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检索条件"主题词=Network Function Virtualization"

共 3191 条记录，以下是1041-1050 订阅

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P4-TURNet: Enabling NAT Traversal through P2P Relay networks and Programmable Switches

P4-TURNet: Enabling NAT Traversal through P2P Relay Networks...

引用

IEEE Conference on network function virtualization and Software Defined networks (NFV-SDN)

作者： Eduardo C. Paim Alberto Schaeffer-Filho Federal University of Rio Grande do Sul Porto Alegre Brazil

ISBN: (数字)9798350380538

ISBN: (纸本)9798350380545

The growing popularity of high throughput and low latency applications introduces new challenges in adapting the current network design practices to fit these requirements. With the advent of software-defined and programmable networks, there are new opportunities to optimize the operation of established mechanisms, such as peer-to-peer (P2P) communication. In this paper, we propose P4-TURNet, a new system that enables NAT traversal by managing multiple programmable switches that act as P2P relay servers. We discuss how P4-TURNet can be employed to provide massive communication at scale to achieve restrictive performance requirements. We evaluate the system in a simulated environment and find that it enables a TURN server to handle 400 times more simultaneous users compared to traditional on-server packet relaying.

关键词： Relay networks Throughput Peer-to-peer computing network function virtualization Servers Software defined networking Low latency communication

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A-DDPG: Attention Mechanism-based Deep Reinforcement Learning for NFV 29

A-DDPG: Attention Mechanism-based Deep Reinforcement Learnin...

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29th IEEE/ACM International Symposium on Quality of Service (IWQOS)

作者： He, Nan Yang, Song Li, Fan Trajanovski, Stojan Kuipers, Fernando A. Fu, Xiaoming Beijing Inst Technol Sch Comp Sci & Technol Beijing Peoples R China Microsoft London England Delft Univ Technol Embedded & Networked Syst Grp Delft Netherlands Univ Gottingen Inst Comp Sci Gottingen Germany

ISBN: (纸本)9781665414944

The efficacy of network function virtualization (NFV) depends critically on (1) where the virtual network functions (VNFs) are placed and (2) how the traffic is routed. Unfortunately, these aspects are not easily optimized, especially under time-varying network states with different quality of service (QoS) requirements. Given the importance of NFV, many approaches have been proposed to solve the VNF placement and traffic routing problem. However, those prior approaches mainly assume that the state of the network is static and known, disregarding real-time network variations. To bridge that gap, in this paper, we formulate the VNF placement and traffic routing problem as a Markov Decision Process model to capture the dynamic network state transitions. In order to jointly minimize the delay and cost of NFV providers and maximize the revenue, we devise a customized Deep Reinforcement Learning (DRL) algorithm, called A-DDPG, for VNF placement and traffic routing in a real-time network. A-DDPG uses the attention mechanism to ascertain smooth network behavior within the general framework of network utility maximization (NUM). The simulation results show that A-DDPG outperforms the state-of-the-art in terms of network utility, delay, and cost.

关键词： network function virtualization deep reinforcement learning placement routing

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Delay-Aware Backup Resource Allocation with Probabilistic Protection for network Services 22

Delay-Aware Backup Resource Allocation with Probabilistic Pr...

引用

IEEE 22nd International Conference on High Performance Switching and Routing (IEEE HPSR)

作者： Horimoto, Shinya He, Fujun Oki, Eiji Kyoto Univ Kyoto Japan

ISBN: (纸本)9781665440059

This paper proposes a backup resource allocation model for virtual network functions (VNFs) to minimize the total required backup computing capacity with considering the service delay. If random failures occur to primary hosts, the VNFs in failed hosts are recovered by backup hosts, where the allocation is determined in advance. We introduce the probabilistic protection, where the probability that the protection provided by a backup host fails is limited within a given value;it allows backup resource sharing to reduce the total required computing capacity. The previous work formulated the backup resource allocation problem without considering the service delay as a mixed integer linear programming (MILP) problem by adopting the robust optimization. We consider the delay of services, which consists of networking delay between hosts and processing delay in each requested VNF. The probability that the total delay of a service exceeds its threshold is constrained within a given value. To solve the problem with the delay constraint, we introduce an algorithm with two methods to make the MILP problem be aware of the service delay. The results observe that, compared to the baseline, the proposed model can reduce the total required backup capacity of computing resource.

关键词： Backup resource allocation edge computing network function virtualization service delay

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Experience with implementing VNF chains with Segment Routing and PCEP 17

Experience with implementing VNF chains with Segment Routing...

