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Optimize the Deployment and Integration for Multicast-Oriented Virtual Network Function Tree 认领 引用
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作者 Ying Chang Hongxue Yang Qinghua Zhu 《Journal of Beijing Institute of Technology》 EI CAS 2022年第5期513-523,共11页
Due to the development of network technology,the number of users is increasing rapidly,and the demand for emerging multicast services is becoming more and more abundant,traffic data is increasing day by day,network no... Due to the development of network technology,the number of users is increasing rapidly,and the demand for emerging multicast services is becoming more and more abundant,traffic data is increasing day by day,network nodes are becoming denser,network topology is becoming more complex,and operators’equipment operation and maintenance costs are increasing.Network functions virtualization multicast issues include building a traffic forwarding topology,deploying the required functions,and directing traffic.Combining the two is still a problem to be studied in depth at present,and this paper proposes a two-stage solution where the decisions of these two stages are interdependent.Specifically,this paper decouples multicast traffic forwarding and function delivery.The minimum spanning tree of traffic forwarding is constructed by Steiner tree,and the traffic forwarding is realized by Viterbi-algorithm.Use a general topology network to examine network cost and service performance.Simulation results show that this method can reduce overhead and delay and optimize user experience. 展开更多
关键词 multicast service function chain(SFC) network functions virtualization(NFV) software defined network(SDN) Viterbi-algorithm
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Network Function Virtualization Technology:Progress and Standardization 认领 引用 被引量：1
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作者 Huiling Zhao Yunpeng Xie Fan Shi 《ZTE Communications》 2014年第2期3-7,共5页
Network innovation and business transformation are both necessary for telecom operators to adapt to new situations, but operators face challenges in terms of network bearer complexity, business centralization, and IT/... Network innovation and business transformation are both necessary for telecom operators to adapt to new situations, but operators face challenges in terms of network bearer complexity, business centralization, and IT/CT integration. Network function virtualization （NFV） may inspire new development ideas, but many doubts still exist within industry, especially about how to introduce NFV into an operator＇ s network. This article describes the latest progress in NFV standardization, NFV requirements and hot technology issues, and typical NFV applications in an operator networks. 展开更多
关键词 network functions virtualization （NFV） overlay network virtual extensible LAN （VXLAN） service chaining
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Enhanced Reliability in Network Function Virtualization by Hybrid Hexagon-Cost Efficient Algorithm 认领 引用
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作者 D.Jeyakumar C.Rajabhushanam 《Computer Systems Science & Engineering》 SCIE EI 2022年第12期1131-1144,共14页
In this,communication world, the Network Function Virtualization concept is utilized for many businesses, small services to virtualize the network nodefunction and to build a block that may connect the chain, communic... In this,communication world, the Network Function Virtualization concept is utilized for many businesses, small services to virtualize the network nodefunction and to build a block that may connect the chain, communication services.Mainly, Virtualized Network Function Forwarding Graph (VNF-FG) has beenused to define the connection between the VNF and to give the best end-to-endservices. In the existing method, VNF mapping and backup VNF were proposedbut there was no profit and reliability improvement of the backup and mapping ofthe primary VNF. As a consequence, this paper offers a Hybrid Hexagon-CostEfficient algorithm for determining the best VNF among multiple VNF and backing up the best VNF, lowering backup costs while increasing dependability. TheVNF is chosen based on the highest cost-aware important measure (CIM) rate,which is used to assess the relevance of the VNF forwarding graph.To achieveoptimal cost-efficiency, VNF with the maximum CIM is selected. After the selection process, updating is processed by three steps which include one backup VNFfrom one SFC, two backup VNF from one Service Function Chain (SFC),and twobackup VNF from different SFC. Finally, this proposed method is compared withCERA, MinCost, MaxRbyInr based on backup cost, number of used PN nodes,SFC request utility, and latency. The simulation result shows that the proposedmethod cuts down the backup cost and computation time by 57% and 45% compared with the CER scheme and improves the cost-efficiency. As a result, this proposed system achieves less backup cost, high reliability, and low timeconsumption which can improve the Virtualized Network Function operation. 展开更多
关键词 Network function virtualized(NFV) hybrid hexagon-cost efficient algorithm(HH-CE) cost-aware important measure(CIM) reliability network services
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Virtualizing Network and Service Functions: Impact on ICT Transformation and Standardization 认领 引用 被引量：1
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作者 Bhumip Khasnabish Jie Hu Ghazanfar Ali 《ZTE Communications》 2013年第4期40-46,共7页
Virtualization of network/service functions means time sharing network/service（and affiliated）resources in a hyper speed manner.The concept of time sharing was popularized in the 1970s with mainframe computing.The s... Virtualization of network/service functions means time sharing network/service（and affiliated）resources in a hyper speed manner.The concept of time sharing was popularized in the 1970s with mainframe computing.The same concept has recently resurfaced under the guise of cloud computing and virtualized computing.Although cloud computing was originally used in IT for server virtualization,the ICT industry is taking a new look at virtualization.This paradigm shift is shaking up the computing,storage,networking,and ser vice industries.The hope is that virtualizing and automating configuration and service management/orchestration will save both capes and opex for network transformation.A complimentary trend is the separation（over an open interface）of control and transmission.This is commonly referred to as software defined networking（SDN）.This paper reviews trends in network/service functions,efforts to standardize these functions,and required management and orchestration. 展开更多
关键词 network function virtualization（NFV） and chaining service function virtualization（SFV） and chaining network virtualization overlay（NVO） software defined networking（SDN） networking economics
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Adaptive Partial Task Offloading and Virtual Resource Placement in SDN/NFV-Based Network Softwarization 认领 引用
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作者 Prohim Tam Sa Math Seokhoon Kim 《Computer Systems Science & Engineering》 SCIE EI 2023年第5期2141-2154,共14页
Edge intelligence brings the deployment of applied deep learning(DL)models in edge computing systems to alleviate the core backbone network congestions.The setup of programmable software-defined networking(SDN)control... Edge intelligence brings the deployment of applied deep learning(DL)models in edge computing systems to alleviate the core backbone network congestions.The setup of programmable software-defined networking(SDN)control and elastic virtual computing resources within network functions virtualization(NFV)are cooperative for enhancing the applicability of intelligent edge softwarization.To offer advancement for multi-dimensional model task offloading in edge networks with SDN/NFV-based control softwarization,this study proposes a DL mechanism to recommend the optimal edge node selection with primary features of congestion windows,link delays,and allocatable bandwidth capacities.Adaptive partial task offloading policy considered the DL-based recommendation to modify efficient virtual resource placement for minimizing the completion time and termination drop ratio.The optimization problem of resource placement is tackled by a deep reinforcement learning(DRL)-based policy following the Markov decision process(MDP).The agent observes the state spaces and applies