have a direct effect on cost, carbon emission and Quality of Service (QoS). This thesis includes three related parts. First, it targets the problem of resource allocation (i.e., in the form of network aware VM placement algorithms) for distributed clouds and proposes cost and carbon emission efficient resource allocation algorithms for green distributed clouds. Due to the similarity of the network-aware VM placement problem in distributed clouds with a VNF placement problem, the second part of the thesis, getting experience from the first part, proposes a new cost efficient resource allocation algorithm (i.e., VNF placement) for network service provision in data centers and Internet Service Provider (ISP) network. Finally, the last part of the thesis presents new cost efficient resource allocation algorithms (i.e., VNF placement) for value-added service provisioning in NFV-based CDNs
Doanis, Pavlos. „A Deep Reinforcement Learning Framework for Scalable Slice Orchestration in Beyond 5G Networks“. Electronic Thesis or Diss., Sorbonne université, 2024. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2024SORUS100.pdf.
Der volle Inhalt der QuelleThis Thesis introduces a flexible Reinforcement Learning queuing-based framework for dynamic slice orchestration in Beyond 5G networks, supporting multiple concurrent slices that span different technological domains and are governed by diverse end-to-end Service Level Agreements. Different (Deep) Reinforcement Learning methods (single or multi-agent) are investigated to address the state and action complexity hurdles arising in such combinatorial problems, which render the use of "vanilla" Reinforcement Learning algorithms impractical. The performance of the proposed schemes is validated through simulations under both synthetic Markovian traffic and real traffic scenarios
Cho, Daewoong. „Network Function Virtualization (NFV) Resource Management For Low Network Latency“. Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17256.
Der volle Inhalt der QuelleBen, Jemaa Fatma. „Design and optimization of next-generation carrier-grade wi-fi networks“. Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066226/document.
Der volle Inhalt der QuelleAs Wi-Fi is gaining a lot of momentum in today’s networks as well as in future networks, new carrier-grade requirements are emerging to support future user expectations and provide high-performance Wi-Fi networks. In this context, we investigate several problems surrounding the design and optimization of carrier-grade next-generation Wi-Fi networks. In the first stage, our objective is to improve the Wi-Fi user experience and offer to him a personalized and seamless access to Wi-Fi networks and services. For this, we propose an extension to the IEEE 802.11 management frames to enable venue service discovery prior to Wi-Fi association while avoiding channel overhead. We define also a set of extensible service labels to uniquely and globally identify the most known venue-based services. In the second stage, we deal with network architecture and management issues in next-generation carrier Wi-Fi environment. More specifically, we first propose a novel carrier-managed Wi-Fi architecture that leverages NFV and Edge Cloud Computing concepts. We aim through this architecture to bring more agility and adaptability and improve user perceived QoS by placing network functions and certain services close to end-users. To address some major management issues in this proposed architecture, we then propose placement and provisioning strategies of Virtual Network Functions based on QoS requirements. These strategies can also be applied to any edge-central wireless carrier architecture, since they do not make any assumption about the underlying wireless technology
Ben, Jemaa Fatma. „Design and optimization of next-generation carrier-grade wi-fi networks“. Electronic Thesis or Diss., Paris 6, 2016. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2016PA066226.pdf.
Der volle Inhalt der QuelleAs Wi-Fi is gaining a lot of momentum in today’s networks as well as in future networks, new carrier-grade requirements are emerging to support future user expectations and provide high-performance Wi-Fi networks. In this context, we investigate several problems surrounding the design and optimization of carrier-grade next-generation Wi-Fi networks. In the first stage, our objective is to improve the Wi-Fi user experience and offer to him a personalized and seamless access to Wi-Fi networks and services. For this, we propose an extension to the IEEE 802.11 management frames to enable venue service discovery prior to Wi-Fi association while avoiding channel overhead. We define also a set of extensible service labels to uniquely and globally identify the most known venue-based services. In the second stage, we deal with network architecture and management issues in next-generation carrier Wi-Fi environment. More specifically, we first propose a novel carrier-managed Wi-Fi architecture that leverages NFV and Edge Cloud Computing concepts. We aim through this architecture to bring more agility and adaptability and improve user perceived QoS by placing network functions and certain services close to end-users. To address some major management issues in this proposed architecture, we then propose placement and provisioning strategies of Virtual Network Functions based on QoS requirements. These strategies can also be applied to any edge-central wireless carrier architecture, since they do not make any assumption about the underlying wireless technology
Chiang, Mao-Jung, und 江茂榮. „Distributed Approach to Adaptive VNF Manager Placement Problem“. Thesis, 2019. http://ndltd.ncl.edu.tw/handle/v25ue5.