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IFIP/IEEE International Symposium on Integrated network Management (IM)

作者： Portegies, Cees Boldrini, Leonardo Kaat, Marijke Grosso, Paola Univ Amsterdam Multiscale Networked Syst Grp Amsterdam Netherlands SURF Fdn Utrecht Netherlands

ISBN: (纸本)9783903176324

We present here an implementation to support function chaining and migration in the network function virtualization (NFV) paradigm, using Segment Routing (SR) and Path Computation Element Communication Protocol (PCEP). The paradigm of NFV requires the underlying networks to be able to route traffic through dynamically deployed Virtual network functions (VNFs). Segment Routing is a modern incarnation of the source routing paradigm, which together with PCEP we can use to build network paths, steering the traffic through specific segments. The proof of concept we built uses SR-MPLS, focused on IPv4 SR, and consists of Juniper vQFX routers with custom VNFs. The VNFs are custom developed BPF programs that run on special VNF hosts, integrated into the SR-MPLS network. To build SRMPLS paths through the network, we use the Juniper NorthStar Software Defined networking (SDN) controller and the PCEP protocol. We developed two scenarios to validate the functionality of our proof of concept: the migration of VNFs and the creation of VNF service chains. We demonstrate that in both scenarios we can successfully steer the traffic through the VNFs, showing the feasibility of using SR with PCEP to assist the deployment of VNFs. © 2021 IFIP.

关键词： network function virtualization

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A Translator as Virtual network function for network Level Interoperability of Different IoT Technologies 7

A Translator as Virtual Network Function for Network Level I...

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IEEE 7th International Conference on network Softwarization (NetSoft) - Accelerating network Softwarization in the Cognitive Age

作者： Arzo, Sisay Tadesse Zambotto, Francesco Granelli, Fabrizio Bassoli, Riccardo Devetsikiotis, Michael Fitzek, Frank H. P. Univ Trento Dept Informat Engn & Comp Sci Trento Italy Tech Univ Dresden Deutsch Telekom Chair Commun Networks Dresden Germany Univ New Mexico Dept Elect & Comp Engn Albuquerque NM 87131 USA

ISBN: (纸本)9781665405225

Internet of Things (IoT) network is dominating both the research and industry. There are numerous emerging IoT connectivity Technologies such as Sigfox, LoRa, NB-IoT, LTE-M. However, these IoT connectivity technologies have different protocols and packet/message formatting. Thus, IoT devices are usually not able to interact with one another, causing interoperability challenges. This is creating the so-called network island or silos. Interoperability between different IoT networks needs to be achieved to fully exploit IoT potential. This is required at each level of the network. Different solutions have been proposed to tackle the interoperability problem at different levels reducing the difficulty in defining a solution breaching the vertical silos barrier. In this article, we focus on addressing network-level interoperability. We provide a network format translator in a virtualized environment as a flexible and lightweight deployment. As a proof of concept, a testbed is developed implementing the proposed translator using NS3. Using the testbed, we can communicate with different IoT technologies sending packets between each device in each type of IoT network. For example, sending a LoRaWAN packet to Wi-Fi and 6LoWPAN and visa-versa. Finally, we have measured the latency introduced by the translator.

关键词： IoT Interoperability Software Defined networking network function virtualization Container

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Qasync: A Dual network Architecture for Value Based Multi-Agent Reinforcement Learning 3

Qasync: A Dual Network Architecture for Value Based Multi-Ag...

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3rd International Conference on Automation, Robotics and Computer Engineering, ICARCE 2024

作者： Xu, Du Jia, Lu Wang, Yewei Liu, Qian Zhang, Yong School of Computer Science and Information Engineering Hefei University of technology Hefei China

ISBN: (纸本)9798331529505

In this work, we propose Qasync, a novel dual network framework for value-based multi-agent reinforcement learning, aimed at addressing the control decision-making issues of Connected Autonomous Vehicles (CAVs) in merge scenario. The core contributions of Qasync include the following two aspects: 1) Qasync extends QMIX by integrating a feedforward network, which reduces the limitations of QMIX's linearity assumption. 2) Qasync introduces a periodic mixing mechanism that combines Q-values from both networks, enabling Qasync to better capture non-linear relationships and enhance agents' exploration of diverse strategies. We evaluated Qasync using the SMARTS platform in a mixed traffic merging scenario, where autonomous vehicles must merge onto a two-lane road from a slip road, interacting with vehicles that randomly generated at the starting point to simulate realistic traffic conditions. Qasync was compared against several value-based baselines, including VDN, QMIX, and QTRAN, achieving average merging success rates of 80%, 89%, and 94%, respectively. Qasync achieved an overall merging success rate of 95%, demonstrating its ability to effectively handle complex traffic interactions and highlighting its potential for enhancing autonomous driving systems. © 2024 IEEE.

关键词： network function virtualization

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PhysarumSM: P2P Service Discovery and Allocation in Dynamic Edge networks 17

PhysarumSM: P2P Service Discovery and Allocation in Dynamic ...

