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检索条件"主题词=Network Function Virtualization"

共 3145 条记录，以下是131-140 订阅

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Cloudified IP Multimedia Subsystem (IMS) for network function virtualization (NFV)-based architectures 19

Cloudified IP Multimedia Subsystem (IMS) for Network Functio...

引用

ISCC 2014 Workshop - 5th IEEE International Workshop on Performance Evaluation of Communications in Distributed Systems and Web based Service Architectures, PEDISWESA 2014

作者： Carella, Giuseppe Corici, Marius Crosta, Paolo Comi, Paolo Bohnert, Thomas Michael Corici, Andreea Ancuta Vingarzan, Dragos Magedanz, Thomas Technische Universität Berlin Germany Fraunhofer FOKUS Germany Italtel Italy Zurich University for Applied Sciences Switzerland

ISBN: (纸本)9781479942770

The maturity reached by virtualisation technology enabled great innovation for efficient applications and services development and delivery, independent of the underlying hardware equipment, especially with the large deployment of off-the-shelf hardware based cloud infrastructures. In order to take advantage of this technology, the existing network functions have to be developed and adapted to the new paradigm. However, traditional telecom services are still implemented on dedicated hardware resulting in high deployment and maintenance costs compared to the other already cloudified services. ETSI network functions Virtualisation (NFV) aims to fill this gap by applying to telecom the virtualisation technologies. This paper introduces a set of three software architectures for efficient virtualisation of IP Multimedia Subsystem (IMS) in different operator environments responding to the high level requirements of the ETSI NFV use case for virtualizing operator core network functions. Additionally, a management architecture for simplifying the deployment and runtime orchestration of such a virtual service on top of a cloud infrastructure is presented. Furthermore, one of the IMS software architectures was implemented based on the Fraunhofer FOKUS Open IMS Core, measured and evaluated on top of an OpenStack cloud. © 2014 IEEE.

关键词： network function virtualization

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A study of cloud-based VPN establishment using network function virtualization technique 3

A study of cloud-based VPN establishment using network funct...

引用

3rd International Conference on Smart Electronics and Communication, ICOSEC 2022

作者： Santhanamahalingam, Sankili Alagarsamy, Saravanan Subramanian, Karthikeyan Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamil Nadu Krishnankoil Anand Nagar India

ISBN: (数字)9781665497640

ISBN: (纸本)9781665497640

network function virtualization is the process of moving networking functions like Firewall, Load Balancing, Virtual Private networks (VPN), Gateway Antivirus, etc. away from proprietary hardware to the virtual server. This paper suggests enabling VPN security features to business customers by moving VPN features away from dedicated hardware and applying the feature by instantiating the corresponding VNF template from the virtual server. This paper aspires to develop a suitable architecture model with Software-Defined network and network function virtualization as its core techniques that can render a cloud design for *** proposed model consists of three parts that include forwarding plane, signaling & control plane, and data plane. The forwarding plane contains a tunnel that can be accomplished with technologies such as VPN, VXLAN, etc., and policy information. The signaling & control plane contains entire topology information, Bgp-evpn protocols, SDN controller functions, and NFV Orchestrator functions. The Data plane contains an open flow protocol and underlay network components such as distributed switch or router to handle L2-L4 rules. The model is evaluated using a simulation on a testbed with order processing and order orchestration of the cloud VPN feature. © 2022 IEEE.

关键词： network function virtualization

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Implementation of Failure Detector Based on network function virtualization 45

Implementation of Failure Detector Based on Network Function...

引用

45th Annual IEEE/IFIP International Conference on Dependable Systems and networks Workshops, DSN-W 2015

作者： Turchetti, Rogerio C. Duarte, Elias Procopio CTISM Federal University of Santa Maria UFSM Santa Maria Brazil Dept. Informatics Federal University of Parana UFPR Curitiba Brazil

ISBN: (纸本)9781467380447

network function virtualization (NFV) is an emerging technology that uses software virtualization techniques to implement network functions that are usually deployed on specific hardware and software devices. With NFV it is possible to design, deploy, and manage network functions in a fraction of the time it often takes to do the same in non-virtualized settings. NFV improves the flexibility and reduces the time for the development, deployment and management of new functions. In this paper, we propose NFV-FD: a NFV to detect process and link failures. NFV-FD relies on an OpenFlow controller from which information about the network is obtained. With this information NFV-FD keeps track of the state of both processes and links. NFV-FD was implemented and experimental results are reported for the amount of resources required by the virtual function, as well as the quality of the failure detection and notification service. © 2015 IEEE.