value-maximized action of available computation resources and adjustable resource allocation steps.The reward formulation primarily considers taskrequired computing resources and action-applied allocation properties.With defined policies of resource determination,the orchestration procedure is configured within each virtual network function(VNF)descriptor using topology and orchestration specification for cloud applications(TOSCA)by specifying the allocated properties.The simulation for the control rule installation is conducted using Mininet and Ryu SDN controller.Average delay and task delivery/drop ratios are used as the key performance metrics. 展开更多
关键词 Deep learning partial task offloading software-defined networking virtual machine virtual network functions
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SAVNFV:Towards a Scalable and Accurate Inter-Domain Source Address Validation Platform with Network Functions Virtualization 认领 引用
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作者 Shu Yang Zequn Zhang Laizhong Cui 《Big Data Mining and Analytics》 EI CSCD 2026年第2期536-553,共18页
Nowadays,Source Address Validation(SAV)is increasingly important for defending Distributed Denial of Service(DDoS)attacks and other malicious activities.Existing ingress/edge filtering-based solutions,such as SAVI,fil... Nowadays,Source Address Validation(SAV)is increasingly important for defending Distributed Denial of Service(DDoS)attacks and other malicious activities.Existing ingress/edge filtering-based solutions,such as SAVI,filter spoofed source addresses using Access Control Lists(ACL)or unicast Reverse Path Forwarding(uRPF),but they only provide coarse-grained filtering.Source Address Validation in intra-domain and inter-domain NETworks(SAVNET)has recently attracted much attention in both industry and the Internet Engineering Task Force(IETF),deploying SAV inside Internet Service Provider(ISP)networks and generating SAV tables by binding source address prefixes with incoming interfaces.However,SAVNET requires upgrading almost all routers across networks,which is impractical—especially in inter-domain scenarios.Moreover,due to policy routing and load balancing,determining the exact incoming interface for each source prefix is challenging.In this paper,we propose SAVNFV,a Network Functions Virtualization(NFV)based platform that provides SAV capabilities by building a“clean”virtual overlay network.SAVNFV randomly generates paths for each flow through a centralized controller,making the SAV table easy to obtain.The paths are periodically refreshed,and packets are transmitted through multiple routes,making it nearly impossible for attackers to identify the correct incoming interface.We formulate the multi-path transmission as an optimization problem and prove it to be NP-Complete,then design approximation algorithms with theoretical guarantees.Comprehensive simulations show that SAVNFV blocks 94.6%more malicious traffic than traditional solutions while maintaining acceptable path stretch.We also implement the system using open-source routing software and build a real-world experimental platform to further validate our design. 展开更多
关键词 Source Address Validation(SAV) Network Functions Virtualization(NFV) Distributed Denial of Service(DDoS)attacks multi-path routing
Effective Edge-Cloud Interplay for NFV-Based Optical Metro-Access Networks Supporting IoT Services 认领 引用 被引量：2
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作者 Jin Feiming Zhang Yukun +2 位作者 Li Hanxue Amr Tolba Zhang Tiantian 《China Communications》 SCIE EI CSCD 2025年第4期117-128,共12页
In optical metro-access networks,Access Points(APs)and Data Centers(DCs)are located on the fiber ring.In the cloud-centric solution,a large number of Internet of Things(IoT)data pose an enormous burden on DCs,so the V... In optical metro-access networks,Access Points(APs)and Data Centers(DCs)are located on the fiber ring.In the cloud-centric solution,a large number of Internet of Things(IoT)data pose an enormous burden on DCs,so the Virtual Machines(VMs)cannot be successfully launched due to the server overload.In addition,transferring the data from the AP to the remote DC may cause an undesirable delivery delay.For this end,we propose a promising solution considering the interplay