Der volle Inhalt der Quelle國立交通大學
資訊科學與工程研究所
107
Over the last few years, network function virtualization (NFV) has been developing rapidly in both academia and industry since it promises flexible and scalable network management and orchestration. The European Telecommunications Standards Institute (ETSI) has designed NFV management and orchestration (NFV-MANO) architectural framework for the purpose of managing and orchestrating the network services and their corresponding virtualized network functions (VNFs). In the NFV-MANO, the NFV orchestrator (NFVO) manages the network services and coordinates with the VNF managers (VNFMs) which manage the lifecycle of VNFs. It is a challenging problem to determine the placement of VNFMs that keeps the operational cost down without violating the performance requirements. Existing centralized solution that suffers from scalability and privacy issues, in this paper, we leverage potential game theory to achieve distributed solutions to the VNFM placement problem (MPP). More importantly, our distributed solutions hold the property of self-adaptability. It can adapt the changes in the system like some VNFMs are faulty or the number of VNF instances varies. On the other hand, we also show that the game possesses a potential function and admits a Nash equilibrium (NE). Numerical results show the cost efficiency and adaptability of our approaches.
Buchteile zum Thema "Placement des VNF"
Jahedi, Zahra, und Thomas Kunz. „Optimal VNF Placement: Addressing Multiple Min-Cost Solutions“. In E-Business and Telecommunications, 1–23. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34866-3_1.
Der volle Inhalt der QuelleBekhit, Mahmoud, Ahmed Fathalla, Esraa Eldesouky und Ahmad Salah. „Multi-objective VNF Placement Optimization with NSGA-III“. In Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23), 481–93. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33743-7_39.
Der volle Inhalt der QuelleZhang, Minli, Hongli Xu, Xingpeng Fan, Da Yao und Liusheng Huang. „Joint Switch Upgrade and VNF Placement for NFV-Based SDNs“. In Wireless Algorithms, Systems, and Applications, 87–95. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59019-2_10.
Der volle Inhalt der QuellePedro, João, und António Eira. „Hybrid Backup Resource Optimization for VNF Placement Over Optical Transport Networks“. In Optical Network Design and Modeling, 3–14. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38085-4_1.
Der volle Inhalt der QuelleZeng, Ying, Zhan Shi und Zanhong Wu. „VNF Placement and Routing Algorithm for Energy Saving and QoS Guarantee“. In Proceedings of the 9th International Conference on Computer Engineering and Networks, 911–19. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3753-0_89.
Der volle Inhalt der QuelleKhemili, Wided, Jalel Eddine Hajlaoui, Mohand Yazid Saidi, Mohamed Nazih Omri und Ken Chen. „Deep Reinforcement Learning for VNF Placement and Chaining of Cloud Network Services“. In Advanced Information Networking and Applications, 84–96. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57870-0_8.
Der volle Inhalt der QuelleSolozabal, Ruben, Bego Blanco, Jose Oscar Fajardo, Ianire Taboada, Fidel Liberal, Elisa Jimeno und Javier G. Lloreda. „Design of Virtual Infrastructure Manager with Novel VNF Placement Features for Edge Clouds in 5G“. In Engineering Applications of Neural Networks, 669–79. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65172-9_56.
Der volle Inhalt der QuelleMasoumi, Maryam, Ignacio de Miguel, Ramón J. Durán Barroso, Soheil Hosseini, Hafiza Kanwal Janjua, Noemí Merayo, Juan Carlos Aguado und Rubén M. Lorenzo. „Efficient Protected VNF Placement and MEC Location Selection for Dynamic Service Provisioning in 5G Networks“. In Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference, 448–56. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-38318-2_44.
