Tesis sobre el tema "Placement des VNF"
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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.
Texto completoAhvar, Shohreh. "Resource allocation in cloud and Content Delivery Network (CDN)". Thesis, Evry, Institut national des télécommunications, 2018. http://www.theses.fr/2018TELE0011.
Texto completoHigh 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.
Texto completoThe 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.
Texto completoAhvar, 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.
Texto completoHigh 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.
Texto completoThis 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.
Texto completoBen, Jemaa Fatma. "Design and optimization of next-generation carrier-grade wi-fi networks". Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066226/document.
Texto completoAs 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.
Texto completoAs 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 y 江茂榮. "Distributed Approach to Adaptive VNF Manager Placement Problem". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/v25ue5.
Texto completo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.
Hsu, Fang-Tzu y 許芳慈. "An MEC-based VNF Placement and Scheduling Scheme for AR Application Topology". Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5394078%22.&searchmode=basic.
Texto completo國立中興大學
資訊科學與工程學系所
107
With new technological advances, application services have become more and more diversified. The applications of Augmented Reality (AR) have received great attention from academics and operators. However, the complex computing required for AR application services has caused service operators to face problems of poor user experience due to insufficient computing resources. Network function virtualization (NFV) enables operators to directly establish network functions on virtual machines, and can flexibly adjust the number of each virtual network function (VNF) according to users’ requirements. Thus, the system can reduce unnecessary waste of resources. In addition, we use multi-access edge computing (MEC) to provide computing resources. The edge server is close to the user and reduces transmission cost of the system. This paper proposes an MEC-based VNF placement and scheduling scheme for AR application. Considering the function topology of AR application, the compute-intensive application can provide good service quality for a large number of users within limited resources. The simulation presents that the proposed method can maintain good service quality as the number of user requests increases. Moreover, we use queueing theory to design a queueing model for the MEC-based VNF scheduling algorithm and use mathematical analysis to validate simulation results.
Chen, Bo-Rui y 陳柏瑞. "Design and Implementation of An Orchestration System to Support Optimal Placement and Routing for VNF Service Chaining in NFV/SDN Cloud Center". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/7s6555.
Texto completo國立中正大學
通訊工程研究所
105
Network Function Virtualization (NFV) as a new policy enforcement and service provisioning paradigm is considered as a framework for handling VNF placement and orchestration in the network. Each incoming request as a sequence of Network Functions (NFs), called Service Chain (SC), is processed and the environment is optimally prepared for satisfying the request. The SC provisioning has some operational costs. Creating VNF for each VNF request increases the number of VNFs in an unpleasant manner that leads to the higher resource wastage, environmental complexity and management costs. Because of the improper placement of the VNFs for each SC, the bandwidth usage cost affects the performance of the network. For decreasing the VNF numbers and bandwidth usage costs in the network, we propose Central Orchestration System (COS) which integrates the benefits of OpenStack in the presence of SDN technology. Our proposed method, according to the user request and the current situation of the network, calculates the optimum VNF locations and the connecting path of the VNFs in order to minimize the bandwidth and number of VNF costs. The first experiment confirms the computation time of our optimization model in a 48-ary Fat tree network environment. In the second experiment the COS had the better performance in comparison with the other methods.
PARADISO, FRANCESCA. "Smart Home: energy monitoring and exploitation of network virtualization". Doctoral thesis, 2017. http://hdl.handle.net/2158/1080014.
Texto completoTSAI, YUN-JU y 蔡韻茹. "Design and Implementation of a System Orchestrator to Support Placement and Routing of VNFs for Service Chaining". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/4n5nns.
Texto completo國立中正大學
通訊工程研究所
107
Network Function Virtualization (NFV)is a technology that implement traditional physical network devices into virtual machine placed in the server. The virtual machine(VM) with network function is called Virtual Network Function(VNF), users can specify a service chain formed by multiple VNFs in a specific order, this is called Service Chain(SC). If every time a user apply for a Service Chain in the data center and the manager create new VNFs for it this will cause too many VNFs in the environment and increase the management cost and the waste of resource in the server. Randomly placing the VNFs in the environment will cause the routing path length of Service Chain increase and the waste of network bandwidth. We implement a System Orchestrtor (SO). When getting a SC request from the tenant, manager only need to input the SC information, such as VNF type, the order of VNFs, and the bandwidth require of the SC, SO can automatally deploy VNFs in the OpenStack environment based on the CPU usage of VNF, sharing status of the VNF, CPU and RAM usage of server, and network staus. Plus SO will add SC routing entry on P4 switch.
Gupta, Devyani. "Optimal Placement and Traffic Steering of VNFs and Edge Servers using Column Generation in Data Center Networks". Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5974.
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