between the cloud DC and edge APs.More specifically,bringing the partial capability of computing in APs close to things can reduce the pressure of DCs while guaranteeing the expected Quality of Service(QoS).In this work,when the cloud DC resource becomes limited,especially for delay sensitive but not computing-dependent IoT applications,we degrade their VMs and migrate them to edge APs instead of the remote DC.To avoid excessive VM degradation and computing offloading,we derive appropriate VM degradation coefficients based on classic microeconomic theory.Simulation results demonstrate that our algorithms improve the service providers'utility with the ratio from 34%to 89%over traditional cloud-centric solutions. 展开更多
关键词 computing offloading edge-cloud interplay network function virtualization optical metroaccess network service degradability
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Priority-Aware Resource Allocation for VNF Deployment in Service Function Chains Based on Graph Reinforcement Learning 认领 引用
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作者 Seyha Ros Seungwoo Kang +3 位作者 Taikuong Iv Inseok Song Prohim Tam Seokhoon Kim 《Computers, Materials & Continua》 SCIE EI 2025年第5期1649-1665,共17页
Recently,Network Functions Virtualization(NFV)has become a critical resource for optimizing capability utilization in the 5G/B5G era.NFV decomposes the network resource paradigm,demonstrating the efficient utilization... Recently,Network Functions Virtualization(NFV)has become a critical resource for optimizing capability utilization in the 5G/B5G era.NFV decomposes the network resource paradigm,demonstrating the efficient utilization of Network Functions(NFs)to enable configurable service priorities and resource demands.Telecommunications Service Providers(TSPs)face challenges in network utilization,as the vast amounts of data generated by the Internet of Things(IoT)overwhelm existing infrastructures.IoT applications,which generate massive volumes of diverse data and require real-time communication,contribute to bottlenecks and congestion.In this context,Multiaccess Edge Computing(MEC)is employed to support resource and priority-aware IoT applications by implementing Virtual Network Function(VNF)sequences within Service Function Chaining(SFC).This paper proposes the use of Deep Reinforcement Learning(DRL)combined with Graph Neural Networks(GNN)to enhance network processing,performance,and resource pooling capabilities.GNN facilitates feature extraction through Message-Passing Neural Network(MPNN)mechanisms.Together with DRL,Deep Q-Networks(DQN)are utilized to dynamically allocate resources based on IoT network priorities and demands.Our focus is on minimizing delay times for VNF instance execution,ensuring effective resource placement,and allocation in SFC deployments,offering flexibility to adapt to real-time changes in priority and workload.Simulation results demonstrate that our proposed scheme outperforms reference models in terms of reward,delay,delivery,service drop ratios,and average completion ratios,proving its potential for IoT applications. 展开更多
关键词 Deep reinforcement learning graph neural network multi-access edge computing network functions virtualization software-defined networking
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Service Function Chain Migration in LEO Satellite Networks 认领 引用 被引量：2
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作者 Geng Yuhui Wang Niwei +5 位作者 Chen Xi Xu Xiaofan Zhou Changsheng Yang Junyi Xiao Zhenyu Cao Xianbin 《China Communications》 SCIE CSCD 2024年第3期247-259,共13页
With the advancements of software defined network(SDN)and network function virtualization(NFV),service function chain(SFC)placement becomes a crucial enabler for flexible resource scheduling in low earth orbit(LEO)sat... With the advancements of software defined network(SDN)and network function virtualization(NFV),service function chain(SFC)placement becomes a crucial enabler for flexible resource scheduling in low earth orbit(LEO)satellite networks.While due to the scarcity of bandwidth resources and dynamic topology of LEO satellites,the static SFC placement schemes may cause performance degradation,resource waste and even service failure.In this paper,we consider migration and establish an online migration model,especially considering the dynamic topology.Given the scarcity of bandwidth resources,the model aims to maximize the total number of accepted SFCs while incurring as little bandwidth cost of SFC transmission and migration as possible.Due to its NP-hardness,we propose a heuristic minimized dynamic SFC migration(MDSM)algorithm that only triggers the migration procedure when new SFCs are rejected.Simulation results demonstrate that MDSM achieves a performance close to the upper bound with lower complexity. 展开更多
