一种三维网络拓扑服务端动态渲染实现方案

研究一种三维网络拓扑服务端动态渲染方法，通过不断捕捉Web用户交互操作并发送至改造的服务端渲染组件，提取出资源消耗极大的3D拓扑渲染任务，将其从资源紧缺的客户端转移到资源丰富的服务端进行处理，在保证Web用户交互操作的同时优化了系统的响应效率。本方案可以解决运营商大规模网络拓扑的三维渲染性能问题，面向众多网络运营人员，使用场景不再受限于运营人员的电脑性能，大幅度扩充使用范围。     

基于Web前端的性能优化方案研究及应用

针对Web前端性能低下的问题,通过分析Web的工作机制,分析影响前端性能优化的因素,并提出一个通用性强的Web前端性能优化解决方案。结合案例"新型生猪养殖系统"进行性能优化实践,页面加载时间从优化前37.65s降低到9.02s,页面加载时间减少76.04%,提升了用户体验。     

Web应用系统的优化与实践

随着Web应用系统的规模越来越大,性能优化问题变得越来越突出。通过优化,可以提高Web应用系统的易用性和性能,从而提高用户的满意度。本文首先分析了Web应用系统的性能优化原理,提出从客户端和服务器端两个方面对系统进行优化;以某电子商务网站为例,介绍了采用AJAX等技术进行性能优化的实践过程。     

基于DBP的Web用户行为分析关键技术

文章针对Web用户行为分析所面临的"无规范、智能性差"问题,提出基于动态行为轮廓库(DBP)的行为分析方法,从数据净化、用户识别、事务识别、用户行为模式匹配几方面进行详细阐述,建立基于DBP的Web用户行为分析模型。首次提出基于DBP的Web用户行为分析关键技术,采用网站黄页法和逆向搜索引擎法构建DBP,通过实验验证,此方法很好解决了Web用户行为分类问题,能很好应用到Web用户行为分析领域。     

基于Web系统的性能测试

Web应用系统具有方便、快速、易操作性等特点，使得社会中的各行业越来越倾向于使用Web应用系统开展自身业务以及扩大社会影响力。随着Web应用系统的广泛使用，用户对性能的要求越来越高。该文主要介绍了Web应用系统的关键性能指标及测试方法，结合案例评估和分析Web应用系统性能的过程。     

基于JavaScript的动态Web应用系统设计

当前桌面动态Web应用系统存在移动设备屏幕小、带宽低、不方便输入等弊端,在工作中可能会出现布局混乱、功能失效的问题,用户体验性不好。为此,设计了一种新的基于Java Script的动态Web应用系统,给出动态Web应用系统体系结构,其由用户层、Java Script引擎层、Web服务层及数据层构成,介绍了系统总体结构和硬件架构。详细分析了S3C44BOX芯片,给出JTAG接口和RS 485通信模块的设计过程。实验结果表明,该系统加载性能和程序执行效率高,安全性强。     

ASP技术在网络新闻系统中的运用

ASP技术以其动态、交互、高效的Web服务器应用程序提供技术将脚本、HTML、组件和强大的Web数据库访问功能结合在一起,形成一个能在服务器上运行的应用程序,并把按用户的要求专门制作的HTML页面送给客户端浏览器。本文即探索其在网络新闻系统中的运用。     

基于Web挖掘的个性化学习系统

随着Internet的深入发展和不断的普及,Web已经成为人们获取信息,进行学习的最重要的手段之一.但是,目前Web系统只为所有用户提供相同的服务,而Web用户的需求却千差万别,用户希望Web系统能够根据他们的不同特性提供个性化的服务.普通的学习系统已经不能适应他们的学习,不能体现他们的个性化.因此,根据他们的不同特性开发个性化的学习系统已变得相当重要.     