引用

IFIP/IEEE International Symposium on Integrated network Management (IM)

作者： Lin, Thomas Zhao, Weiyu Co, Ivan Chen, Andrew Xu, Henry Leon-Garcia, Alberto Univ Toronto Dept Elect & Comp Engn Toronto ON Canada

ISBN: (纸本)9783903176324

With the continuous growth in the number of mobile networked devices, and their rapidly improving compute capabilities, it has become possible to harness them as an extended cloud. This presents a clear opportunity to place latency-sensitive applications and services at the edge. As applications are increasingly based on the microservices and network function virtualization (NFV) architectures, their overall performance will depend on the location of their constituent microservices relative to one-another. An extended cloud comprising mobile devices therefore results in a dynamic network, making it difficult for traditional orchestration systems in distant clouds to perform timely management and replacement of microservices to ensure the overall application or service is performant. We propose to address this challenge by decentralizing the service discovery and allocation logic, placing it in client microservices. This paper presents a P2P-based design and prototype system that empowers clients to discover desired services based on pre-defined QoS requirements. If none are found, clients identify compute nodes meeting the requirements to request a new service allocation.

关键词： network function virtualization

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Distributed Multi-Agent Learning for Service function Chain Partial Offloading at the Edge

Distributed Multi-Agent Learning for Service Function Chain ...

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IEEE International Conference on Communications (ICC)

作者： Khoramnejad, Fahime Joda, Roghayeh Erol-Kantarci, Melike Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON Canada

ISBN: (纸本)9781728194417

Multi-Access Edge Computing (MEC) along with "learning at the edge" brings unique opportunities for enhancing the utilization of resources in the next generation wireless networks. Using network function virtualization (NFV), Service function Chains (SFCs), a set of ordered virtual network functions (VNFs), can be deployed within the MEC infrastructure. The user equipment (UEs) can offload VNFs with intense computational load to the MEC servers with rich storage and computation resources. In this paper, we address the problem of partial offloading of a chain of services where each VNF of the SFC request can be either performed locally or offloaded onto a MEC server. The objective is to concurrently minimize the long-term cost of the UEs which is given in terms of both delay and energy consumption. This problem is highly complex and calls for distributed multi-agent learning techniques. We formulate the problem as a distributed multi-agent reinforcement learning problem and use double deep Q-network (DDQN) algorithm to solve it. Our simulation results show that the proposed DDQN-based solution has comparable results to an exhaustive search algorithm.

关键词： network function virtualization mobile edge computing multi-agent edge learning double deep Q-network

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Node Re-Visitation in Virtual Service Mapping: an Integrated Approach

Node Re-Visitation in Virtual Service Mapping: an Integrated...

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IEEE/CIC International Conference on Communications in China (ICCC)

作者： Wang, Yang Hu, Qian Li, Chaoyang Flor, Jabree Jalalitabar, Maryam La Salle Univ 1Dept Math & Comp Sci Philadelphia PA 19141 USA Huizhou Univ Sch Comp Sci & Engn Huizhou 516007 Guangdong Peoples R China Calif State Univ Northridge Dept Comp Sci Los Angeles CA 91330 USA

ISBN: (纸本)9781665443852

In the context of virtualization, one critical task that has to be addressed is the mapping of the virtual service request (that consists of virtual nodes and links) to the virtualization-enabled physical network. In this work, we comprehensively study the service mapping problem with the consideration of node re-visitation, which supports the hosting of more than one virtual nodes on the same physical node. Our study fills a gap of the literature by exploring strategies to best utilize node re-visitation for reduced resource consumption and service blocking in the resulting problem of service mapping with node re-visitation (SMNR). Both path-based and link-based Integer Linear Programming SMNR models are designed and evaluated in our simulation.

关键词： Integer linear programming network function virtualization virtualization Task analysis

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Availability-Aware Service Chain Provisioning with Sub-chain-enabled Coordinated Protection 17

Availability-Aware Service Chain Provisioning with Sub-chain...

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IFIP/IEEE International Symposium on Integrated network Management (IM)

作者： Zhang, Yuncan He, Fujun Oki, Eiji Kyoto Univ Grad Sch Informat Kyoto Japan

ISBN: (纸本)9783903176324

This paper proposes a sub-chain-enabled coordinated protection model for the availability-guaranteed service function chain (SFC) provisioning, which considers the availability of each component to constitute an SFC, including links and VNFs. Unlike conventional protection models providing certain protection for the whole chain, the proposed model configures sub-chains for each SFC and provides proper protection for each sub-chain to achieve the required availability cost-efficiently. We formulate the proposed model as an optimization problem to minimize the deployment cost. A heuristic is presented to tackle the problem. The numerical results show that the proposed model outperforms the conventional ones in terms of deployment cost.

关键词： network function virtualization service function chaining availability protection

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