关键词 network function virtualization(NFV) resource allocation satellite networks service function chain(SFC) SFC migration SFC placement soft-ware defined network(SDN)
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Space Network Emulation System Based on a User-Space Network Stack 认领 引用
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作者 LEI Jianzhe ZHAO Kanglian +1 位作者 HOU Dongxu ZHOU Fenlin 《ZTE Communications》 2025年第2期11-19,共9页
This paper presents a space network emulation system based on a user-space network stack named Nos to solve space networks'unique architecture and routing issues and kernel stacks'inefficiency and development ... This paper presents a space network emulation system based on a user-space network stack named Nos to solve space networks'unique architecture and routing issues and kernel stacks'inefficiency and development complexity.Our low Earth orbit satellite scenario emulation verifies the dynamic routing function of the protocol stack.The proposed system uses technologies like Open vSwitch(OVS)and traffic control(TC)to emulate the space network's highly dynamic topology and time-varying link characteristics.The emulation results demonstrate the system's high reliability,and the user-space network stack reduces development complexity and debugging difficulty,providing convenience for the development of space network protocols and network functions. 展开更多
关键词 network emulation space network user-space network stack network function virtualization
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Security Monitoring and Management for the Network Services in the Orchestration of SDN-NFV Environment Using Machine Learning Techniques 认领 引用 被引量：2
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作者 Nasser Alshammari Shumaila Shahzadi +7 位作者 Saad Awadh Alanazi Shahid Naseem Muhammad Anwar Madallah Alruwaili Muhammad Rizwan Abid Omar Alruwaili Ahmed Alsayat Fahad Ahmad 《Computer Systems Science & Engineering》 2024年第2期363-394,共32页
Software Defined Network(SDN)and Network Function Virtualization(NFV)technology promote several benefits to network operators,including reduced maintenance costs,increased network operational performance,simplified ne... Software Defined Network(SDN)and Network Function Virtualization(NFV)technology promote several benefits to network operators,including reduced maintenance costs,increased network operational performance,simplified network lifecycle,and policies management.Network vulnerabilities try to modify services provided by Network Function Virtualization MANagement and Orchestration(NFV MANO),and malicious attacks in different scenarios disrupt the NFV Orchestrator(NFVO)and Virtualized Infrastructure Manager(VIM)lifecycle management related to network services or individual Virtualized Network Function(VNF).This paper proposes an anomaly detection mechanism that monitors threats in NFV MANO and manages promptly and adaptively to implement and handle security functions in order to enhance the quality of experience for end users.An anomaly detector investigates these identified risks and provides secure network services.It enables virtual network security functions and identifies anomalies in Kubernetes(a cloud-based platform).For training and testing purpose of the proposed approach,an intrusion-containing dataset is used that hold multiple malicious activities like a Smurf,Neptune,Teardrop,Pod,Land,IPsweep,etc.,categorized as Probing(Prob),Denial of Service(DoS),User to Root(U2R),and Remote to User(R2L)attacks.An anomaly detector is anticipated with the capabilities of a Machine Learning(ML)technique,making use of supervised learning techniques like Logistic Regression(LR),Support Vector Machine(SVM),Random Forest(RF),Naïve Bayes(NB),and Extreme Gradient Boosting(XGBoost).The proposed framework has been evaluated by deploying the identified ML algorithm on a Jupyter notebook in Kubeflow to simulate Kubernetes for validation purposes.RF classifier has shown better outcomes(99.90%accuracy)than other classifiers in detecting anomalies/intrusions in the containerized environment. 展开更多
