宽带网络入侵检测系统负载均衡技术的实现

文中提出一种新型的基于高速网络的入侵检测系统的动态负载均衡技术，通过负载均衡将大量的网络数据分散到多个探测器上，实现对网络流量的负载均衡，更有效地解决高速网络环境下的实时入侵检测问题．文中将对系统的整体结构及其一些关键技术进行介绍．     

RoF通信系统中一种动态负载均衡策略研究与仿真

针对RoF系统的结构特点建立了一种树型结构模型.基于该模型,提出了一种动态负载均衡算法.仿真显示该算法实现了处理节点间的负载均衡,对比表明采用该负载均衡策略的系统具有较低的任务等待延时,系统性能有所提高.     

基于SED的自适应负载均衡研究

负载均衡是提高集群系统性能的重要技术,负载均衡技术可以在当前的网络应用结构上有效提高服务器处理能力,使系统在现有的结构下能够满足更多的用户同时访问所提供的服务,负载均衡算法是集群任务分配的核心。分析了影响服务节点性能的主要因素,基于SED算法提出了一种负载均衡的自适应机制,根据服务节点的性能状况自动调整权值。在Linux平台下进行了实验,测试结果显示该算法优于静态算法。     

以云计算为后台的负载均衡技术

通过理论与实验,提出利用云计算为后台的负载扩展技术架构,旨在解决企业或单位IT系统的负载问题。采用该架构的本地信息系统在负载波动或有特殊的资源需要时利用云计算超级处理、存储能力及按需分配的服务模式,把超出本地负载需要的处理和存储要求交由云计算平台处理,通过均衡负载算法,均衡本地负载能力,满足企业或单位业务变动对信息化的变化要求。实验表明该技术方案是可行的,并具有较高的实用价值。     

基于Agent的动态负载均衡技术及仿真实现

实现负载均衡需要解决三个关键问题，即负载状况的定义、负载探测以及均衡策略。文章分析了现有负载均衡技术存在的问题．这些问题包括负载探测的间接性，负载均衡的单向性、静态性和主观性等；提出一种基于Multi—Agent的动态负载探测技术和均衡策略，给出了相应的结构模型和算法，并进行了仿真试验，结果表明该技术优于其它负载均衡技术。     

多Web服务器负载均衡技术的研究

本文分析了近年来数据中心关键技术之一的多Web服务器的负载均衡技术,并设计和实现了一种基于软件的多Web服务器负载均衡软件原理,采用该方法能够有效地平衡负载,尤其适合于单台服务器处理用户请求能力不足而需要扩展三到五倍处理能力的中小型数据中心。     

基于改进遗传算法的服务器端负载均衡算法

在负载均衡技术中，负载调度方法是核心，它的好坏直接影响均衡系统的性能。提出一种基于改进遗传算法的服务器端负载均衡算法。该方法降低了服务器端请求的响应时间。提高了服务器端CPU的利用率。从而改善了系统性能。数据实例表明。该方法是可行的、正确的和有效的。     

基于Windows 2000的网站安全研究

简单介绍了防火墙、入侵检测安全技术,同时也简单介绍了网站负载均衡技术.分析了小型网站系统当前面临的主要安全问题以及相应的解决方法.并针对中小型企业网或者网站系统安全问题提出了一个解决方案.该方案基于Windows2000系统,结合防火墙、入侵检测以及负载均衡技术,为需要解决安全问题的网络系统提供了参考.     

数据中心服务器负载均衡问题研究

数据中心服务器的存储容量、处理能力、访问速度和忙闲不均等问题制约了数据中心服务能力提升。服务器负载均衡技术为解决这些问题提供了途径。文章介绍服务器负载均衡运行机制,即利用服务器健康性检测功能,根据系统资源利用率和服务类型确定负载均衡类型,设计负载均衡算法。分析软件、硬件和虚拟化技术负载均衡解决方案,并提出三者融合高质量实现数据中心服务器负载均衡的设计理念。     

高速环境下入侵检测系统设计

高速网络的出现对网络入侵检测系统的处理能力带来了挑战。在分析了影响入侵检测系统性能因素的基础上。文章提出了高速环境下入侵检测系统的设计和应用架构。采用了中央控制下的并行和分布式共存的负载均衡设计、数据存储和分析系统独立运行、多层次阻断手段结合的技术来提升入侵检测系统性能。实现了原型系统，并且对原型系统的部分指标进行了测试，验证了本文提出的入侵检测系统设计架构的有效性。     

Research on data load balancing technology of massive storage systems for wearable devices

Because of the limited memory of the increasing amount of information in current wearable devices, the processing capacity of the servers in the storage system can not keep up with the speed of information growth, resulting in low load balancing, long load balancing time and data processing delay. Therefore, a data load balancing technology is applied to the massive storage systems of wearable devices in this paper. We first analyze the object-oriented load balancing method, and formally describe the dynamic load balancing issues, taking the load balancing as a mapping problem. Then, the task of assigning each data node and the request of the corresponding data node’s actual processing capacity are completed. Different data is allocated to the corresponding data storage node to complete the calculation of the comprehensive weight of the data storage node. According to the load information of each data storage node collected by the scheduler in the storage system, the load weight of the current data storage node is calculated and distributed. The data load balancing of the massive storage system for wearable devices is realized. The experimental results show that the average time of load balancing using this method is 1.75 ?h, which is much lower than the traditional methods. The results show the data load balancing technology of the massive storage system of wearable devices has the advantages of short data load balancing time, high load balancing, strong data processing capability, short processing time and obvious application.     

