光纤网络中的光开关技术与应用

随着光纤通信技术的发展和密集波分复用系统的应用,光联网已经成为网络发展的趋势。光联网络技术的实现主要依赖于光开火、光滤波器、光放大器、密集波分复用（DWDM）技术等器什和技术的进展。     

光纤网络常见故障分析

光纤网络的故障点主要来自于光缆、光发射机和光接收机3个环节,分析如下。1光缆故障分析（1）光信号缺失：一般因人为盗窃信号、破坏光缆,致使光信号中断。一次,接到一光节点无输出电信号的故障,检测该光接收机无输入光功率,到前端机房测试,光分路器输出光功率正常。     

光纤网络集中监测系统的研究

从系统工程的角度出发,在分析现有在线光缆监测技术的基础上,对如何在光纤网络上构建一个完善的光纤网络监测管理系统提出了系统化的解决方案。     

采用等光分法设计、建设有线电视光纤网络

本文根据有线电视光缆网络在设计、建设和维护实践工作中存在的不足,提出了一种简单、适用的设计和建设方法——等光分法,使有线电视光缆网络的设计、建设和维护工作变得简单、方便,易学易懂,可大大减轻网络调试和维护工作量。     

梅县城区有线电视光纤网络设计方案

近年来,有线数字电视发展迅速,全国大部分县级广电城区都已经完成了数字电视整体转换,但是由于县级城区有线电视光纤网络还比较落后,没有经过统一规划,统一设计,规范施工,网络性能无法达标,数字电视整转后,故障率高,用户投诉多,效果不明显.本文主要结合我县城区有线电视光纤网络的设计,分析县级城区有线电视光纤网络设计要点,为县级城区有线电视光纤网络设计及改造升级提供借鉴.     

梅县城区有线电视光纤网络设计方案

近年来,有线数字电视发展迅速,全国大部分县级广电城区都已经完成了数字电视整体转换,但是由于县级城区有线电视光纤网络还比较落后,没有经过统一规划,统一设计,规范施工,网络性能无法达标,数字电视整转后,故障率高,用户投诉多,效果不明显.本文主要结合我县城区有线电视光纤网络的设计,分析县级城区有线电视光纤网络设计要点,为县级城区有线电视光纤网络设计及改造升级提供借鉴.     

基于边缘云计算的光纤无线网络优化设计

为了提升网络边缘数据处理能力,满足终端大带宽和低时延的要求,构建了基于边缘基础设施的云计算平台,设计了具有动态带宽调整的光纤网络模型。提出了一种基于边缘云计算的时序优化算法,并将其应用于光纤无线网络。通过OPNET软件仿真分析了时序优化算法的传输时延均值,结果显示,优化后最大时延为43.1 ms,仅为传统方法的34.2%。实验对局域网内多个终端之间的数据通信进行分析,讨论了三种算法的传输能效、光纤信道利用率及传输能耗。实验结果显示,采用时序优化算法的测试结果具有明显改善,其传输能效提升了近1倍,边缘云数据传输时延均值信道利用率提升了约6.2%,网络传输能耗均值最优。该光纤无线网络模型及其优化算法在传输时延、信道利用率以及网络能耗方面具有明显提升。其在提升光纤通信链路选择及边缘端数据交互中具有一定的优势。     

面向云计算的校园网资源建设初探

云计算技术是当前数字校园建设的主流方向。云计算作为新一代的校园网资源共享与应用模式,采用虚拟化和资源池的方式提供了校园网资源服务,属于校园网分布式计算的扩展与延伸,其目的在于实现对校园网资源的动态配置,提高校园网资源的共享度和利用率。校园网的普及和移动互联网的发展为校园网资源的建设提供了新的机遇与挑战,校园资源与校园网的结合丰富了校园网资源的建设和使用。     

云计算中任务分配研究

提高云计算环境中计算节点的效率具有重要意义。文中分析了云计算并行编程模式MapReduce及其存在的不足,提出了结合DAG图(Directed Acycline Graph,DAG)进行任务分配的方法,对相同出口的路径上的子任务进行调整,控制Map阶段的中间处理结果提交时间,使Reduce阶段任务的推进不受影响。文中方法有利于提高节点的利用率,保持负载均衡,进行了仿真实验,结果也验证了算法的正确性。     