关键词 Software defined network network function virtualization network function virtualization management and orchestration virtual infrastructure manager virtual network function Kubernetes Kubectl artificial intelligence machine learning
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SFC placement and dynamic resource allocation based on VNF performance-resource function and service requirement in cloud-edge environment 认领 引用
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作者 HAN Yingchao MENG Weixiao FAN Wentao 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第4期906-921,共16页
With the continuous development of network func-tions virtualization(NFV)and software-defined networking(SDN)technologies and the explosive growth of network traffic,the requirement for computing resources in the netw... With the continuous development of network func-tions virtualization(NFV)and software-defined networking(SDN)technologies and the explosive growth of network traffic,the requirement for computing resources in the network has risen sharply.Due to the high cost of edge computing resources,coordinating the cloud and edge computing resources to improve the utilization efficiency of edge computing resources is still a considerable challenge.In this paper,we focus on optimiz-ing the placement of network services in cloud-edge environ-ments to maximize the efficiency.It is first proved that,in cloud-edge environments,placing one service function chain(SFC)integrally in the cloud or at the edge can improve the utilization efficiency of edge resources.Then a virtual network function(VNF)performance-resource(P-R)function is proposed to repre-sent the relationship between the VNF instance computing per-formance and the allocated computing resource.To select the SFCs that are most suitable to deploy at the edge,a VNF place-ment and resource allocation model is built to configure each VNF with its particular P-R function.Moreover,a heuristic recur-sive algorithm is designed called the recursive algorithm for max edge throughput(RMET)to solve the model.Through simula-tions on two scenarios,it is verified that RMET can improve the utilization efficiency of edge computing resources. 展开更多
关键词 cloud-edge environment virtual network function(VNF)performance-resource(P-R)function edge resource allo-cation
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AI驱动的网络功能虚拟化:下一代网络的自动化与弹性扩展 认领 引用
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作者 梁桂才 李玉荣 《通信与信息技术》 2026年第1期125-131,共7页
提出一种基于人工智能(AI)的网络功能虚拟化(NFV)架构,以提升网络管理的自动化、弹性和智能化水平。通过集成深度学习和强化学习算法,AI驱动的NFV实现了动态资源分配、实时流量预测和智能故障恢复。实验结果表明,相较于传统NFV,AI驱动... 提出一种基于人工智能(AI)的网络功能虚拟化(NFV)架构,以提升网络管理的自动化、弹性和智能化水平。通过集成深度学习和强化学习算法,AI驱动的NFV实现了动态资源分配、实时流量预测和智能故障恢复。实验结果表明,相较于传统NFV,AI驱动架构在资源利用率上提升了20%、系统响应时间减少了30%、网络吞吐量提高了25%、丢包率降低了15%、服务质量(QoS)提升了10%及故障恢复时间缩短了30%。消融实验验证了各AI组件的有效性。研究还探讨了该架构在5G/6G、智能边缘计算和云网络中的应用潜力,展示了其优化网络性能和管理效率的显著优势。尽管面临训练数据需求和算法复杂度等挑战,研究表明AI驱动NFV在未来网络中具有广阔的应用前景。 展开更多
关键词 AI 网络功能虚拟化 自动化 弹性扩展
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基于强化学习的服务功能链部署综述 认领 引用
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作者 爱因坦 阮宏玮 +1 位作者 刘翰林 李华 《计算机研究与发展》 EI CSCD 北大核心 2026年第2期505-524,共20页
在软件定义网络和网络功能虚拟化范式下,服务功能链(service function chaining,SFC)技术通过灵活编排虚拟网络功能实现了网络服务的定制化部署。然而,动态网络环境下SFC部署面临着决策空间大、环境复杂多变等挑战。强化学习因其自适应... 在软件定义网络和网络功能虚拟化范式下,服务功能链(service function chaining,SFC)技术通过灵活编排虚拟网络功能实现了网络服务的定制化部署。然而,动态网络环境下SFC部署面临着决策空间大、环境复杂多变等挑战。强化学习因其自适应学习复杂环境特征并动态决策的能力,在解决SFC部署问题上展现出显著优势。该研究首先阐述了SFC部署的基本概念与技术架构,并具体介绍了基于强化学习的SFC部署框架。随后,从算法设计、应用场景和优化策略等角度,梳理并深入分析了强化学习在SFC放置、调度和重配置3个关键阶段中的研究进展与创新应用。最后,总结了现有研究在算法设计、性能优化和实际部署方面的优势与局限,并分析了该领域的技术挑战与未来发展趋势。 展开更多
关键词 服务功能链 强化学习 资源优化 虚拟网络功能 智能部署
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SFC Design and VNF Placement Based on Traffic Volume Scaling and VNF Dependency in 5G Networks 认领 引用
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作者 Zhihao Zeng Zixiang Xia +1 位作者 Xiaoning Zhang Yexiao 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第3期1791-1814,共24页
