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六层网络体系结构的分析与研究 预览
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作者 贺道德 余廷忠 +1 位作者 刘传山 刘信良 《贵州工程应用技术学院学报》 2019年第3期74-78,共5页
目前流行的计算机网络体系结构主要有国际标准化组织ISO提出的七层OSI参考模型和以TCP/IP协议簇为中心的四层Internet参考模型,针对OSI参考模型上层分层过多与Internet参考模型下层分层过少而引来的不足,提出六层网络体系结构,分析了网... 目前流行的计算机网络体系结构主要有国际标准化组织ISO提出的七层OSI参考模型和以TCP/IP协议簇为中心的四层Internet参考模型,针对OSI参考模型上层分层过多与Internet参考模型下层分层过少而引来的不足,提出六层网络体系结构,分析了网络体系结构相比于主流体系结构的优势,讨论了媒体访问控制协议簇,从理论上分析参考模型对网络的万物互联具有一定的参考价值。 展开更多
关键词 计算机网络 网络体系结构 网络协议 网络参考模型
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SDNMS:A Software Defined Network Measurement System for NFV Networks 预览
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作者 Tianqi Zhang Ming Chen +2 位作者 Xianglin Wei Bing Chen Chao Hu 《中国通信:英文版》 SCIE CSCD 2019年第4期59-74,共16页
As a promising technology to completely transform how we architect,deploy,operate and manage various networks,software-based Network Function Virtualization(NFV)enables hardware-independent,flexible,fast and efficient... As a promising technology to completely transform how we architect,deploy,operate and manage various networks,software-based Network Function Virtualization(NFV)enables hardware-independent,flexible,fast and efficient network service provision.With the increasing popularity of NFV paradigm,the Internet has also transformed to be a hybrid environment where NFV-based network entities coexist with traditional network devices.To facilitate our understanding,design,evaluate and manage of such novel network environment,there is a great need for a new NFV-compatible network measurement system which is still in absent so far.To bridge this gap,a system,named Software Defined Network Measurement System(SDNMS),is presented in this paper.Firstly,the architecture of SDNMS is proposed.In this architecture,a formal method to describe the working mode of the network measurement is defined.This method can also be utilized to generate a network measurement middle box(NMMB)in a specific location of the NFV network according to the customized description file,and to flexibly deploy the network measurement function.Secondly,the technology of virtual network measurement function(VNMF)combined with LXC is studied to form NMMB function.Thirdly,a control method is presented to control the start,stop,and update NMMB to form a specific network measurement system function.Finally,a prototype of SDNMS with network monitoring function to monitor network performance anomalies and locate faults is introduced.Experimental results have shown that SDNMS architecture and related technologies are feasible and effective to deploy and control network measurement functions in NFV networks.We hope SDNMS could provide a new method for practitioners to conduct network management and research at the age of NFV. 展开更多
关键词 NETWORK FUNCTION VIRTUALIZATION NETWORK MEASUREMENT system architecture NETWORK MEASUREMENT FUNCTION service CHAIN
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Topological evolution of coexpression networks by new gene integration maintains the hierarchical and modular structures in human ancestors
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作者 Jian Zu Yuexi Gu +6 位作者 Yu Li Chentong Li Wenyu Zhang Yong E.Zhang UnJin Lee Li Zhang Manyuan Long 《中国科学:生命科学英文版》 SCIE CAS CSCD 2019年第4期594-608,共15页
We analyze the global structure and evolution of human gene coexpression networks driven by new gene integration.When the Pearson correlation coefficient is greater than or equal to 0.5,we find that the coexpression n... We analyze the global structure and evolution of human gene coexpression networks driven by new gene integration.When the Pearson correlation coefficient is greater than or equal to 0.5,we find that the coexpression network consists of 334 small components and one "giant" connected subnet comprising of 6317 interacting genes.This network shows the properties of power-law degree distribution and small-world.The average clustering coefficient of younger genes is larger than that of the elderly genes(0.6685 vs.0.5762).Particularly,we find that the younger genes with a larger degree also show a property of hierarchical