ALP:一种面向CometCloud平台的自适应负载均衡方法

在云平台中,动态负载均衡对分配任务工作量、提高系统吞吐量、加强网络处理能力以及缩短任务处理时间起到了很重要的作用,然而由于工作节点资源运行信息的不断变化,现有的动态负载均衡策略难以很好地获得节点信息,因此提出了一种基于CometCloud系统平台的自适应负载均衡策略(ALP),ALP可以很好地获得工作节点的运行信息,并精确计算其负载状态。通过模拟实验与其他动态负载策略进行比较,ALP对云平台负载的调控效果良好。     

Scheduling algorithm for stochastic job stream cipher service based on load balancing

Business stream parallel processing system face the situation of the diversity of cipher service requests,the cross of serial mode and parallel mode,the intercross of different business data flow,and the demand of high speed and high reliability in security field.In order to improve the parallel processing efficiency of multi-cryptographic algorithm,load balancing was used as scheduling objective.Based on hierarchical hardware scheduling method (HHS-ACDID),considering the processing node’s storage capacity and processing speed,a load balancing scheduling algorithm was approved to support non related tasks and related tasks at the same time,which achieves the high speed cipher processing throughput.Simulation results show that the algorithm can complete dynamic scheduling of data stream system and get better load balancing effect.Compared with HHS-ACDID,the efficiency of the algorithm is improved by about 12%.     

Parallel Image Processing Technology of Surface Detection System

To improve image processing speed and detection precision of a surface detection system on a strip surface, based on the analysis of the characteristics of image data and image processing in detection system on the strip surface, the design of parallel image processing system and the methods of algorithm implementation have been studied. By using field programmable gate array（FPGA） as hardware platform of implementation and considering the characteristic of detection system on the strip surface, a parallel image processing system implemented by using multi IP kernel is designed. According to different computing tasks and the load balancing capability of parallel processing system, the system could set different calculating numbers of nodes to meet the system＇s demand and save the hardware cost.     

Dynamic load balancing among multiple fabrication lines through estimation of minimum inter-operation time

We propose a load balancing method which balances all processing operations of products among multiple semiconductor wafer fabrication lines (fabs) by using predictive scheduling results. Through a simulation experiment we confirmed that the proposed method enabled improved load balancing (compared to conventional methods) among multiple fabrication lines each of which can independently fabricate wafers and has different wafer processing capacity. The load balancing feature effectively reduces the waiting time at each process step and the lead time of all products in multiple fabs. Another promising application of the proposed method is performance evaluation of automated material handling systems (AMHS) in terms of inter-operation time, and we have used the method to evaluate the transportation efficiency of actual fabs.     

基于高档数控的实时多任务实现

为了解决高档数控系统对控制软件实时性的要求,提出了分时并行处理的设计方法,以实时环境下多线程技术的原理为依据,用Delphi提供的多线程编程组件完成了系统线程的具体实现,并且以开发实例的方式给出了多线程技术在实现数控系统实时响应中的应用。实时多任务的实现,显著提高了CPU的利用率,并使系统的可靠性得到了保证。     

Dynamic load balancing with learning model for Sudoku solving system

This paper proposes a dynamic load balancing with learning model for a Sudoku problem solving system that has multiple workers and multiple solvers. The objective is to minimise the total processing time of problem solving. Our load balancing with learning model distributes each Sudoku problem to an appropriate pair of worker and solver when it is received by the system. The information of the estimated solution time for a specific number of given input values, the estimated finishing time of each worker, and the idle status of each worker is used to determine the worker-solver pairs. In addition, the proposed system can estimate the waiting period for each problem. Test results show that the system has shorter processing time than conventional alternatives.     

基于负载均衡的Ad Hoc网络多信道MAC协议

在Ad hoc网络多信道MAC层协议中,信道的负载均衡问题会影响系统的性能,已有的负载均衡方法大多基于载波侦听技术,给每个数据信道配置一个物理载波侦听模块,这增加了设备复杂度和系统能耗。为此,提出了一种新的基于虚拟载波侦听的负载均衡方法,系统设置负载信息表记录每个数据信道的负载信息,使节点不需要侦听模块就可以获取数据信道上的负载量。仿真结果表明该方法提高了系统的性能。     

负载均衡集群技术在企业级PDM系统平台的应用

为了确保企业应用系统在大流量的客户端请求下,在提高网络速率有限的情况下,能承受客户端大量并发访问请求,尽可能大地提高系统的处理能力以及高稳定性。本文提供了以负载均衡集群技术为系统平台架构的方案。该方案以产品管理系统软件为应用软件,安装配置结合使用小型服务器热备机制、负载均衡技术以及数据库均衡技术一同实现的系统平台架构。从系统平台底层,改变传统单台系统服务器的使用压力,均衡分配对系统服务的访问负载量,排除单点故障瓶颈,提高整体系统访问速度和工作的生产效率。     

一种基于分层多代理的云计算负载均衡方法

针对现有云计算系统中负载均衡方法的不足,借鉴系统逻辑分层和多代理的思想,提出一种基于分层多代理的云计算负载均衡方法.通过对云计算平台逻辑分层,在任务代理层设置任务监控代理和任务子代理,根据用户任务的差异性,采用基于任务优先级和QoS目标约束的调度策略协同完成任务调度;在资源代理层设置资源监控代理和资源子代理,考虑物理节点的异构性,采用基于启发式贪婪的资源分配策略协同完成虚拟机到物理节点的映射.通过评估对比仿真实验,结果表明该方法在任务调度效率、任务完成时间、截止时间违背率和负载均衡度方面表现更优,多代理有效地分担了中心管理节点的管理负载,使云计算平台的任务处理能力、资源利用率及鲁棒性均得到了进一步的提升.