The development of Fifth-Generation(5G)mobile communication technology has remarkably promoted the spread of the Internet of Things(IoT)applications.As a promising paradigm for IoT,edge computing can process the amoun... The development of Fifth-Generation(5G)mobile communication technology has remarkably promoted the spread of the Internet of Things(IoT)applications.As a promising paradigm for IoT,edge computing can process the amount of data generated by mobile intelligent devices in less time response.Network Function Virtualization(NFV)that decouples network functions from dedicated hardware is an important architecture to implement edge computing,deploying heterogeneous Virtual Network Functions(VNF)(such as computer vision,natural language processing,intelligent control,etc.)on the edge service nodes.With the NFV MANO(Management and Orchestration)framework,a Service Function Chain(SFC)that contains a set of ordered VNFs can be constructed and placed in the network to offer a customized network service.However,the procedure of NFV orchestration faces a technical challenge in minimizing the network cost of VNF placement due to the complexity of the changing effect of traffic volume and the dependency on theVNFrelationship.To this end,we jointly optimize SFC design and VNF placement to minimize resource cost while taking account of VNF dependency and traffic volume scaling.First,the problem is formulated as an Integer Linear Programming(ILP)model and proved NPhard by reduction from Hamiltonian Cycle problem.Then we proposed an efficient heuristic algorithm called Traffic Aware and Interdependent VNF Placement(TAIVP)to solve the problem.Compared with the benchmark algorithms,emulation results show that our algorithm can reduce network cost by 10.2%and increase service request acceptance rate by 7.6%on average. 展开更多
关键词 Network function virtualization virtual network function service function chain resource allocation routing
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A movement-assisted software-defined sensor network with NFV support 认领 引用 被引量：2
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作者 Yin Haohao Ding Cui +2 位作者 Yan Feng Xia Weiwei Shen Lianfeng 《Journal of Southeast University(English Edition)》 EI CAS 2018年第2期156-165,共10页
A flexible and controllable movement-assisted software-defined sensor network(MA-SDSN)based on the software-defined network(SDN)and network function virtualization(NFV)is proposed.First,a three-layer fundamental archi... A flexible and controllable movement-assisted software-defined sensor network(MA-SDSN)based on the software-defined network(SDN)and network function virtualization(NFV)is proposed.First,a three-layer fundamental architecture is proposed to overcome the inherent distributed management and rigidity of the conventional wireless sensor networks.Furthermore,the platform for research and development of MA-SDSN is established,and the dumb node(DN),the software-defined node(SN)and the movement-assisted node(MN)are designed and implemented.Then,the southbound application programming interface(API)is designed to provide a series of frames for communication between controllers and sensor nodes.The northbound API is developed and demonstrated overall and in detail.The functions of the controller are presented including topology discovery,dynamic networking,packet processing,mobility management and virtualization.Followed by the MA-SDSN network model,a Markov chain-based movement-assisted weighted relocation(MMWR)topology control algorithm is proposed to redeploy the MNs based on the node status and weight.Simulation results and analysis indicate that the proposed algorithm based on the MA-SDSN extends network lifetime with a lower average power consumption. 展开更多
关键词 software-defined sensor network network function virtualization movement-assisted topology control
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新型电力系统中数字孪生辅助的网络切片资源分配 认领 引用
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作者 唐奕明 刘崇茹 《半导体光电》 CAS 北大核心 2026年第2期407-416,共10页
