基于队列的动态电源管理策略

动态电源管理技术是一项系统级电源优化策略,它通过有选择性的关闭(或者降低性能)空闲的可控设备来降低功耗.在回顾以往系统级动态电源管理策略的基础上,提出了一种基于队列的新型系统级动态电源管理策略,利用队列不但可以提高对于可控模块何时被唤醒时间的预测命中率,并且能够根据不断变化的任务负载情况进行自身的快速调节,以适应不同任务的要求,通过搭建的SkyEye环境进行仿真,结果验证了在性能和节能方面,该方法优于传统方法.     

马尔科夫排队过程

马尔科夫排队过程是马尔科夫决策规划的一个重要应用。本文研究将一般的排队系统转化为马尔科夫排队过程,因而可以利用马尔科夫决策规划的求值运算来求解。本文着重介绍了顾客逐一的接受服务和顾客成批的接受服务两种最主要类型并计算给出相应的结果。     

以太网交换控制芯片的缓存结构

为实现交换控制,需要为以太网交换控制芯片选择合理的数据缓存结构。采用数据包缓存空间的分页管理模式、空闲缓存空间的调度方法和出口端口队列管理技术,通过数据包缓存空间描述符设计方法和对应的目的端口结构分析,提高交换控制芯片缓存空间的使用效率并增强芯片性能。     

基于DSP和VDK内核的USB通信系统

针对ADSP-TS201 DSP的USB通信需求,设计一个完整的USB通信系统,其中,硬件系统采用CY7C68013A USB控制器和FPGA扩展USB主机接口,软件系统引入VDK实时内核、消息函数注册机制和数据缓冲队列。该通信系统可以提高USB通信资源的利用率,提供友好的通信接口,便于应用程序调用。     

移动宽带城域网节能类型Ⅱ的性能分析

为了有效分析移动网络中移动站点的节能效率,研究了应用于移动宽带城域网的IEEE802.16e节能类型Ⅱ的工作原理,建立了一个具有两种休假机制,且在一种休假机制内可以传输少量数据帧的多重休假排队模型;构建了由能量节省率、系统切换率和数据帧平均响应时间等组成的指标体系,并给出了各个性能指标的解析表达式.通过数值示例,刻画了系统性能与系统参数的依赖关系,表明了该模型的可行性与有效性.     

延迟容忍传感器网络基于相对距离的数据传输

延迟容忍移动无线传感器网络(delay tolerant mobile sensor network,简称DTMSN)用于广泛数据收集.与传统的传感器网络不同,DTMSN 具有节点移动性、间歇连通性并且能够容忍适当的延迟,因此传统传感器网络的数据收集算法不能适用.提出了一种基于相对距离感知的动态数据传输策略RDAD(relative distance-aware data delivery scheme).RDAD采用传感器节点到汇聚点(sink node)的相对距离来计算节点传输概率的大小,并以此作为消     

基于多代理和多优先队列的短信实时并发算法

针对Modem发送短信在实时性、并发性及完整性等性能上存在的缺陷,提出基于多代理、多优先级队列的短信实时并发算法。该算法采用多代理、多优先级队列、线程池等技术手段保证短信控制的实时性、并发性及数据完整性,在算法中使用优先级,使某些信息能够优先发送。通过改造排队论模型和实验对算法进行验证,并将该算法应用于SMAS系统,系统运行结果表明,该算法大幅提高了其发送和接收短信的速度与效率,实现了短信实时性和并发性的目标,优化了SMAS系统的整体性能。     

地图图幅整饰自动化技术

基于地理信息系统(GIS)平台二次开发的地图图幅整饰不利于移植及功能扩展,针对该问题,分析地图图幅整饰自动化中图廓、方里网、经纬网、注记等内容的实现过程,从底层开发相应的地图图幅整饰库.对现有GIS平台地图图幅整饰功能进行改进,使地图图幅整饰功能不依赖特定GIS平台.该技术可以在土地规划应用中提高制图效率,并能与其他G...     

A discrete-time on–off source queueing system with negative customers

This paper studies a discrete-time single-server infinite-capacity queueing system with correlated arrivals, geometrically distributed service times and negative customers. Positive customers are generated by a Bernoulli bursty source, with geometrically distributed lengths of the on-periods and off-periods. Negative customers arrive to the system according to a geometrical arrival process which is independent of the positive arrival process. A negative customer removes a positive customer in service if any, but has no effect on the system if it finds the system empty. We analyze the Markov chain underlying the queueing system and evaluate the performance of the system based on generating functions technique. Closed-form expressions of some performance measures of the system are obtained, such as stationary probability generating functions of queue length, unfinished work, sojourn time distribution and so on. Finally, the effect of several parameters on the system is shown numerically.     

An inexact fuzzy-queue programming model for environmental systems planning

In this study, an inexact fuzzy-queue programming (IFQP) model is developed for municipal solid waste (MSW) management under uncertainty, where fuzzy queue (FQ) model is introduced into the interval-fuzzy linear programming (IFLP) framework. The proposed IFQP model can not only handle uncertainties that are presented in terms of fuzzy sets and discrete intervals, but also reflect the influence of FQ in decision-making problems. Moreover, it can help quantify the satisfaction degrees of the system cost and constraints under uncertainty. It improves upon the existing optimization model with advantages in data availability, uncertainty reflection and result analysis. In its solution process, the model is transformed into two deterministic submodels based on an interactive algorithm. Interval solutions which are stable in the decision space can be obtained by solving the two submodels sequentially. The developed model is applied to a case of long-term planning of MSW management systems to demonstrate its applicability. It can effectively reflect dynamic, interactive, and uncertain characteristics of municipal waste management systems. The decision variable solutions provide optimal schemes for waste flow allocation corresponding to lower and upper bounds of system cost. The results indicate that reasonable solutions have been generated. They are helpful for supporting: (i) decision making or justification of waste-allocation patterns of MSW management system, and (ii) in-depth analysis of tradeoffs among system cost, satisfaction degree, and environmental constraint under uncertainty.