architecture.The younger genes play an important role in the overall pivotability of the network and this network contains few redundant duplicate genes.Moreover,we find that gene duplication and orphan genes are two dominant evolutionary forces in shaping this network.Both the duplicate genes and orphan genes develop new links through a "rich-gets-richer"mechanism.With the gradual integration of new genes into the ancestral network,most of the topological structure features of the network would gradually increase.However,the exponent of degree distribution and modularity coefficient of the whole network do not change significantly,which implies that the evolution of coexpression networks maintains the hierarchical and modular structures in human ancestors. 展开更多
关键词 NETWORK biology GENE NETWORK EVOLUTION SCALE-FREE NETWORK natural selection GENE expression self-organization gene DUPLICATION
Analysis on multiple optical line terminal passive optical network based open access network
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作者 Love KUMAR Amarpal SINGH Vishal SHARMA 《中国光电子学前沿:英文版》 EI CSCD 2019年第2期208-214,共7页
Passive optical networks (PONs) offer suffi-cient bandwidth to transfer huge amount having different packet sizes and data rates being generated by fusion of various networks. Additionally, multiple optical line termi... Passive optical networks (PONs) offer suffi-cient bandwidth to transfer huge amount having different packet sizes and data rates being generated by fusion of various networks. Additionally, multiple optical line terminals (OLTs) PONs reduce the computational com-plexity of data processing for nonuniform traffic. However, in order to improve the bandwidth allocation efficiency of a mixture of service providers, dynamic bandwidth algo-rithm (DBA) is needed for uplink communication. In this paper, a PON based open access network (OAN) is analyzed for bi-directional communication at various data rates. Multiple wavelengths are used to modulate the data of various service providers to evade the complicated DBA for uplink data broadcasting. The performance of the network is reported in terms of bandwidth exploitation, uplink effectiveness, overhead-to-data ratio and time cycle duration. The network is analyzed at various data rates to reveal the data accommodation capacity. 展开更多
关键词 PASSIVE OPTICAL NETWORK (PON) open access NETWORK (OAN) OPTICAL line terminal (OLT) hybrid NETWORK
Evaluation of Scholar’s Contribution to Team Based on Weighted Co-author Network 预览
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作者 Xinmeng Zhang Xinguang Li +2 位作者 Shengyi Jiang Xia Li Bolin Xie 《国际计算机前沿大会会议论文集》 2019年第1期59-61,共3页
The contributions of scientific researchers include personal influence and talent training achievements. In this paper, using 9964 high-quality coauthor scientific papers in English teaching research from China citati... The contributions of scientific researchers include personal influence and talent training achievements. In this paper, using 9964 high-quality coauthor scientific papers in English teaching research from China citation database from 1997 to 2016, a weighted coauthor network with variety factors is constructed. A model was proposed to calculate the author’s contribution to the research team by combining personal and network characteristics. The results reveal a variety of characteristics of the co-author networks in English teaching research field, including statistical properties, community features, and authors’ contribution to teams in this discipline. 展开更多
关键词 Social NETWORK analysis CO-AUTHOR NETWORK Research TEAM ACADEMIC CONTRIBUTION
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Space Efficient Quantization for Deep Convolutional Neural Networks
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作者 Dong-Di Zhao Fan Li +2 位作者 Kashif Sharif Guang-Min Xia Yu Wang 《计算机科学技术学报:英文版》 SCIE EI CSCD 2019年第2期305-317,共13页
