Analytical Modeling of a Multi-queue Nodes Network Router

This paper presents the derivation of an analytical model for a multi-queue nodes network router, which is referred to as the multi-queue nodes （mQN） model. In this model, expressions are derived to calculate two performance metrics, namely, the queue node and system utilization factors. In order to demonstrate the flexibility and effectiveness of the mQN model in analyzing the performance of an mQN network router, two scenarios are performed. These scenarios investigated the variation of queue nodes and system utilization factors against queue nodes dropping probability for various system sizes and packets arrival routing probabilities. The performed scenarios demonstrated that the mQN analytical model is more flexible and effective when compared with experimental tests and computer simulations in assessing the performance of an mQN network router.

Designs of 3D Mesh and Torus Optical Network-on-Chips:Topology,Optical Router and Routing Module

As a nanometer-level interconnection,the Optical Network-on-Chip(ONoC)was proposed since it was typically characterized by low latency,high bandwidth and power efficiency. Compared with a 2-Dimensional(2D)design,the 3D integration has the higher packing density and the shorter wire length. Therefore,the 3D ONoC will have the great potential in the future. In this paper,we first discuss the existing ONoC researches,and then design mesh and torus ONoCs from the perspectives of topology,router,and routing module,with the help of 3D integration. A simulation platform is established by using OPNET to compare the performance of 2D and 3D ONoCs in terms of average delay and packet loss rate. The performance comparison between 3D mesh and 3D torus ONoCs is also conducted. The simulation results demonstrate that 3D integration has the advantage of reducing average delay and packet loss rate,and 3D torus ONoC has the better performance compared with 3D mesh solution. Finally,we summarize some future challenges with possible solutions,including microcosmic routing inside optical routers and highly-efficient traffic grooming.

Neural Network Based Scheduling for Variable-Length Packets in Gigabit Router with Crossbar Switch Fabric and Input Queuing

A high-speed and effective packet scheduling method is crucial to the performance of Gigabit routers. The paper studies the variable-length packet scheduling problem in Gigabit router with crossbar switch fabric and input queuing, and a scheduling method based on neural network is proposed. For the proposed method, a scheduling system structure fit for the variable-length packet case is presented first, then some rules for scheduling are given. At last, an optimal scheduling method using Hopfield neural network is proposed based on the rules. Furthermore, the paper discusses that the proposed method can be realized by hardware circuit. The simulation result shows the effectiveness of the proposed method.

Route Optimization for Network Mobility Based Aeronautical Network Using Correspondent Router

The future aeronautical network will be based on IPv6 and the services over the aeronautical network will be classified into 3 domains: Air Traffic Services (ATS), Airline Operational Services (AOS) and Passenger Information and Entertainment Services (PIES), among which the ATS and AOS domains are important for aircraft safety and airline business operation. Some schemes have been proposed to provide IP mobility support for aeronautical network, and Network Mobility (NEMO) scheme is the most promising one. However, using NEMO technology will lead to sub-optimal routing, so route optimization technology is highly desired for NEMO. A route optimization scheme is proposed for the ATS and AOS domains, which introduces the Correspondent Routers to realize the optimal routing and employs an improved procedure to reduce the handoff delay. The route optimization for the PIES domain is also discussed to provide better performance for some special scenarios.

Design of Efficient Router with Low Power and Low Latency for Network on Chip

The NoC consists of processing element (PE), network interface (NI) and router. This paper proposes a hybrid scheme for Netwok of Chip (NoC), which aims at obtaining low latency and low power consumption by concerning wired and wireless links between routers. The main objective of this paper is to reduce the latency and power consumption of the network on chip architecture using wireless link between routers. In this paper, the power consumption is reduced by designing a low power router and latency is reduced by implementing a on-chip wireless communication as express links for transferring data from one subnet routers to another subnet routers. The average packet latency and normalized power consumption of proposed hybrid NoC router are analyzed for synthetic traffic loads as shuffle traffic, bitcomp traffic, transpose traffic and bitrev traffic. The proposed hybrid NoC router reduces the normalized power over the wired NoC by 12.18% in consumer traffic, 12.80% in AutoIndust traffic and 12.5% in MPEG2 traffic. The performance is also analyzed with real time traffic environments using Network simulator 2 tool.

MRNDA:一种基于资源受限片上网络的深度神经网络加速器组播机制研究

片上网络(Network-on-Chip,NoC)在多处理器系统中得到了广泛的应用.近年来,有研究提出了基于NoC的深度神经网络(Deep Neural Network,DNN)加速器.基于NoC的DNN加速器设计利用NoC连接神经元计算设备,能够极大地减少加速器对片外存储的访问从而减少加速器的分类延迟和功耗.但是,若采用传统的单播NoC,大量的一对多数据包会极大的提高加速器的通信延迟.并且,目前的深度神经网络规模往往非常庞大,而NoC的核心数量是有限的.因此,文中提出了一种针对资源受限的NoC的组播方案.该方案利用有限数量的处理单元(Processor Element,PE)来计算大型的DNN,并且利用特殊的树形组播加速网络来减少加速器的通信延迟.仿真结果表明,和基准情况相比,本文提出的组播机制使加速器的分类延迟最高降低了86.7%,通信延迟最高降低了88.8%,而它的路由器面积和功耗仅占基准路由器的9.5%和10.3%.

