Solving Nonconvex Planar Location Problems by Finite Dominating Sets

It is well-known that some of the classical location problems with polyhedral gauges can be solved in polynomial time by finding a finite dominating set, i.e. a finite set of candidates guaranteed to contain at least one optimal location.In this paper it is first established that this result holds for a much larger class of problems than currently considered in the literature. The model for which this result can be proven includes, for instance, location problems with attraction and repulsion, and location-allocation problems.Next, it is shown that the approximation of general gauges by polyhedral ones in the objective function of our general model can be analyzed with regard to the subsequent error in the optimal objective value. For the approximation problem two different approaches are described, the sandwich procedure and the greedy algorithm. Both of these approaches lead - for fixed - to polynomial approximation algorithms with accuracy for solving the general model considered in this paper.     

Applications of SMP Bounds to Multi-class Traffic in High-speed Networks

In this paper, we consider the stochastic fluid-flow model of a single node in a high-speed telecommunication network handling multi-class traffic. The node has multiple buffers, one for each class of traffic. The contents of these buffers are multiplexed onto a single output channel using one of the service scheduling policies: the Timed Round Robin Policy or the Static Priority Service Policy. The Quality of Service requirements for each class are based on cell loss probabilities. Using effective bandwidth methodologies and the recently developed bounds for semi-Markov modulated traffic, we solve call admission control problems for the two service scheduling policies at this node. We compare the performance of the effective bandwidth methodologies and the SMP bounds technique. We also numerically compare the performance of the two service scheduling policies.     

一种新的WDM光网中的共享链路保护策略

研究了WDM光网中的链路保护问题.提出了一种新的共享链路保护策略--基于SRLG的共享链路保护策略(SRLG-SLP).SRLG(共享风险链路组)定义了对一条工作光通道分配保护资源时的资源可用性的约束.它规定任意两条有着同样故障风险或者说处于同一个SRLG的工作光通道不能利用同样的保护资源.另外,还提出了一种更加符合实际的单链路故障模型,其中链路故障间隔时间和链路故障保持时间被考虑作为两个独立的变量.基于该链路故障模型,通过大量的仿真试验,比较了专用链路保护(DLP)、共享链路保护(SLP)和提出的SRLG-SLP保护策略的资源利用率、保护效率以及业务中断率.结果显示,我们提出的SRLG-SLP在保护效率和业务中断率方面的保护性能远好于DLP和SLP,但会牺牲一些资源利用率.     

基于多系统数据接口的整合技术研究与实现

针对"一站妥"工作中存在工作周期长、无法提前进行故障定位和分析等问题,东莞供电局设计了一种工作效率高、快速定位故障的城市用户故障排查专家系统。文章提出了一种基于SOA的Web Service技术,该技术实现了多系统数据接口整合,让城市用户故障排查专家系统可以访问外部系统。专家系统的实现,解决了"一站妥"工作中存在的问题,提高工作效率和客户满意度,更节省更环保。     

基于SDN的端到端无缝MPLS组网技术研究

针对MPLS技术在运营商应用中存在问题的分析,结合SDN思想和概念,将网络抽象为“网络转发”、“业务控制”和“运营支撑”三个平面,提出端到端无缝MPLS组网的解决方案。     

移动流媒体业务质量评估及监测方案探讨

文章针对在移动流媒体业务运维中存在的各种难点,深入分析网络现状和业务特性,提出了基于用户体验的质量评价体系,探讨了全程全网的数据采集和分析方案,设计了自动化的业务监测评估工具,为实现对端到端3G数据业务的智能管控和优化做出了有益尝试。     

A robust decentralized reputation management system for service selection

Reputation mechanism is a novel approach to automate QoS-aware service selection in service oriented computing. The reputation system collects ratings on QoS that consumers feedback and aggregates them to derive a reputation value, which can in turn assist other consumers in service selection in future. However, current approaches fail to combat the malicious ratings and hence the calculated reputation values can be biased severely or even manipulated. Moreover, the centralized management of rating data restricts its application to large open environment. In this paper, we present a robust decentralized reputation system which can resist various unfair ratings and manipulation behaviours. It can evolve and become more mature against malicious ratings with the system running continuously. At last, we experimentally verify the robustness of the proposed approach through a simulation study.     

基于G/S模式的空间信息云服务架构研究

针对多系统间的数据交换、共享问题,尤其在大数据时代,海量的数据增长给数据的管理带来的挑战,提出了一种基于G/S(General-Browser/ Service-Cloud,G/S)模式的空间信息云服务架构——面向数据的架构(Data Oriented Architecture,DOA)。以数据为核心,以数据标识为主线,通过数据注册中心和数据交换规范XXML(Specific Industry Markup Language),对海量异构数据进行存储、计算和管理,实现多系统间的数据共享、访问和协同。通过在地质灾害监测预警方面的应用,证明了该架构作为信息技术的系统构建方法在大数据时代独特的优势。     

声波在锥棒中非经典非线性传播及实验验证

弹性体材料在早期退化阶段会出现一些长度不同,且分布不均匀的介观尺度微裂纹,声波在这些裂纹聚集区(或裂纹群)传播会激发较强的非经典非线性。文中以缓变截面的锥棒为研究对象,在Preisach-Mayergoyz (PM)空间模型下研究了声波通过微裂纹聚集区激发的非经典非线性谐波传播特性,实验验证了三次谐波位移幅度与缺陷位置、宽度的反演关系。理论计算和实验结果表明:微裂纹群激发了较强的奇次谐波,引起非经典非线性传播;其谐波幅度与微裂纹聚集区域位置、宽度及非经典非线性参数紧密相关,利用三次或五次谐波位移幅度能够准确定位缺陷的区域。