关键词： network function virtualization

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Placement of Deep Reinforcement Learning in Service function Chain of network function virtualization 2

Placement of Deep Reinforcement Learning in Service Function...

引用

2nd International Conference on Data Science and Information System, ICDSIS 2024

作者： Xu, Hongsheng Huang, Kaifeng Luoyang Normal University College Of Electronic And Commerce Luoyang China Luoyang Normal University Henan Key Laboratory For Big Data Processing & Analytics Of Electronic Commerce Luoyang China

ISBN: (纸本)9798350381665

Reinforcement learning is a goal-oriented algorithm. The core goal of the algorithm is to learn to make decisions during the interaction between intelligent agents and the environment. Deep Reinforcement Learning is an algorithm that combines the perception ability of deep learning and the powerful decision-making ability of reinforcement learning. It can directly understand the network and task from experience, thus improving the accuracy and reducing repeated modeling, and is widely used to solve complex problems. A network Service in NFV can be represented as a Service function Chain (SFC), which consists of a series of Virtual network functions (VNF) in a given order. In order to provide efficient services, SFCS are deployed in a number of different servers and direct traffic through a set of VNFS in a specific order. This paper proposes SFC placement in NFV based on deep reinforcement learning model. Finally, it is found that the deep learning model can effectively improve the efficiency of SFC placement. © 2024 IEEE.

关键词： network function virtualization

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Clickos and the art of network function virtualization 11

Clickos and the art of network function virtualization

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11th USENIX Symposium on networked Systems Design and Implementation, NSDI 2014

作者： Martins, Joao Ahmed, Mohamed Raiciu, Costin Olteanu, Vladimir Honda, Michio Bifulco, Roberto Huici, Felipe NEC Europe Ltd United Kingdom University Politehnica of Bucharest Romania

ISBN: (纸本)9781931971096

Over the years middleboxes have become a fundamental part of today’s networks. Despite their usefulness, they come with a number of problems, many of which arise from the fact that they are hardware-based: they are costly, difficult to manage, and their functionality is hard or impossible to change, to name a few. To address these issues, there is a recent trend towards network function virtualization (NFV), in essence proposing to turn these middleboxes into software-based, virtualized entities. Towards this goal we introduce ClickOS, a high-performance, virtualized software middlebox platform. ClickOS virtual machines are small (5MB), boot quickly (about 30 milliseconds), add little delay (45 microseconds) and over one hundred of them can be concurrently run while saturating a 10Gb pipe on a commodity server. We further implement a wide range of middleboxes including a firewall, a carrier-grade NAT and a load balancer and show that ClickOS can handle packets in the millions per second.

关键词： network function virtualization

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A reliable resource scheduling for network function virtualization 10th

A reliable resource scheduling for network function virtuali...

引用

10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2017

作者： Xu, Daoqiang Li, Yefei Yin, Ming Li, Xin Li, Hao Qian, Zhuzhong State Grid Jiangsu Electric Power Company Nanjing210000 China Jiang Su Frontier Electric Technology Co. Ltd. Nanjing210000 China State Grid Nanjing Power Supply Company Nanjing210000 China Nanjing University of Aeronautics and Astronautics Nanjing211106 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China

ISBN: (纸本)9783319723945

network function virtualization (NFV) is designed to reduce high cost of the hardware deployment and maintenance, which will be of great importance in the future resource management. NFV makes it possible for general servers to realize fast deployment of network functions, namely virtual network function (VNF), to achieve on-demand requests. The service request is generally composed of a sequence of VNFs, which is defined as a service chain. Although one node (server) only run one VNF at a time, the VNF could be shared with several VNF chains. How to deploy VNF and share VNF to achieve high usage of both computing and bandwidth resource is a challenge. In this paper, we present the VNF request model and the formal definition of the VNF deployment problem. Then, we investigate the VNF reuse and deployment problem, and propose a greedy strategy to deploy VNFs, so that the system could effectively offer a reliable VNF service. Simulations show that this VNF deployment schema could effectively improve the resource usage compared with other classic algorithms. © Springer International Publishing AG 2017.

关键词： network function virtualization

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DRL-Based Service function Chains Embedding Through network function virtualization in STINs 2

DRL-Based Service Function Chains Embedding Through Network ...