智慧协同标识网络

创造性地提出了以"三层"、"两域"为典型特征的智慧协同标识网络结构模型。"三层"即智慧服务层、资源适配层和网络组件层;"两域"即实体域和行为域。在此基础上,分别建立了智慧服务层、资源适配层和网络组件层的基本理论,以在有效解决网络可扩展性、移动性、安全性等问题的基础上,大幅度提高网络资源利用率,降低网络能耗,显著提升用户体验。     

基于数据可视化的农民工异地医疗分析系统

如今各个领域的数据展示中都广泛应用数据可视化技术,特别是在Web应用方面,各种类型的网站都在使用数据可视化技术丰富和美化页面,从而吸引用户的眼球。然而,数据可视化技术是一个涉及到多种学科和技术的交叉领域,研究人员很难掌握所有相关的知识。随着Web2．0时代的到来,大量可视化组件的研发解决了这个问题,使得可视化技术的应用更加得心应手。在讨论数据可视化概念的基础上介绍了农民工异地医疗数据分析系统及系统中数据可视化的应用,并描述了系统中运用的可视化组件及实现方法。     

Highly Personalized Information Delivery to Mobile Clients

The inherent limitations of mobile devices necessitate information to be delivered to mobile clients to be highly personalized according to their profiles. This information may be coming from a variety of resources like Web servers, company intranets, email servers. A critical issue for such systems is scalability, that is, the performance of the system should be in acceptable limits when the number of users increases dramatically. Another important issue is being able to express highly personalized information in the user profiles, which requires a querying power as that of SQL on relational databases. Finally, the results should be customized according to user needs, preferences and the mark up language of their mobile device. Since the queries will be executed on the documents fetched over the Internet, it is natural to expect the documents to be XML documents.This paper describes an architecture for mobile network operators to deliver highly personalized information from XML resources to mobile clients. To achieve high scalability in this architecture, we index the user profiles rather than the documents because of the excessively large number of profiles expected in the system. In this way all queries that apply to a document at a given time are executed in parallel through a finite state machine (FSM) approach while parsing the document. Furthermore, the queries that have the same FSM representation are grouped and only one finite state machine is created for each group which contributes to the excellent performance of the system as demonstrated in the performance evaluation section.To provide for user friendliness and expressive power, we have developed a graphical user interface that translates the user profiles into XML-QL. XML-QL's querying power and its elaborate CONSTRUCT statement allows the format of the results to be specified. The results to be pushed to the mobile clients are converted to the markup language of the mobile device such as Wireless Markup Language (WML), CHTML or XHTML by the delivery component of the system.     

Efficient web content delivery using proxy caching techniques

Web caching technology has been widely used to improve the performance of the Web infrastructure and reduce user-perceived network latencies. Proxy caching is a major Web caching technique that attempts to serve user Web requests from one or a network of proxies located between the end user and Web servers hosting the original copies of the requested objects. This paper surveys the main technical aspects of proxy caching and discusses recent developments in proxy caching research including caching the "uncacheable" and multimedia streaming objects, and various adaptive and integrated caching approaches.     

Web Server Performance Modeling

The advent of Web technology has made Web servers core elements of future communication networks. Although the amount of traffic that Web servers must handle has grown explosively during the last decade, the performance limitations and the proper tuning of Web servers are still not well understood. In this paper we present an end-to-end queueing model for the performance of Web servers, encompassing the impacts of client workload characteristics, server harware/software configuration, communication protocols, and interconnect topologies. The model has been implemented in a simulation tool, and performance predictions based on the model are shown to match very well with the performance of a Web server in a test lab environment. The simulation tool forms an excellent basis for development of a Decision Support System for the configuration tuning and sizing of Web servers.     

