A distributed expansible authentication model based on Kerberos

There is a potential server bottleneck problem when the Kerberos model is applied in large-scale networks because the model uses centralized management. To enlarge its application scope, researchers must consider how to build a trust relation among those Kerberos servers located on different isolated domains, but have not provided a way to prevent the potential bottleneck that can occur with Kerberos servers. With the development of across-domain authentication techniques, the local server bottleneck problem has not been alleviated; in fact, it has become more serious.Adopting the rigorous binary tree code algorithm, we present an authentication model based on Kerberos. Compared with similar models, our model has several advantages. First, it overcomes the potential server bottleneck problem and can balance the load automatically. Second, it can process across-domain authentication and enlarge the authentication boundary. Finally, its authentication path is short, with no more than two Kerberos servers being involved when authenticating a user.     

电动滚筒在带式输送机驱动装置应用中的问题

电动滚筒具有许多独特的优势和特点,但由于存在着制约其发展的技术瓶颈,致使大功率电动滚筒一直未能设计、制造出来,影响了在输送机行业的应用。但随着新技术的发展,现在完全可以应用变频和稀土永磁电机技术、电气启制动技术、新的油冷式技术来设计制造出大功率的电动滚筒,从而推动电动滚筒的广泛应用。     

一种改进的基于包对模型的有效带宽测量方法

本文通过分析数据包对的分离时间与背景流量之间的关系,提出了一种改进的基于包对模型测量端到端路径有效带宽的方法(ABwPP),可以直接测量路径的有效带宽而不需已知瓶颈带宽。NS-2上的模拟实验结果表明,该方法是准确有效的。     

基于凝聚信息瓶颈的音频事件聚类方法

为了进一步提高音频事件聚类算法性能,本文基于凝聚信息瓶颈理论提出一种音频事件聚类方法.首先,论述信息瓶颈原理及其推导过程;然后,详细论述一种基于凝聚信息瓶颈的音频事件聚类方法,包括源变量、相关变量和目标变量的定义,聚类的具体步骤,算法主要计算量分析等.采用取自两个数据库的音频事件样本进行测试,实验结果表明：与目前文献报道的方法相比,本文方法在多种实验条件下都获得了更高的K值（平均类纯度和平均音频纯度的几何平均值）,而且运算速度更快.     

通信瓶颈下的实时并行任务分配研究

提出了实时并行任务粒度划分的具体设计方法，采用了系统内通信迟延最小的约束条件进行多处理器上的任务分配，解决了高速实时信号处理中的数据通信瓶颈问题。在自行设计的超立方体结构的通用信号处理机上，实现了空时二维自适应信号处理和SAR实时成像，显著减小了数据通信迟延，提高了并行效率和性价比。     

Load prediction based elastic resource scheduling strategy in Flink

In order to solve the problem that the load of big data stream computing platform fluctuates drastically while the cluster was suffering from the performance bottleneck due to the shortage of computing resources,the load prediction based elastic resource scheduling strategy in Flink (LPERS-Flink) was proposed.Firstly,the load prediction model was set up as the foundation to propose the load prediction algorithm and predict the variation tendency of the processing load.Secondly,the resource judgment model was set up to identify the performance bottleneck and resource redundancy of the cluster while the resource scheduling algorithm was proposed to draw up the resource rescheduling plan.Finally,the online load migration algorithm was proposed to execute the resource rescheduling plan and migrate processing load among nodes efficiently.The experimental results show that the strategy provides better performance promotion in the application with drastically fluctuating processing load.The scale and resource configuration of the cluster responded to the variation of processing load in time and the communication overhead of the load migration was reduced effectively.     

Suppression of phonon‐mediated hot carrier relaxation in type‐II InAs/AlAsxSb1 − x quantum wells: a practical route to hot carrier solar cells

InAs/AlAs_xSb_{1 − x} quantum wells are investigated for their potential as hot carrier solar cells. Continuous wave power and temperature‐dependent photoluminescence indicate a transition in the dominant hot carrier relaxation process from conventional phonon‐mediated carrier relaxation below 90 K to a regime where inhibited radiative recombination dominates the hot carrier relaxation at elevated temperatures. At temperatures below 90 K, photoluminescence measurements are consistent with type‐I quantum wells that exhibit hole localization associated with alloy/interface fluctuations. At elevated temperatures, hole delocalization reveals the true type‐II band alignment, where it is observed that inhibited radiative recombination due to the spatial separation of the charge carriers dominates hot carrier relaxation. This decoupling of phonon‐mediated relaxation results in robust hot carriers at higher temperatures, even at lower excitation powers. These results indicate type‐II quantum wells offer potential as practical hot carrier systems. Copyright © 2016 John Wiley & Sons, Ltd.     

4G网络的资源瓶颈分析

分析了LTE网络的技术能力,包括小区吞吐量,PDCCH、PHICH和PUCCH信道容量,接入容量,寻呼容量等,并基于技术能力分析了各种典型业务的PRB、PDCCH CCE、PUCCH、PRACH、寻呼、RRC连接等网络资源的消耗和占用情况,最后推导了限制LTE网络提供更多用户服务的瓶颈资源,提出了建设和运营优化时重点考察的瓶颈指标建议.     

因特网中"瓶颈"现象的分析与网络优化

随着业务和应用的发展、用户和规模的爆炸性增长,因特网面临许多挑战,如地址空间耗尽、服务质量（QoS）问题等。实质上,QoS问题与网络中存在的一些“瓶颈”是相关的。因特网中存在许多“瓶颈”,本文分析了几个关键“瓶颈”,包括：“最后-公里”、“最初-公里”、“对等点”、IP地址转换等。并且指出,关键“瓶颈”在不同历史阶段是不同的。随着技术进步,接入带宽和路由器目前已不是网络中最关键的“瓶颈”在不同历史阶段是不同的。随着技术进步,接入带宽和路由器目前已不是网络中最关键的“瓶颈”。当前,我们不能再单纯一味地升级网络,要重视对因特网进行优化,通过流量工程和CDN等技术,才能有效地从根本上解决问题。     

服务感知的移动P2P流媒体系统视频片调度算法

与有线网络相比,目前移动互联网的带宽普遍较低.这种情况下,如果移动P2P流媒体系统中用户节点上行带宽的利用率不高,将会极大地加重视频源服务器的负载,增加播放延时.为了充分地利用移动节点的上行带宽,缩短播放延时,文中提出了服务感知的视频片调度算法,它由请求算法和服务算法两部分组成.请求节点会根据最近的服务状况动态地调整请求的片数,减少服务拥塞的发生.服务节点会根据请求的优先级合理地安排上传顺序,提高服务的效率.仿真结果表明,该算法很好地适应了移动网络带宽低的情况,能够提高上行带宽的利用率,缩短播放延时.