针对新型电力系统中服务功能链(SFC)部署面临的资源需求动态变化与低时延需求,文章提出一种数字孪生辅助的虚拟网络功能(VNF)映射与关联优化算法。首先,通过构建VNF数字孪生体实时采集资源需求信息,建立以最小化SFC端到端时延和VNF平均... 针对新型电力系统中服务功能链(SFC)部署面临的资源需求动态变化与低时延需求,文章提出一种数字孪生辅助的虚拟网络功能(VNF)映射与关联优化算法。首先,通过构建VNF数字孪生体实时采集资源需求信息,建立以最小化SFC端到端时延和VNF平均数字孪生同步时延为目标的马尔科夫决策过程(MDP)模型,并考虑计算、存储及带宽资源约束。其次,将原问题分解为VNF映射与孪生服务节点关联两个阶段,分别提出基于分布式近端策略优化(DPPO)的VNF映射算法和基于优势演员-评论家(A2C)的孪生服务节点关联算法,以应对大规模SFC场景下的动作空间爆炸与策略波动问题。仿真结果表明,所提算法能够有效降低SFC端到端时延及VNF数字孪生同步时延,在多业务动态环境下具备良好的收敛性与资源适配能力。 展开更多
关键词 新型电力系统 虚拟网络功能 服务功能连端到端时延 VNF平均数字孪生同步时延
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GPP Based Open Cellular Network Towards 5G 认领 引用 被引量：2
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作者 Jiang Wang Jing Xu +1 位作者 Yang Yang Haidong Xu 《China Communications》 SCIE CSCD 2017年第6期189-198,共10页
Due to 5G's stringent and uncertainty traffic requirements,open ecosystem would be one inevitable way to develop 5G.On the other hand,GPP based mobile communication becomes appealing recently attributed to its str... Due to 5G's stringent and uncertainty traffic requirements,open ecosystem would be one inevitable way to develop 5G.On the other hand,GPP based mobile communication becomes appealing recently attributed to its striking advantage in flexibility and re-configurability.In this paper,both the advantages and challenges of GPP platform are detailed analyzed.Furthermore,both GPP based software and hardware architectures for open 5G are presented and the performances of real-time signal processing and power consumption are also evaluated.The evaluation results indicate that turbo and power consumption may be another challengeable problem should be further solved to meet the requirements of realistic deployments. 展开更多
关键词 open 5G general purpose processor （GPP） real-time signal processing software defined network （SDN） network function virtualization （NFV）
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Service Function Chain Orchestration across Multiple Clouds 认领 引用 被引量：1
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作者 Xuxia Zhong Ying Wang Xuesong Qiu 《China Communications》 SCIE CSCD 2018年第10期99-116,共18页
Network function virtualization is a new network concept that moves network functions from dedicated hardware to software-defined applications running on standard high volume severs. In order to accomplish network ser... Network function virtualization is a new network concept that moves network functions from dedicated hardware to software-defined applications running on standard high volume severs. In order to accomplish network services, traffic flows are usually processed by a list of network functions in sequence which is defined by service function chain. By incorporating network function virtualization in inter-data center(DC) network, we can use the network resources intelligently and deploy network services faster. However, orchestrating service function chains across multiple data centers will incur high deployment cost, including the inter-data center bandwidth cost, virtual network function cost and the intra-data center bandwidth cost. In this paper, we orchestrate SFCs across multiple data centers, with a goal to minimize the overall cost. An integer linear programming(ILP) model is formulated and we provide a meta-heuristic algorithm named GBAO which contains three modules to solve it. We implemented our algorithm in Python and performed side-by-side comparison with prior algorithms. Simulation results show that our proposed algorithm reduces the overall cost by at least 21.4% over the existing algorithms for accommodating the same service function chain requests. 展开更多
关键词 network function virtualization service function chain orchestration inter-DC network
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基于遗传算法的服务功能链贪心备份方法研究 认领 引用
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作者 杨雪 陈卓 《软件导刊》 2026年第4期140-147,共8页
在网络功能虚拟化(NFV)环境中,虚拟网络功能及其基础设施的故障可能会严重损害服务功能链的可用性,并影响整体网络性能,成为NFV架构中的核心挑战之一。为了应对这一难题,提出一种基于遗传算法的服务功能链贪心备份方法。首先,提出一种... 在网络功能虚拟化(NFV)环境中,虚拟网络功能及其基础设施的故障可能会严重损害服务功能链的可用性,并影响整体网络性能,成为NFV架构中的核心挑战之一。为了应对这一难题,提出一种基于遗传算法的服务功能链贪心备份方法。首先,提出一种基于生成对抗网络(GAN)的边缘节点故障预测模型,以预测节点的健康状况;其次,优先选择能够显著提升系统可用性的VNF作为备份对象,从而减少所需的备份VNF数量;最后,利用遗传算法的迭代优化,为需要备份的VNF部署最优的节点和链路,提出一种确保服务功能链高可用性的备份方法。仿真结果表明,相比KSP方法,该方案将资源消耗降低32%,服务链请求接受率提升11%,平均备份比例稳定维持在0.5。该方法通过“预测—筛选—优化”的闭环机制,显著提升了动态网络环境下服务链的鲁棒性与资源利用效率。 展开更多
关键词 故障预测 遗传算法 虚拟网络功能 可用性 备份
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