Deep convolutional neural networks(DCNNs)have shown outstanding performance in the fields of computer vision,natural language processing,and complex system analysis.With the improvement of performance with deeper laye... Deep convolutional neural networks(DCNNs)have shown outstanding performance in the fields of computer vision,natural language processing,and complex system analysis.With the improvement of performance with deeper layers,DCNNs incur higher computational complexity and larger storage requirement,making it extremely difficult to deploy DCNNs on resource-limited embedded systems(such as mobile devices or Internet of Things devices).Network quantization efficiently reduces storage space required by DCNNs.However,the performance of DCNNs often drops rapidly as the quantization bit reduces.In this article,we propose a space efficient quantization scheme which uses eight or less bits to represent the original 32-bit weights.We adopt singular value decomposition(SVD)method to decrease the parameter size of fully-connected layers for further compression.Additionally,we propose a weight clipping method based on dynamic boundary to improve the performance when using lower precision.Experimental results demonstrate that our approach can achieve up to approximately 14x compression while preserving almost the same accuracy compared with the full-precision models.The proposed weight clipping method can also significantly improve the performance of DCNNs when lower precision is required. 展开更多
关键词 convolutional NEURAL NETWORK MEMORY compression NETWORK QUANTIZATION
A New Approach to Multivariate Network Traffic Analysis
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作者 Jinoh Kim Alex Sim 《计算机科学技术学报:英文版》 SCIE EI CSCD 2019年第2期388-402,共15页
Network traffic analysis is one of the core functions in network monitoring for effective network operations and management.While online traffic analysis has been widely studied,it is still intensively challenging due... Network traffic analysis is one of the core functions in network monitoring for effective network operations and management.While online traffic analysis has been widely studied,it is still intensively challenging due to several reasons.One of the primary challenges is the heavy volume of traffic to analyze within a finite amount of time due to the increasing network bandwidth.Another important challenge for effective traffic analysis is to support multivariate functions of traffic variables to help administrators identify unexpected network events intuitively.To this end,we propose a new approach with the multivariate analysis that offers a high-level summary of the online network traffic.With this approach,the current state of the network will display patterns compiled from a set of traffic variables,and the detection problems in network monitoring(e.g.,change detection and anomaly detection)can be reduced to a pattern identification and classification problem.In this paper,we introduce our preliminary work with clustered patterns for online,multivariate network traffic analysis with the challenges and limitations we observed.We then present a grid-based model that is designed to overcome the limitations of the clustered pattern-based technique.We will discuss the potential of the new model with respect to the technical challenges including streaming-based computation and robustness to outliers. 展开更多
关键词 NETWORK TRAFFIC ANALYSIS MULTIVARIATE ANALYSIS time-series SIMILARITY NETWORK MONITORING
Future Internet: trends and challenges
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作者 Jiao ZHANG Tao HUANG +1 位作者 Shuo WANG Yun-jie LIU 《信息与电子工程前沿:英文版》 SCIE EI CSCD 2019年第9期1185-1194,共10页
Traditional networks face many challenges due to the diversity of applications,such as cloud computing,Internet of Things,and the industrial Internet.Future Internet needs to address these challenges to improve networ... Traditional networks face many challenges due to the diversity of applications,such as cloud computing,Internet of Things,and the industrial Internet.Future Internet needs to address these challenges to improve network scalability,security,mobility,and quality of service.In this work,we survey the recently proposed architectures and the emerging technologies that meet these new demands.Some cases for these architectures and technologies are also presented.We propose an integrated framework called the service customized network which combines the strength of current architectures,and discuss some of the open challenges and opportunities for future Internet.We hope that this work can help readers quickly understand the problems and challenges in the current research and serves as a guide and motivation for future network research. 展开更多
