The vulnerability of structures to unforeseen events

A structure is vulnerable to an unforeseen event if it is not sufficiently robust. One insight into the lack of robustness is gained through the vulnerability of a structure to disproportionate collapse. In this paper, the importance of assessing the vulnerability of a structure to unforeseen events is highlighted and the nature of unforeseen events examined. A theory of structural vulnerability which examines the form of the structure to determine the most vulnerable sequence of failure events is briefly described. The potential for damage to propagate through a structure is examined through a new measure of hazard potential and vertical pushover analysis. An analysis of an example structure shows that such an approach is able to capture the weaknesses in a structure either due to form or external actions.     

One-dimensional partitioning for heterogeneous systems: Theory and practice

We study the problem of one-dimensional partitioning of nonuniform workload arrays, with optimal load balancing for heterogeneous systems. We look at two cases: chain-on-chain partitioning, where the order of the processors is specified, and chain partitioning, where processor permutation is allowed. We present polynomial time algorithms to solve the chain-on-chain partitioning problem optimally, while we prove that the chain partitioning problem is NP-complete. Our empirical studies show that our proposed exact algorithms produce substantially better results than heuristics, while solution times remain comparable.     

Dynamic load balancing with adaptive factoring methods in scientific applications

To improve the performance of scientific applications with parallel loops, dynamic loop scheduling methods have been proposed. Such methods address performance degradations due to load imbalance caused by predictable phenomena like nonuniform data distribution or algorithmic variance, and unpredictable phenomena such as data access latency or operating system interference. In particular, methods such as factoring, weighted factoring, adaptive weighted factoring, and adaptive factoring have been developed based on a probabilistic analysis of parallel loop iterates with variable running times. These methods have been successfully implemented in a number of applications such as: N-Body and Monte Carlo simulations, computational fluid dynamics, and radar signal processing. The focus of this paper is on adaptive weighted factoring (AWF), a method that was designed for scheduling parallel loops in time-stepping scientific applications. The main contribution of the paper is to relax the time-stepping requirement, a modification that allows the AWF to be used in any application with a parallel loop. The modification further allows the AWF to adapt to load imbalance that may occur during loop execution. Results of experiments to compare the performance of the modified AWF with the performance of the other loop scheduling methods in the context of three nontrivial applications reveal that the performance of the modified method is comparable to, and in some cases, superior to the performance of the most recently introduced adaptive factoring method.

分布式高可扩展负载平衡中间件技术研究

现有的负载平衡中间件大多采用单一的基于对象的负载平衡粒度,更多地关注同一对象组的不同副本之间的平衡,复杂的分布式应用往往存在多种不同类型的服务对象组共存的情况。该文基于CORBA技术,论述提高负载平衡中间件可扩展性的关键问题、解决方法及其实现,给出了相关的测试结果。     

基于退火策略的分布式资源负载均衡算法

针对分布式资源导致的访问热点等一系列问题,建立了一个用于分布式资源退火的处理模型.根据该模型,提出了基于退火策略的分布式资源负载均衡算法;该算法通过访问分类、定向扩散等方法提高了系统性能.性能及试验分析表明,该算法能够减少系统内部通信量,抑制资源扩散的抖动现象等.     

基于读写任务分发的数据库集群服务器的实现

该文在LVS基础之上将网络中传送的数据包变成SQL语句,通过负载均衡器把任务均衡分发到数据库集群服务器中,从而提高了查询、更新效率和芸现了负载均衡、数据同步;同时通过替换策略和更新策略消除了单负载均衡器的瓶颈问题。     

多源信息处理的实时集群计算机应用平台的实现

本文针对集群计算机系统实现的关键技术,重点分析了基于以太网的网络传输速率和操作系统实时性实现的特征,实现了国内首个基于动态任务分配表机制的多源信息处理的实时集群计算机系统应用平台;介绍了将该平台应用于测控系统的成功范例;证明了该系统的有效性。     

图像欧氏距离在人脸识别中的应用研究

图像欧氏距离可以嵌入到许多传统的图像分类识别算法中,该嵌入是通过对原始图像的线性变换来实现的,给出了一种基于数据场的图像线性变换方法,将其应用到图像欧氏距离中.实验结果表明,基于数据场的线性变换方法是一种可行的图像线性变换方法,该方法可以完成大尺度图像的线性变换,方便地将图像欧氏距离嵌入到传统人脸识别算法中.     

基于VRRP+MSTP协议的可靠性网络设计

针对现代企业对网络的可靠性需求,根据VRRP(Virtual Router Redundancy Protocol)和MSTP (Multiple Spaning Tree Protocol)协议理论,设计了一种方案使企业在访问网络中心数据时能实现路由冗余和负载均衡,在跨交换机同一子网内互访时也能够实现路由冗余和负载均衡,从而保证企业内关键业务的不间断运行,实现了网络的可靠性设计.