Efficient complementary caching for ISP-aware networks

Internet service providers(ISPs) have taken some measures to reduce intolerable inter-ISP peer-to-peer(P2P) traffic costs,therefore user experiences of various P2P applications have been affected.The recently emerging offline downloading service seeks to improve user experience by using dedicate servers to cache requested files and provide high-speed uploading.However,with rapid increase in user population,the server-side bandwidth resource of offline downloading system is expected to be insufficient in the near future.We propose a novel complementary caching scheme with the goal of mitigating inter-ISP traffic,alleviating the load on servers of Internet applications and enhancing user experience.Both architecture and caching algorithm are presented in this paper.On the one hand,with full knowledge of P2P file sharing system and offline downloading service,the infrastructure of complementary caching is designed to conveniently be deployed and work together with existing platforms.The co-operational mechanisms among different major components are also included.On the other hand,with in-depth understanding of traffic characteristics that are relevant to caching,we develop complementary caching algorithm with respect to the density of requests,the redundancy of file and file size.Since such relevant information can be real-time captured in our design,the proposed policy can be implemented to guide the storage and replacement of caching unities.Based on real-world traces over 3 months,we demonstrate that the complementary caching scheme is capable to achieve the ’three-win’ objective.That is,for P2P downloading,over 50% of traffic is redirected to cache;for offline downloading,the average server-dependence of tasks drops from 0.71 to 0.32;for user experience,the average P2P transfer rate is increased by more than 50 KB/s.     

DataWare在网络管理中的应用

NT服务器是网络中至关重要的设备，要求必须严格监控他以便为企业提供可靠、及时、不间断的服务。DataWare将两部NT服务器构成相互备份的服务器簇，当工作主机当机时，备份主机可迅速侦测出并自动探取接替(Takeover)，用户可在最短时间内恢复作业，避免服务器修机造成损失。     

Geoinformation technology of forecasting of ore deposits

The components of web-based technology used in the geoinformational research of spatial data, as well as its application to the regional forecast of plumbum-zinc and copper deposits in Bulgaria, are discussed. The substantial characteristics of the technology are a web-based access to data located in both remote servers and a user computer, modern methods for extracting relevant information from data (they are implemented via operations in which a subject-field specialist need not have in-depth training in the field of geoinformation science), and the high interactivity and visualization of analysis. The technology is implemented as a web-based geographic information system GeoProcessor 2.0. The presented examples demonstrate that this system can be efficiently employed to perform scientific investigations and solve applied problems.     

Continuous multicast push of Web documents over the Internet

The success of the World Wide Web has led to a steep increase in the user population and the amount of traffic on the Internet. Popular Web pages create “hot spots” of network load due to their great demand for bandwidth and increase the response time because of the overload on the Web servers. We propose the distribution of very popular and frequently changing Web documents using continuous multicast push. The benefits of CMP in the case of such documents are a very efficient use of network resources, a reduction of the load on the server, lower response times, and scalability for an increasing number of receivers. We present a quantitative evaluation of the continuous multicast push for a wide range of parameters     

Estimation‐Based Load‐Balancing with Admission Control for Cluster Web Servers

The growth of the World Wide Web and web‐based applications is creating demand for high performance web servers to offer better throughput and shorter user‐perceived latency. This demand leads to widely used cluster‐based web servers in the Internet infrastructure. Load balancing algorithms play an important role in boosting the performance of cluster web servers. Previous load balancing algorithms suffer a significant performance drop under dynamic and database‐driven workloads. We propose an estimation‐based load balancing algorithm with admission control for cluster‐based web servers. Because it is difficult to accurately determine the load of web servers, we propose an approximate policy. The algorithm classifies requests based on their service times and tracks the number of outstanding requests from each class in each web server node to dynamically estimate each web server load state. The available capacity of each web server is then computed and used for the load balancing and admission control decisions. The implementation results confirm that the proposed scheme improves both the mean response time and the throughput of clusters compared to rival load balancing algorithms and prevents clusters being overloaded even when request rates are beyond the cluster capacity.     

Web信息的分布式在线评测技术

通过对Web信息的跟踪记录可以实现网上用户行为的分析,同时也为Web Server和Web Cache的性能评测提供了原始数据.本文提出了分布式在线评测解决方案.该方案通过网络监听产生评测的日志,并利用分布处理扩大了系统的吞吐率,提高了系统的可用性.同时,通过在线重构、数据内核过滤等关键技术有效地提高了系统的性能.