从智能外设到媒体服务器

分别讨论了智能外设和基于软交换的媒体服务器的功能和作用。时两者的异同点进行了比较。指出从智能外设到媒体服务器的演进路线和进一步发展的方向。     

开放式智能化综合业务系统

基于多个实际运行的电信产品——智能外设(IP)及智能业务节点(SN)，并借鉴下一代网络思想，提出了智能化综合业务系统模型。该模型采用分层化的概念模型结构，更符合业务的交换与控制相分离的原则。     

智能外设的功能及应用

文章介绍了智能外设的主要功能，并从智能外设在智能风名与业务交换点，业务控制点连接方式和可提供的业务的角度，介绍了智能外设的应用。     

基于AVR的智能节能插座设计

为了能够在计算机关机或待机情况下有效切断外设电源,达到节能的目的,利用低功耗高性能的AVR mega48作为控制电路的核心,通过检测计算机待机电流的方法,设计了一种可靠性高、性能好的计算机智能节能插座,并对智能节能插座的控制原理进行了详细的分析。将计算机接到所设计的插座上测试,结果表明：智能插座能正确监测计算机的运行状态,并根据监测状态值有效的切断外设电源,同时具有定时开关的功能,实现了外设的零待机功率。     

智能光网络多层生存性技术

分析了现有网络中独立的和层间协调的生存性机制,并且对基于GMPLS的智能光网络的多层生存性进行分析,可以看到智能光网络为多层网络生存性提供了更好的保证.     

基于NiosⅡ多核智能交通车载终端的设计与实现

利用NiosⅡ多核处理器,提出了基于Internet的实时路况查询系统和智能车载终端。通过配置双NiosⅡ软核,改善了MCU处理速度不高、外设资源有限、接口配置繁琐、硬件设计和软件设计编程复杂等问题,将大量控制以及对多种外设访问的工作进行了合理分配。既具有普通导航设备的方便实用性,又能通过无线通讯及Internet与后台服务器连接,获取道路拥堵情况、停车场车位情况等动态实时信息,同时可作为智能交通的车载前端。     

高速以太网智能前端的开发研究

介绍了一种基于嵌入式操作系统的高速以太网控制系统智能前端的基本原理和构建方法。给出了以AT91RM9200为核心，并利用其强大的实时处理能力和众多外设接口来对下位设备进行控制，同时利用LXT97lALC与以太网进行连接的软硬件实现方法。最后给出了通过标准的智能前端来连接现场各种分散的仪表、传感器，以采集并处理数据，并将其接入高速以太网，从而实现一种智能分布式控制系统的实现方案。     

LTE网络智能关断技术节能指标试验与分析

本文从LTE网络基站节能技术出发,分析了通道智能关断技术和符号智能关断技术原理,重点对满足试验条件的智能关断技术进行现网测试分析,通过对比基站采用节能措施前后节能指标、网络性能指标及路测结果的差异,得出基站节能措施的效果和对网络性能的影响的结论.     

网络智能,以“智”赋“动”

通过分析一种较为系统的思维模型,提出了在网络智能中"以智赋动"的观点。通过网元及用户智能识别、网络资源智能调度、网络智能保障、网络业务智能编排4个主要智能能力,分别赋予网络自动化用户通信环境适应能力、自动化网络资源优化能力、自动化故障修复能力、自动化业务适应能力。介绍了当前系统节能、智能无线资源管理(RRM)、边缘智能、智能网规网优、智能运维保障、网络安全6个应用级子方案。最后提出了MAPE-K、智能服务侧挂、模型驱动、三层共享等顶层设计思路,作为后续网络智能化架构设计的参照。     

智能交通系统中无线通信网络的研究

国民经济飞速发展,人们生活水平得到了有效改善,汽车数量日渐增多,但当前我国道路工程无法满足车辆运行需求。将无线通信网络引入到智能交通系统当中,不但能够改善我国交通现状,且能够采集实时信息,为系统运行提供支持。文章从智能交通系统发展现状入手,对智能交通系统当中无线通信网络的应用进行分析,并对各项技术进行对比,进一步了解智能交通系统中的无线通信。     

Performance analysis of the cumulative ARQ in IEEE 802.16 networks

In this paper, we study the performance of the cumulative Automatic Repeat reQuest (ARQ) in IEEE 802.16 networks. An analytical model is developed to investigate some important performance metrics, such as protocol data unit (PDU) delivery delay, service data unit (SDU) delivery delay, and goodput. A general scheduling scheme and the flexible retransmission of lost PDUs are jointly considered in the analytical model, which provides a more valuable and practical guideline for the system design and performance evaluation. Extensive simulations are conducted to demonstrate the impacts of different operational parameters on the performance metrics and verify the accuracy of the analytical model.     

QUANTIFIED COST-BALANCED ROUTING SCHEME FOR OVERLAY MULTICAST

This paper focuses on the quantitative analysis issue of the routing metrics tradeoff problem, and presents a Quantified Cost-Balanced overlay multicast routing scheme （QCost-Balanced） to the metric tradeoff problem between overlay path delay and access bandwidth at Multicast Server Nodes （MSN） for real-time applications over Internet. Besides implementing a dynamic priority to MSNs by weighing the size of its service clients for better efficiency, QCost-Balanced tradeoffs these two metrics by a unified tradeoff metric based on quantitative analysis. Simulation experiments demonstrate that the scheme achieves a better tradeoff gain in both two metrics, and effective performance in metric quantitative control.     

