分布式对象在Web Services网络中的复用研究

WebServices网络是适用于异构和快速变化环境中的一种新型分布式计算模型。在研究分布式对象架构和Web服务架构的基础上,分析了分布式对象在Web服务网络中的复用原理,对分布式对象在WebServices网络中复用的基本问题进行了一些探讨,并用Java语言实现了简单DCOM对象和CORBA对象在ApacheSOAP中的复用。

A Distributed Optimal Scheme Based on Local QoS for Web Service Composition

The goal of web service composition is to choose an optimal scheme according to Quantity of Service （QoS） which selects instances in a distributed network. The networks are clustered with some web services such as ontologies, algorithms and rule engines with similar function and interfaces. In this scheme, web services acted as candidate service construct a distributed model which can＇t obtain the global services＇ information. The model is utilized to choose instances according to local QoS information in the progress of service composition. Some QoS matrixes are used to record and compare the instance paths and then choose a better one. Simulation result has proven that our ~pproach has a tradeoff between efficiency and ~quality.

HTTP-sCAN:Detecting HTTP-Flooding Attack by Modeling Multi-Features of Web Browsing Behavior from Noisy Web-Logs

HTTP-flooding attack disables the victimized web server by sending a large number of HTTP Get requests.Recent research tends to detect HTTP-flooding with the anomaly-based approaches,which detect the HTTP-flooding by modeling the behavior of normal web surfers.However,most of the existing anomaly-based detection approaches usually cannot filter the web-crawling traces from unknown searching bots mixed in normal web browsing logs.These web-crawling traces can bias the base-line profile of anomaly-based schemes in their training phase,and further degrade their detection performance.This paper proposes a novel web-crawling tracestolerated method to build baseline profile,and designs a new anomaly-based HTTP-flooding detection scheme(abbr.HTTP-sCAN).The simulation results show that HTTP-sCAN is immune to the interferences of unknown webcrawling traces,and can detect all HTTPflooding attacks.

A Web-based Intelligent Fashion Design System

A web-based fashion design system-FashDesn was developed for non-professionals to make their own style-based design by choosing and combining fashion parts. We use genetic algorithm to find the optimal satisfied style, while the fitness function of GA is approached by artificial neural network. The users’ style intention can be reached through the learning process of the artificial neural network. The system architecture and some realization details of the system are given in the paper. An output contrast for elegant style women’s before and after user’s interaction is used to illustrate its usefulness in the end.

Approach to Enterprise Application Integration with Web Services

Enterprise Application Integration (EAI) would be linking diverse systems and applications across the enterprise to enable the enterprise IT systems to adapt to the dynamic business environment and automate any business practices. Whereas, with traditional EAI solution, it is difficult to efficiently link the different proprietary applications and data sources, and difficult to enable the system to rapidly identify and respond to changes in the dynamic business environment. In order to solve these problems, this paper uses the Web Services technology for EAI. This paper discusses the traditional EAI technologies and the bottlenecks for applications integration, also elaborates the Web Services technology and the advantages suited for applications integration. Therefore, the model of EAI with Web Services (EAIWS) is proposed to efficiently implement the integration of diverse applications and systems within or between the enterprises. With EAIWS, this paper provides an example to show how the application system works. This paper also discusses the advantages of EAIWS.

Learning trendiness from twitter to web： a comparative analysis of microblog and web trending topics

The development of microblog services has a considerable etfect on the patterns oI wed access and Internet resources discovery. Understanding the interrelation between information diffusion in online social media and user web interests can help the web ecosystem stakeholders in developing new services and designing efficient systems with optimized resources. This paper explores whether or not one can infer the trends of topics in the web by observing the Twitter microcosm. Using data- sets collected from Twitter and two representative web services （Google and Alexa）, this work con- ducts a comparative analysis between trending patterns of topics in Twitter and in the web by consid- ering both the temporal and spatial perspectives, and finds that individual topics in Twitter and in the web share similar trending patterns both from the temporal and spatial aspects. Nevertheless, the tren- diness in Twitter can precede for a few hours and is highly unstable compared to the one in web. The application of these findings is also discussed on ad keywords planning in Search Engine Marketing.

Dynamic Web services discovery based on similarity computation

A new approach for dynamic Web services discovery based on similarity computation in the treatment of massive Web information resource is put forward. Firstly, three kinds of service description information, textual, semantic and structural information, were modeled to compute the similarity of services. Then a novel dynamic Web services discovery mechanism was provided and the experiment on it was carried out. Results show that the new approach achieves considerable performance on precision and efficiency metrics for dynamic Web services discovery.

Scalable Load-Adaptive Web-Based Network Management System： An Architectural Prototype

With the advances in enterprise communication and web technologies, web has evolved into a platform for delivering interactive applications. Web-based applications are revolutionizing both the features that can be delivered and the technologies for developing and deploying applications. In this paper, we present a web-based load-adaptive network management system framework. Our system is scalable, extendable, modular and based on open architecture. It is also load-adaptive as it can adapt to the increase in the number of incoming Web Service requests so that the systems performance will not degrade under heavy request loads. To evaluate the proposed architecture, we built a multi-tiered web application testbed with open-source components widely used in industry. Experimental studies conducted on the testbed demonstrated the effectiveness of the proposed approach. By developing the platform and making it available to the research community, we hope to catalyze the development of an open source stack for Web-based network management and monitoring.

Constructing Geo-information Sharing Architecture

Along with the development of Internet, geo-information sharing and Open GIS are of increasing importance for GIS application fields. Southwestern China consists of several provinces or districts, they are Sichuan, Guizhou, Yunnan, Chongqing, etc. The economic and information cooperation among them are of significance. The pilot platform for resource and environment geo-information sharing for the southwestern China based on Web services, OGC(Open GIS Consortium) WFS(Web feature service) is constructed. Via this pilot platform, a loose information sharing mode can be implemented to improve their cooperation level.

Grid Service Framework: Supporting Multi-Models Parallel Grid Programming

Web service is a grid computing technology that promises greater ease-of-use and interoperability than previous distributed computing technologies. This paper proposed Group Service Framework, a grid computing platform based on Microsoft. NET that use web service to: (1) locate and harness volunteer computing resources for different applications, and (2) support multi-models such as Master/Slave, Divide and Conquer, Phase Parallel and so forth parallel programming paradigms in Grid environment, (3) allocate data and balance load dynamically and transparently for grid computing application. The Grid Service Framework based on Microsoft. NET was used to implement several simple parallel computing applications. The results show that the proposed Group Service Framework is suitable for generic parallel numerical computing.

An approach to quality assessment for web service selection based on the analytic hierarchy process for cases of incomplete information

Since web services intended for the same application environment tend to be functionally homogeneous, researchers have turned to their non-functional aspects in order to constructively compare web services and choose an appropriate one. In general, quality of service is very important to users. Many schemes that consider quality assessment have been proposed for web service selection. With the increasing number of qualityrelated attributes, an effective quality assessment method needs satisfactory scalability. Schemes based on the analytic hierarchy process(AHP) meet this requirement. However, prevalent methods in this vein overlook the fact that the traditional AHP needs a complete judgment matrix. In practice, all the information needed to construct a judgment matrix is often unavailable for a variety of reasons, due to which certain judgments cannot be made. In this paper, for an incomplete judgment matrix, we propose an improved AHP approach to consistency verification and the subsequent ordering. Our method can deal with situations where information is insufficient,and inherits all the merits of the traditional AHP approach. A case study establishes the effectiveness of our proposed method.