基于输入均压与虚拟直流电机相结合的直流电能路由器控制策略

针对中压直流配电网接入下的直流电能路由器在新能源出力等工况下,使用传统控制策略对直流母线的控制效果一般、电压易越限等问题,基于模块化的输入串联输出并联(input-series output-parallel,ISOP)型拓扑结构,提出一种基于输入均压与虚拟直流电机相结合的直流电能路由器控制策略。首先,研究输入均压控制过程中模块间的功率均衡控制特性并与输出均流控制进行比较;接着,将虚拟直流电机控制应用到控制算法中,使变流器模拟出直流电机的惯性特性;然后,对虚拟直流电机建立小信号数学模型,分析其工作机理以及参数对系统的影响;最后,在MATLAB/Simulink中搭建仿真模型进行验证。结果表明:所提控制策略能够在实现直流电能路由器各模块间功率均衡的同时,具有类似直流电机的惯量特性与阻尼特性,可显著提高直流配电网直流母线电压稳定性。

基于本地收益最大化的命名网内计算部署机制

命名网内计算(named in-network computing,NINC)是一种基于命名数据网络架构、在网络设备处提供泛在计算服务的新兴计算方案。如何有效在单个路由器上部署多个NINC服务,仍有待探索。针对这一问题,提出了本地部署收益与本地服务收益的概念,前者表征NINC服务本地部署后降低转发流量所获得的CPU资源节约量,后者表征所部署的NINC服务每消耗单位CPU资源所获得的流量处理能力。在此基础上,设计了一种基于本地收益最大化的NINC部署机制。该机制中,路由器周期性预评估拟部署NINC服务的本地部署收益与本地服务收益,进而将部署问题转化为一个背包问题,求解出优化的NINC服务部署方案。仿真结果表明,相较于基于流行度的机制,该机制能够有效提高网内计算流量处理能力,在网内计算服务所需数据量均匀分布的一般性场景下,单个路由器可获得约20%~27%的处理能力提升。

Routeros在校园网中的应用

该文以鄂州大学校园网为例,详细论述了Routeros网络操作系统在校园网中的应用。论文具有较高的实用性,可供网络管理人员参考。

基于双RouterOS的路由和防火墙技术实现

校园网在学校信息化建设中有重要作用。探讨校园网建设过程中所面临的问题,提出基于双RousterOS的路由及防火墙解决方案,并给出网络规划和配置。

校园网网络设计及综合布线方案

本文主要探究了校园网网络的设计要点和综合布线方案。基于层次化理念设计校园网网络,将其分成网络核心层、网络汇聚层、网络接入层三部分,同时基于网络安全方面考虑设计了网络防火墙,兼顾了实用性和安全性。为节约安装空间、降低维护成本,使用了结构化综合布线系统(PDS),将楼宇内各类线路集成在一个布线系统中,实现了统一设计、集中安装。通过层次化网络设计和集成化综合布线,提升了校园网的易用性和稳定性,为学校管理和教学的信息化建设提供了支持。

光伏高渗透率配电网中三电平电能路由器无功支撑技术研究

光伏渗透率越高,配电网电压就越难以保持稳定,且会影响客户侧电能质量。文章针对光伏高渗透率配电网中的三电平电能路由器进行研究,该电能路由器由前端整流器、直流母线、后端逆变器3部分组成,DC-DC直流变换器可直接连到直流母线上。详细介绍了网侧变换器的拓扑结构与控制策略,针对设备的无功支撑能力进行了一系列仿真验证,证实该设备能够向配电网提供无功补偿以稳定电压波动。

路由器在网络系统中的配置测试和维护

路由器是网络系统中的重要组成部分,对于网络的稳定性和性能具有至关重要的作用,其主要作用是连接不同的网络,实现数据的传输和路由选择。基于此,本文研究了路由器在网络系统中的配置测试和维护。通过测试网络连通性,验证网络配置的正确性,确保数据在网络中顺畅传输;同时,从加强口令管理、限制系统物理访问、配置访问控制列表多个方面维护网络系统安全。实验结果表明:路由器的合理配置能够确保网络没有出现丢包现象,保障了网络系统的可靠性。

基于节点路径重构和ELM的无线通信网络DDoS攻击源追踪

在无线通信网络中,DDoS攻击通常涉及大量的攻击者和恶意节点,并以多种形式发起攻击。攻击流量经过中间节点和反射/放大攻击等技术手段后变得更加复杂,追踪其溯源路径和确定唯一的攻击源变得复杂。为此,文中研究基于节点路径重构和ELM的无线通信网络DDoS攻击源追踪方法。通过正则化方式优化ELM的参数,检测获取DDoS攻击数据包;采用路由器标记算法标记DDoS攻击数据包,在无线通信网络域间重构攻击节点路径,获取DDoS攻击源位置,完成无线通信网络DDoS攻击源追踪。实验结果证明:文中方法可精准检测获取DDoS攻击数据包,并完成攻击数据包的标记,且可有效重构攻击节点路径,追踪到DDoS攻击源。