关键词 Future Internet Network axchitecture Service customized network
Synthesis of the fluid machinery network in a circulating water system
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作者 Wei Gao Xiao Feng 《中国化学工程学报:英文版》 SCIE EI CAS CSCD 2019年第3期587-597,共11页
Energy consumption of the fluid machinery network in a circulating water system takes up a large part of energy consumption in the process industry,so optimization on the network will enhance the economic and environm... Energy consumption of the fluid machinery network in a circulating water system takes up a large part of energy consumption in the process industry,so optimization on the network will enhance the economic and environmental performance of the industry.In this paper,a synthesis approach is proposed to obtain the optimal network structure.The effective height curves are used as tools to perform energy analysis,so that the potential placement of water turbines and auxiliary pumps can be determined with energy benefit.Then economic optimization is carried out,by the mathematical model with the total cost as the objective function,to identify the branches for water turbines and auxiliary pumps with economic benefit.In this way,the optimal fluid machinery network structure can be obtained.The results of case study indicate that the proposed synthesis approach to optimize the fluid machinery network will obtain more remarkable benefits on economy,compared to optimizing only the water turbine network or pump network.The results under different flowrates of circulating water reveal that using a water turbine to recover power or adding an auxiliary pump to save energy in branches are only suitable to the flowrate in a certain range. 展开更多
关键词 FLUID MACHINERY NETWORK SYNTHESIS approach Flowrate RANGE NETWORK STRUCTURE
Geospatial Data to Images:A Deep-Learning Framework for Traffic Forecasting
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作者 Weiwei Jiang Lin Zhang 《清华大学学报自然科学版(英文版)》 EI CAS CSCD 2019年第1期52-64,共13页
Traffic forecasting has been an active research field in recent decades,and with the development of deep- learning technologies,researchers are trying to utilize deep learning to achieve tremendous improvements in tra... Traffic forecasting has been an active research field in recent decades,and with the development of deep- learning technologies,researchers are trying to utilize deep learning to achieve tremendous improvements in traffic forecasting,as it has been seen in other research areas,such as speech recognition and image classification.In this study,we summarize recent works in which deep-learning methods were applied for geospatial data-based traffic forecasting problems.Based on the insights from previous works,we further propose a deep-learning framework, which transforms geospatial data to images,and then utilizes the state-of-the-art deep-learning methodologies such as Convolutional Neural Network (CNN)and residual networks.To demonstrate the simplicity and effectiveness of our framework,we present a formulation of the New York taxi pick-up/drop-off forecasting problem,and show that our framework significantly outperforms traditional methods,including Historical Average (HA)and AutoRegressive Integrated Moving Average (ARIMA). 展开更多
关键词 GEOSPATIAL data deep LEARNING convolutional NEURAL NETWORK RESIDUAL NETWORK traffic forecasting
机房计算机网络漏洞与病毒防御 预览
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作者 白益铖 乔毅 邱霜玲 《数字技术与应用》 2019年第4期197-198,共2页
信息技术发展到今天,随着技术的不断进步,网络安全问题也经常发生。小到自家电脑的入侵,大到棱镜门的监控,所以网络环境中无时无刻都受到病毒、黑客等因素的威胁,从而导致自身乃至于国家的数据库、文档、数据等资料受到入侵和破坏。例如... 信息技术发展到今天,随着技术的不断进步,网络安全问题也经常发生。小到自家电脑的入侵,大到棱镜门的监控,所以网络环境中无时无刻都受到病毒、黑客等因素的威胁,从而导致自身乃至于国家的数据库、文档、数据等资料受到入侵和破坏。例如,在2018年勒索病毒入侵个人电脑事件中该病毒就利用各种方式各种渠道侵入个人及公司电脑,用代码方式攻击获取服务器控制权,向被控制的计算机勒索比特币,就算是真正支付了比特币,病毒依然会存在。据部分统计显示,每年中用户计算机中泄露的信息和数据高达数十亿条,拥有云计算、大数据技术的FACEBOOK也出现数据信息泄露的问题,问题呈现持续增长的趋势。 展开更多