Der volle Inhalt der QuelleZhong, Youbing, Zhou Zhou, Xuan Liu, Da Li, Meijun Guo, Shuai Zhang, Qingyun Liu und Li Guo. „BPA: The Optimal Placement of Interdependent VNFs in Many-Core System“. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 305–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67540-0_18.
Der volle Inhalt der QuelleMarshall, Minda M. B., Simon George Taukeni, Rheinhold Disho Muruti, Gibert Likando, Cynthy Kaliinasho Haihambo, Mathilde Shihako, Chamelle De Silva und Marshall M. „Maximizing Students' Learning Success Through Lab-on-Line“. In Addressing Multicultural Needs in School Guidance and Counseling, 262–76. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0319-5.ch012.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Placement des VNF"
Kim, Sang Il, und Hwa Sung Kim. „A VNF Placement Method based on VNF Characteristics“. In 2021 International Conference on Information Networking (ICOIN). IEEE, 2021. http://dx.doi.org/10.1109/icoin50884.2021.9334022.
Der volle Inhalt der QuelleMechtri, Marouen, Chaima Ghribi und Djamal Zeghlache. „VNF Placement and Chaining in Distributed Cloud“. In 2016 IEEE 9th International Conference on Cloud Computing (CLOUD). IEEE, 2016. http://dx.doi.org/10.1109/cloud.2016.0057.
Der volle Inhalt der QuelleHarris, Dor, und Danny Raz. „Dynamic VNF Placement in 5G Edge Nodes“. In 2022 IEEE 8th International Conference on Network Softwarization (NetSoft). IEEE, 2022. http://dx.doi.org/10.1109/netsoft54395.2022.9844093.
Der volle Inhalt der QuelleChiang, Mao-Jung, und Li-Hsing Yen. „Distributed Approach to Adaptive VNF Manager Placement Problem“. In 2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2019. http://dx.doi.org/10.23919/apnoms.2019.8893005.
Der volle Inhalt der QuelleZhou, Weilin, Yuan Yang, Mingwei Xu und Hao Chen. „Accommodating Dynamic Traffic Immediately: A VNF Placement Approach“. In ICC 2019 - 2019 IEEE International Conference on Communications (ICC). IEEE, 2019. http://dx.doi.org/10.1109/icc.2019.8761554.
Der volle Inhalt der QuellePatel, Akanksha, Mythili Vutukuru und Dilip Krishnaswamy. „Mobility-aware VNF placement in the LTE EPC“. In 2017 IEEE Conference on Network Function Virtualization and Software-Defined Networks (NFV-SDN). IEEE, 2017. http://dx.doi.org/10.1109/nfv-sdn.2017.8169843.
Der volle Inhalt der QuelleSharma, Gourav Prateek, Wouter Tavernier, Didier Colle und Mario Pickavet. „VNF-AAP: Accelerator-aware Virtual Network Function Placement“. In 2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2019. http://dx.doi.org/10.1109/nfv-sdn47374.2019.9040061.
Der volle Inhalt der QuelleAgarwal, Satyam, Francesco Malandrino, Carla-Fabiana Chiasserini und S. De. „Joint VNF Placement and CPU Allocation in 5G“. In IEEE INFOCOM 2018 - IEEE Conference on Computer Communications. IEEE, 2018. http://dx.doi.org/10.1109/infocom.2018.8485943.
Der volle Inhalt der QuelleSoualah, Oussama, Marouen Mechtri, Chaima Ghribi und Djamal Zeghlache. „Energy Efficient Algorithm for VNF Placement and Chaining“. In 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID). IEEE, 2017. http://dx.doi.org/10.1109/ccgrid.2017.84.
Der volle Inhalt der QuelleOechsner, Simon, und Andreas Ripke. „Flexible support of VNF placement functions in OpenStack“. In 2015 IEEE Conference on Network Softwarization (NetSoft). IEEE, 2015. http://dx.doi.org/10.1109/netsoft.2015.7116178.
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