Router OS的防火墙功能在高校计算机房管理中的应用

MikroTik Router OS是基于Linux开发的能在PC机上运行的路由器和专线路由器操作系统,主要应用于防火墙、ISP核心路由器、用户认证管理系统、流量控制等.论述通过使用MikRoTik Router OS的防火墙功能对学校计算机房的网络进行控制与管理,讨论防火墙过滤规则的制定.

含能量路由器的交直流混合配电网潮流计算

能量路由器(energy router,ER)作为新兴电力电子设备,可以实现电能在电力系统中的灵活分配。分析ER对系统的影响,研究以ER为配电枢纽的交直流混合配电网潮流计算方法,对实现配电网的优化运行具有重要意义。文中首先基于改进交替迭代法建立ER的稳态潮流模型,并对ER直流端口采用下垂控制策略,结合传统解耦法,提出一种适用于含ER的配电网交直流解耦迭代潮流计算方法。以含有多个ER的IEEE 14节点和IEEE 69节点配电系统为算例进行仿真计算,验证所提方法的正确性与收敛性。为分析ER对系统运行的影响,对不同场景下IEEE 69节点测试系统进行仿真计算,证明ER在系统中可以支撑节点电压,减小系统运行损耗。

基于孪生神经网络的Tor网络流关联方法

为进一步提升Tor(the onion router)网络流关联技术的准确率,减少时空开销以及增强容错性,提出一种基于孪生神经网络的Tor网络流关联方法。提取Tor网络流量的包间隔与包大小作为原始流量特征,利用孪生神经网络对特征进行关联性分析。通过孪生神经网络提取入口流与出口流的特征向量并进行相似度计算,根据阈值选择函数选择关联阈值判断流量是否关联。实验结果表明,所提方法关联准确率达到96.21%,误报率仅为0.1%,较现有方法准确率提升2.05%,误报率显著降低,进一步降低了关联成本。

Preventing“Bad”Content Dispersal in Named Data Networking

Named Data Networking(NDN)improves the data delivery efficiency by caching contents in routers. To prevent corrupted and faked contents be spread in the network,NDN routers should verify the digital signature of each published content. Since the verification scheme in NDN applies the asymmetric encryption algorithm to sign contents,the content verification overhead is too high to satisfy wire-speed packet forwarding. In this paper, we propose two schemes to improve the verification performance of NDN routers to prevent content poisoning. The first content verification scheme, called "user-assisted",leads to the best performance, but can be bypassed if the clients and the content producer collude. A second scheme, named ``RouterCooperation ‘', prevents the aforementioned collusion attack by making edge routers verify the contents independently without the assistance of users and the core routers no longer verify the contents. The Router-Cooperation verification scheme reduces the computing complexity of cryptographic operation by replacing the asymmetric encryption algorithm with symmetric encryption algorithm.The simulation results demonstrate that this Router-Cooperation scheme can speed up18.85 times of the original content verification scheme with merely extra 80 Bytes transmission overhead.

ApplianceBricks: A Scalable Network Appliance Architecture for Network Functions Virtualization

Network Functions Virtualization(NFV) is an attempt to help operators more effectively manage their networks by implementing traditional network functions embedded in specialized hardware platforms in term of virtualized software instances. But, existing novel network appliances designed for NFV infrastructure are always architected on a general-purpose x86 server, which makes the performance of network functions limited by the hosted single server. To address this challenge, we propose ApplianceB ricks, a novel NFV-enable network appliance architecture that is used to explore the way of consolidating multiple physical network functions into a clustered network appliance, which is able to improve the processing capability of NFV-enabled network appliances.

Diffserv AQM algorithm for edge and core routers

The existing active queue management （AQM） algorithm acts on subscribers and edge routers only, it does not support differentiate-serve （Diffserv） quality of service （QoS）, while the existing diffserv QoS has not considered the link capacities between edge routers and connected core routers. When a core router in a two layers’ network experiences congestion, the connected edge routers have no ability to adjust their access data rates. Thus, it is difficult to achieve the congestion control for the large scale network with many edge routers and core routers. To solve these problems, two difffserve AQM algorithms are proposed for the congestion control of multilayer network. One diffserv AQM algorithm implements fair link capacities of edge routers, and the other one implements unequal link capacities of edge routers, but it requires the core routers to have multi-queues buffers and Diffserv AQM to support. The proposed algorithms achieve the network congestion control by operating AQM parameters on the conditions of proposed three theorems for core and edge routers. The dynamic simulation results demonstrate the proposed control algorithms for core and edge routers to be valid.