关键词 计算机 网络 信息安全 防护策略 网络漏洞
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Exploring Location Pattern of Commercial Stores in Shichahai, Beijing from a Street Centrality Perspective 预览
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作者 ZHANG Yuyang YANG Bowen +3 位作者 ZHANG Mengcai ZHANG Gong SONG Shanshan QI Ling 《中国地理科学:英文版》 SCIE CSCD 2019年第3期503-516,共14页
The location pattern of different commercial stores in Shichahai, a historic conservation area in Beijing, was investigated from a street centrality perspective. Many previous studies have investigated the relationshi... The location pattern of different commercial stores in Shichahai, a historic conservation area in Beijing, was investigated from a street centrality perspective. Many previous studies have investigated the relationship between street centrality and land use patterns or commercial activities at interurban or intraurban scales. We considered Shichahai in this study to determine if street centrality applied at the street scale and if the street network was the only factor influencing the selection of store location. First, the nearest neighbor index, nearest neighbor hierarchical spatial cluster(NNHSC), and kernel density estimation(KDE) methods were used to provide baseline spatial distributions of commercial stores. Second, urban network analysis(UNA) tools were used to measure the street centrality indices under two conditions, with and without the weighting of cultural relics calculated by a principal component analysis(PCA). Finally, both store locations and centrality values at nodes were transformed to one unit(raster pixel) for a correlation analysis.The results showed that three of the four store types were clustered and had their own hotspots that were mostly located in the eastern and central parts of city blocks. The most momentous findings were determined from the street centrality indices. Among the three store types with correlation coefficients above 0.5, all centrality indices with landmark weighting, except straightness, had higher correlations,with closeness with landmark weighting having the highest correlation, followed by betweenness with landmark weighting. Therefore,we statistically concluded that street centrality could apply at the street scale and that the street network was not the only factor that influenced store location pattern, with landmarks also playing a significant role. The results provide guidance in determining the selection strategy for stores in a historic conservation area. 展开更多
关键词 historic conservation area LOCATION selected behavior COMMERCIALIZATION LANDMARK influence Urban NETWORK Analysis tool street NETWORK REVIVAL
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Exploring evolutionary features of directed weighted hazard network in the subway construction
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作者 侯公羽 靳聪 +2 位作者 许哲东 于萍 曹怡怡 《中国物理B:英文版》 SCIE EI CAS CSCD 2019年第3期399-407,共9页
A better understanding of previous accidents is an effective way to reduce the occurrence of similar accidents in the future. In this paper, a complex network approach is adopted to construct a directed weighted hazar... A better understanding of previous accidents is an effective way to reduce the occurrence of similar accidents in the future. In this paper, a complex network approach is adopted to construct a directed weighted hazard network(DWHN) to analyze topological features and evolution of accidents in the subway construction. The nodes are hazards and accidents, the edges are multiple relationships of these nodes and the weight of edges are occurrence times of repetitive relationships. The results indicate that the DWHN possesses the property of small-world with small average path length and large clustering coefficient, indicating that hazards have better connectivity and will spread widely and quickly in the network. Moreover,the DWHN has the property of scale-free network for the cumulative degree distribution follows a power-law distribution.It makes DWHN more vulnerable to target attacks. Controlling key nodes with higher degree, strength and betweenness centrality will destroy the connectivity of DWHN and mitigate the spreading of accidents in the network. This study is helpful for discovering inner relationships and evolutionary features of hazards and accidents in the subway construction. 展开更多