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2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

作者： Li, Li Yang, Chuhong Li, Haoyang He, Dongxuan Beijing Institute of Technology School of Information and Electronics Beijing China

ISBN: (纸本)9798331515669

Space-terrestrial integrated networks (STINs) are gaining increasing attention for their outstanding benefits in providing seamless connectivity, enhancing network resilience, increasing capacity, and expanding coverage. The combination of network function virtualization (NFV) and deep reinforcement learning (DRL) is a promising candidate to boost the capability of STINs to deliver high-quality services. In this paper, a STIN architecture based on artificial intelligence (AI) algorithms and the process of embedding Service function Chains (SFCs) into highly dynamic STINs are studied. Then, we propose an enhanced DRL-based SFCs embedding algorithm that initiates with a feature fusion phase of links, followed by aggregating the feature vectors of all nodes and their neighboring nodes to form context information. This context information is then used as part of the input state for the DRL-based SFCs embedding algorithm. Simulation results show that the proposed algorithm can effectively reduce the latency of SFCs embedding when compared with other existing algorithms, thus showing the superiority of our proposed algorithm. © 2024 IEEE.

关键词： network function virtualization

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Fast proxyless stream-based anti-virus for network function virtualization 1

Fast proxyless stream-based anti-virus for Network Function ...

引用

1st IEEE Conference on network Softwarization, NETSOFT 2015

作者： Kao, Chia-Nan Si, Salim Huang, Nen-Fu Liao, I-Ju Liu, Rong-Tai Hung, Hsien-Wei Institute of Communication Engineering National Tsing Hua University Taiwan Department of Computer Science National Tsing Hua University Taiwan Network Threat Defense Technology Group Trend Micro Incorporated Taiwan

ISBN: (纸本)9781479978991

network anti-virus (AV) solutions are the first line of defense against malicious software. Traditional proxy-based network anti-virus solutions with store-scan-forward techniques decrease network performance and consume massive amounts of memory. Therefore, traditional solutions are not easily adaptable for network function virtualization (NFV). This paper details the work on a novel virus scanning solution for NFV, called StreamAV. It does not require a proxy and maintains high network performance with less memory usage. StreamAV conducts policy matching on streams, rather than on complete files. This eliminates buffering, thereby accelerating traffic and requiring far less memory than solutions that scan complete files. The prototype was 40 times faster than its closest open source competitor, while its memory consumption was only a fraction of that of this competitor. Coverage was 100% with random test samples. © 2015 IEEE.

关键词： network function virtualization

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CoNFV: An Endhost-Cloud Collaborated network function virtualization Framework 2

CoNFV: An Endhost-Cloud Collaborated Network Function Virtua...

引用

2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

作者： Xu, Zhe Cui, Yong Jiang, Yimin Department of Computer Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9781538618035

T381 popularity of network function virtualization (NFV) is evidenced by its proliferation. There are two existing ways to deploy NFV: in the cloud and at the endhost. However, neither the cloud nor the endhost alone can achieve low latency, low cost and high flexibility simultaneously. In this paper, we propose CoNFV, a framework that combines the cloud and endhosts together, and can achieve all the three goals above. We present a novel NF abstraction that divides NF processing into the cloud-side part and the endhost-side part. CoNFV then incorporates the carefully-designed communication mechanism and offloads the compute-intensive rule generation task to the cloud, which largely reduces the dependency on network bandwidth and also eliminates network latency. Our evaluation result shows that CoNFV is able to reduce latency by 41.8% and reduce the bandwidth usage by 90.6%. To our best knowledge, CoNFV is the first NFV framework that enables endhost-cloud collaboration. © 2018 IEEE.

关键词： network function virtualization

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ONAP architectures for network function virtualization 9th

ONAP architectures for network function virtualization

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9th International EAI Conference on Broadband Communications, networks, and Systems, Broadnets 2018

作者： Fernández-Nandín, Abel Gil-Castiñeira, Felipe González-Castaño, Francisco J. atlanTTic Research Center for Telecommunication Technologies Universidade de Vigo Campus Universitario Vigo36310 Spain

ISBN: (纸本)9783030051945

The network function virtualization paradigm is changing the telecommunications industry. network applications in general purpose telco infrastructures will be instantiated on demand or deployed in the most appropriate location for each use case. Nevertheless, these virtualized scenarios are complex and require tools to manage the different components flexibly and reliably. ONAP is one of the projects that are implementing such tools. It provides a rich set of elements that can be executed in virtual machines or containers, following different architectures. In this paper we present the different possibilities for that and analyze their advantages and disadvantages. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.

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