On the network utility optimal allocation of radio resources in WCDMA systems

We discuss an optimization framework for radio resource allocation in a WCDMA system supporting elastic traffic. In particular, we assume the users' preferences as driven by utility functions depending on the assigned transmission rate, and the network capacity constraints as related to interference and power limitations. In this framework, we perform the constrained instantaneous network utility maximization through a logarithmic barrier method. The obtained results are compared and discussed.     

Method for optimal allocation of network resources based on discrete probability model

The method for optimal allocation of network resources based on discrete probability model is proposed. In order to take into account multiple coverage of the monitored points, the method constructs the discrete probability perception model of the network nodes. The model is introduced into the solution of the node coverage area, and the optimized parameters of the sensor optimization arrangement are used to optimize the layout of the multimedia sensor nodes. After setting the node scheduling standard, the interaction force between the sensor nodes and the points on the curve path is analyzed by the virtual force analysis method based on the discrete probability model At the same time On this basis, the path coverage algorithm based on the moving target is used to optimize the coverage of the wireless sensor network node in order to achieve optimal configuration of network resources. The experimental results show that the proposed method has good convergence and can complete the node coverage process in a short time. The introduction of the node selection criteria and the adoption of the dormant scheduling mechanism greatly improve the energy saving effect and enhance the network resource optimization effect.

     

计算机网络云计算分析

社会在发展前进,科技在不断地进步,人们对科学技术的认识不断翻新,在生活和工作中对一些技术的认识和使用也有了新的领悟。计算机网络云计算在生活中的使用频率越来越高,给企业、政府、国防事业、医药卫生以及教育行业等都带来了巨大的便利。随着这项技术的不断发展完善,人们越来越离不开计算机网络云计算。文章对云计算在计算机网络中的应用进行了分析。     

云计算环境下海量音乐资源的高精度定位挖掘方法研究

针对在云计算环境下海量音乐资源挖掘的定位检索准确性不高的问题,对云计算环境下海量音乐资源的定位挖掘方法进行改进设计,提出基于自适应级联检索控制的海量音乐资源的高精度定位挖掘方法。首先对海量音乐资源库的数据信息按关键词和音乐类型进行语义特征分割和时间序列状态空间重构,然后进行云计算环境下海量音乐资源的自相关特征提取,以提取的自相关特征为信息素导引进行高精度定位挖掘,采用自适应级联检索控制模型进行挖掘精度控制。最后进行仿真分析,结果表明,该方法能提高音乐资源的定位挖掘精度,提高资源利用率和检索的数据查准率。     

Study on virtual resource allocation optimization in cloud computing environment

Most existing researches of resource allocation in data center did not take into full consideration how to decrease energy consumption.The energy efficiency virtual resource allocation for cloud computing as a multi-objective optimization problem was formulated,which was then solved by intelligent optimization algorithm.The simulation results reveal that the strategy can successfully generate schedule scheme of different numbers of servers-VM with diverse characteristics and decrease the total operating energy of data center effectively.     

A control‐theoretic approach towards joint admission control and resource allocation of cloud computing services

Meeting the performance specifications of consolidated web services in a data center is challenging, as the control of the underlying cloud computing infrastructure must meet the service level agreement requirements and satisfy the system's constraints. In this article, we address the admission control and resource allocation problem jointly, by establishing a unified modeling and control framework. Convergence to a desired reference point and stability and feasibility of the control strategy are guaranteed while achieving high performance of the co‐hosted web applications. The efficacy of the proposed approach is illustrated in a real test bed. Copyright © 2015 John Wiley & Sons, Ltd.     

Scheduling and resources allocation in network traffic using multiobjective,multiuser joint traffic engineering

Wireless Networks - Reciprocal optimality is a desirable characteristic from the end user perspective, for both Best Effort and Quality of Service (QoS) datagrams delivery within a network. A...