关键词 ACCIDENT analysis directed WEIGHTED NETWORK complex NETWORK EVOLUTIONARY FEATURES
特定虚拟操作环境下多机协同算法优化及实现 预览
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作者 蒋成伟 康兴无 +1 位作者 王旭平 陈俊康 《空军工程大学学报:自然科学版》 CSCD 北大核心 2019年第1期26-31,共6页
针对大型复杂导弹武器装备协同操作在同一时空下的特殊情况,开展局域网这个特定虚拟操作环境下的多机(计算机)协同操作研究。通过Unity3D/network技术进行局域网环境的构建,在network模块内置封装好的组件算法之上,通过加入计数器和控... 针对大型复杂导弹武器装备协同操作在同一时空下的特殊情况,开展局域网这个特定虚拟操作环境下的多机(计算机)协同操作研究。通过Unity3D/network技术进行局域网环境的构建,在network模块内置封装好的组件算法之上,通过加入计数器和控制脚本调用实现算法的优化,进而减少多机协同过程中从服务器到客户端的网络延迟。结果证明:基于优化算法基础的多机协同网络延迟较network模块内置封装好的算法表现更好,完全可以满足特定虚拟操作环境下的多机协同操作。 展开更多
关键词 NETWORK 计数器 多机协同 虚拟仿真
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Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study of Cancer-Staging Data in Biology 预览
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作者 Yufei Liu Yuan Zhou +3 位作者 Xin Liu Fang Dong Chang Wang Zihong Wang 《工程(英文)》 2019年第1期156-163,共8页
It is essential to utilize deep-learning algorithms based on big data for the implementation of the new generation of artificial intelligence. Effective utilization of deep learning relies considerably on the number o... It is essential to utilize deep-learning algorithms based on big data for the implementation of the new generation of artificial intelligence. Effective utilization of deep learning relies considerably on the number of labeled samples, which restricts the application of deep learning in an environment with a small sample size. In this paper, we propose an approach based on a generative adversarial network (GAN) combined with a deep neural network (DNN). First, the original samples were divided into a training set and a test set. The GAN was trained with the training set to generate synthetic sample data, which enlarged the training set. Next, the DNN classifier was trained with the synthetic samples. Finally, the classifier was tested with the test set, and the effectiveness of the approach for multi-classification with a small sample size was validated by the indicators. As an empirical case, the approach was then applied to identify the stages of cancers with a small labeled sample size. The experimental results verified that the proposed approach achieved a greater accuracy than traditional methods. This research was an attempt to transform the classical statistical machine-learning classification method based on original samples into a deep-learning classification method based on data augmentation. The use of this approach will contribute to an expansion of application scenarios for the new generation of artificial intelligence based on deep learning, and to an increase in application effectiveness. This research is also expected to contribute to the comprehensive promotion of new-generation artificial intelligence. 展开更多
关键词 Artificial intelligence GENERATIVE adversarial NETWORK Deep neural NETWORK SMALL SAMPLE size CANCER
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Automatic Detection of Lung Nodules Using 3D Deep Convolutional Neural Networks
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作者 傅玲 马璟琛 +2 位作者 陈奕志 LARSSON Rasmus 赵俊 《上海交通大学学报:英文版》 EI 2019年第4期517-523,共7页
Lung cancer is the leading cause of cancer deaths worldwide. Accurate early diagnosis is critical in increasing the 5-year survival rate of lung cancer, so the efficient and accurate detection of lung nodules,the pote... Lung cancer is the leading cause of cancer deaths worldwide. Accurate early diagnosis is critical in increasing the 5-year survival rate of lung cancer, so the efficient and accurate detection of lung nodules,the potential precursors to lung cancer, is paramount. In this paper, a computer-aided lung nodule detection system using 3D deep convolutional neural networks(CNNs) is developed. The first multi-scale 11-layer 3D fully convolutional neural network(FCN) is used for screening all lung nodule candidates. Considering relative small sizes of lung nodules and limited memory, the input of the FCN consists of 3D image patches rather than of whole images. The candidates are further classified in the second CNN to get the final result. The proposed method achieves high performance in the LUNA16 challenge and demonstrates the effectiveness of using 3D deep CNNs for lung nodule detection. 展开更多