Intelligent network control middleware platform

As multivendor, multitechnology networks are deployed in a carrier's network, a network operator must integrate these networks to have a unified control platform to lower operational costs and deliver customer-specified QoS. An intelligent network control middleware framework for multivendor networks is described in this article. The architectural framework is designed to control and manage next generation network elements as well as legacy telecom networks. The layers within the framework include mediation, control plane, network resource management, and application programmable interfaces. An independent, distributed control plane aims at service interoperability and network scalability. An experimental study on circuit provisioning using the proposed middleware framework is conducted on Sun Lab servers. The middleware performance results are reported. Experimentation architecture and metrics can be extended to a performance benchmark upon which the control plane products can be evaluated.     

IPTV端到端业务质量监测技术研究

IPTV业务的实际运营中,如何保证和监测端到端的业务质量是运营商关注的主要问题.本文首先介绍了IPTV业务质量的定义和业务质量模型,并从运营商角度提出了业务质量监测的需求.之后介绍了目前IPTV质量监测领域的技术、标准和产业发展状况,最后提出了在IPTV业务网络中部署端到端监测系统的技术方案.     

Intellicise communication system: model-driven semantic communications

As one of the critical technologies for the 6th generation mobile communication system (6G) mobile communication systems, artificial intelligence (AI) technology will provide complete automation for connecting the virtual and physical worlds. In order to construct the future ubiquitous intelligent network, people are beginning to rethink how mobile communication systems transmit and exploit intelligent information. This paper proposes a new communication paradigm, called the Intellicise communication system: model-driven semantic communication. Intellicise communication system is built on top of the traditional communication system and innovatively adds a new feature dimension on top of the traditional source coding, which enables the communication system to evolve from the traditional transmission of bit to the transmission of “model”. Like the semantic base (Seb) for semantic communication, the model is considered as the new feature obtained from the joint source-channel coding. The sink node can re-construct the original signal based on the received model and the encoded sequence. In addition, the performance evaluation metrics and the implementation details of the Intellicise communication system are discussed in this paper. Finally, preliminary results of model-driven image transmission in the Intellicise communication system are presented.     

基于存储库数据挖掘的开源软件成功度量方法

开源软件已广泛应用于各软件领域,例如操作系统、容器等,但目前尚没有一种能够综合度量开源软件的方法.我们在用户兴趣度量和开发参与度量的基础上,提出了一种能够克服度量维度单一的局限性的度量方法.基于DM模型、软件生存力模型等相关文献研究和开源软件存储库数据挖掘,通过对项目过程数据进行聚类、主成分分析、回归分析和对开发过程的思考,本文提出一种基于存储库数据和统计学算法的开源软件成功度度量模型.并通过与用户兴趣度量结果和开发参与度量结果对比分析,证明本文的度量模型能够基于可自动无扰采集的存储库数据,更全面的衡量开源软件项目的成功.度量模型可应用于企业选择优质开源项目、学术研究、智能项目推荐等领域.     

A service‐agnostic method for predicting service metrics in real time

We predict performance metrics of cloud services using statistical learning, whereby the behaviour of a system is learned from observations. Specifically, we collect device and network statistics from a cloud testbed and apply regression methods to predict, in real‐time, client‐side service metrics for video streaming and key‐value store services. Results from intensive evaluation on our testbed indicate that our method accurately predicts service metrics in real time (mean absolute error below 16% for video frame rate and read latency, for instance). Further, our method is service agnostic in the sense that it takes as input operating systems and network statistics instead of service‐specific metrics. We show that feature set reduction significantly improves the prediction accuracy in our case, while simultaneously reducing model computation time. We find that the prediction accuracy decreases when, instead of a single service, both services run on the same testbed simultaneously or when the network quality on the path between the server cluster and the client deteriorates. Finally, we discuss the design and implementation of a real‐time analytics engine, which processes streams of device statistics and service metrics from testbed sensors and produces model predictions through online learning.     

Analysis of adaptive bandwidth allocation in wireless networks with multilevel degradable quality of service

A wireless/mobile network supporting multilevel quality of service (QoS) is considered. In such a network, users or applications can tolerate a certain degree of QoS degradation. Bandwidth allocation to users can, therefore, be adjusted dynamically according to the underlying network condition so as to increase bandwidth utilization and service provider's revenue. However, arbitrary QoS degradation may be unsatisfactory or unacceptable to the users, hence resulting in their subsequent defection. Instead of only focusing on bandwidth utilization or blocking/dropping probability, two new user-perceived QoS metrics, degradation ratio and upgrade/degrade frequency, are proposed. A Markov model is then provided to derive these QoS metrics. Using this model, we evaluate the effects of adaptive bandwidth allocation on user-perceived QoS and show the existence of trade offs between system performance and user-perceived QoS. We also show how to exploit adaptive bandwidth allocation to increase system utilization (for the system administrator) with controlled QoS degradation (for the users). By considering various mobility patterns, the simulation results are shown to match our analytical results, demonstrating the applicability of our analytical model to more general cases.     

Call-Level and Packet-Level Quality of Service and User Utility in Rate-Adaptive Cellular CDMA Networks: A Queuing Analysis

A queuing analytical model is presented to evaluate call-level and packet-level quality of service (QoS) metrics in the uplink of a voice/data cellular code division multiple access (CDMA) network. In this model, a threshold-based call admission control (CAC) is used to limit the number of admitted calls in a cell and also to prioritize handoff calls over new calls. The transmission rates for data calls can be adjusted to accommodate more voice and/or data calls while satisfying the minimum signal-to-interference ratio (SIR)/ transmission rate requirement. Also, automatic repeat request (ARQ)-based error control is used for improved reliability of data packets. Call-level performance measures for both voice and data calls and packet-level performance measures specifically for data calls can be obtained from the analytical model. The interdependencies among call-level and packet-level QoS metrics are investigated under different CAC, rate adaptation, and error control parameter settings. To this end, the level of users' satisfaction (or user utility) is formulated as a function of the QoS metrics and an optimization formulation is presented to obtain the local-optimal system parameters