关键词 LUNG NODULE DETECTION COMPUTER-AIDED DETECTION (CAD) convolutional NEURAL NETWORK (CNN) fully convolutional NEURAL NETWORK (FCN)
Study on optimal state estimation strategy with dual distributed controllers based on Kalman filtering 预览
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作者 陈雅雯 Wang Zhuwei +2 位作者 Fang Chao Xu Guangshu Zhang Yanhua 《高技术通讯:英文版》 CAS 2019年第1期105-110,共6页
Considering dual distributed controllers, a design of optimal state estimation strategy is studied for the wireless sensor and actuator network (WSAN). In particular, the optimal linear quadratic (LQ) control strategy... Considering dual distributed controllers, a design of optimal state estimation strategy is studied for the wireless sensor and actuator network (WSAN). In particular, the optimal linear quadratic (LQ) control strategy with estimated plant state is formulated as a non-cooperative game with network-induced delays. Then, using the Kalman filter approach, an optimal estimation of the plant state is obtained based on the information fusion of the distributed controllers. Finally, an optimal state estimation strategy is derived as a linear function of the current estimated plant state and the last control strategy of multiple controllers. The effectiveness of the proposed closed-loop control strategy is verified by the simulation experiments. 展开更多
关键词 OPTIMAL state estimation STRATEGY wireless SENSOR and ACTUATOR network (WSAN) distributed controllers KALMAN filter network-induced DELAYS
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新形势下网络信息传播对当代大学生的影响与指导策略 预览
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作者 吕卓然 《现代职业教育》 2019年第21期124-125,共2页
在网络媒介中信息的时效性和泛化性让网络成为当代大学生不可或缺的媒介,当然与此同时网络信息中的不确定性和真假难辨也成为大学生现实生活中日益严重的问题,对大学生产生不可复制的负面影响,应对此类危害,应以积极的态度面对。
关键词 网络 网络安全 负面影响
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A PSO Based Multi-Domain Virtual Network Embedding Approach 预览
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作者 Yongjing Ni Guoyan Huang +3 位作者 Sheng Wu Chenxi Li Peiying Zhang Haipeng Yao 《中国通信:英文版》 SCIE CSCD 2019年第4期105-119,共15页
This paper proposed a multi-domain virtual network embedding algorithm based on multi-controller SDN architecture.The local controller first selects candidate substrate nodes for each virtual node in the domain.Then t... This paper proposed a multi-domain virtual network embedding algorithm based on multi-controller SDN architecture.The local controller first selects candidate substrate nodes for each virtual node in the domain.Then the global controller abstracts substrate network topology based on the candidate nodes and boundary nodes of each domain,and applies Particle Swarm Optimization Algorithm on it to divide virtual network requests.Each local controller then embeds the virtual nodes of the divided single-domain virtual network requests in the domain,and cooperates with other local controllers to embed the inter-domain virtual links.Simulation experimental results show that the proposed algorithm has good performance in reducing embedding cost with good stability and scalability. 展开更多
关键词 MULTI-DOMAIN VIRTUAL NETWORK EMBEDDING CANDIDATE node particle swarm optimization algorithm VIRTUAL NETWORK REQUEST division
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SDH光传输设备组网设计 预览
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作者 朱常荣 詹跃东 《电视技术》 2019年第5期35-38,共4页
通过对SDH网络的逻辑组成和网络结构的分析,以SDH原理为基础,根据实际工程要求进行SDH光传输组网设备组设计,发现会对SDH的理论以及SDH传输网中的一些问题产生影响,例如拓扑结构选择,时钟同步等。本次设计采用了华为设备Optix为网络站... 通过对SDH网络的逻辑组成和网络结构的分析,以SDH原理为基础,根据实际工程要求进行SDH光传输组网设备组设计,发现会对SDH的理论以及SDH传输网中的一些问题产生影响,例如拓扑结构选择,时钟同步等。本次设计采用了华为设备Optix为网络站点的主要设备,在T2000网管系统中创建一个五元链型网络,并在其中加入一定话务传输业务,通过实验室的运行和测试,实现通信业务的传输,提高了信息传输的可靠性和安全性,通过华为OSN系列SDH光传输设备的组网过程以及网管工具T2000的使用完成了SDH光传输设备组网设计。 展开更多
关键词 SDH 环形网络 光传输设备 组网 网管工具T2000
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