Application of intelligent data management in resource allocation for effective operation of manufacturing systems

Resource allocation has been a critical issue in manufacturing. This paper presents an intelligent data management induced resource allocation system (RAS) which aims at providing effective and timely decision making for resource allocation. This sophisticated system is comprised of product materials, people, information, control and supporting function for the effectiveness in production. The said system incorporates a Database Management System (DBMS) and fuzzy logic to analyze data for intelligent decision making, and Radio Frequency Identification (RFID) for result verification. Numerical data from diverse sources are managed in the DBMS and used for resource allocation determination by using fuzzy logic. The output, representing the essential resources level for production, is then verified with reference to the resource utilization status captured by RFID. The effectiveness of the developed system is verified with a case study carried out in a Hong Kong-based garment manufacturing company. Results show that data gathering before resource allocation determination is more efficient with the use of developed system where the resource allocation decision parameters in the centralize database are effectively determined by using fuzzy logic. Decision makers such as production managers are allowed to determine resource allocation in a standardized approach in a more efficient way. The system also incorporates RFID with Artificial Intelligence techniques for result verification and knowledge refinement. Therefore, fuzzy logic results of resource allocation can be more responsive and adaptive to the actual production situation by refining the fuzzy rules with reference to the RFID-captured data.     

Web Service Composition Based on QoS Rules

For workflow-based service composition approach, the relations between the Web service QoS and environments are usually not considered, so that the information about QoS for composite service selection is inaccurate. It makes the selected composite service inefficient, or even unexecutable. To address this problem, a novel service composition approach based on production QoS rules is proposed in this paper. Generally, it is very difficult to directly analyze how different kinds of environment factors influence the Web service QoS. We adopt “black-box” analysis method of optimizing composite services, discovering the knowledge such as “the QoS of one Web service will be higher in specific environments”. In our approach, the execution information of the composite service is recorded into a log first, which will be taken as the basis of the subsequent statistical analysis and data mining. Then, the timely QoS values of the Web services are estimated and the production QoS rules being used to qualitatively express the different performances of the Web service QoS in different environments are mined. At last, we employ the mined QoS knowledge of the Web services to optimize the composite service selection. Extensive experimental results show that our approach can improve the performance of selected composite services on the premise of assuring the selecting computation cost.     

A watershed data management and visualization system using code-first approach

With rapid growth of population and economic development in northwest China, water resource over-exploitation has led to severe deterioration of watershed ecosystems. In this study, we developed a hydrological information platform (called Watershed Datacenter System) for sharing, managing, analyzing and visualizing a diverse range of hydrologic data collected at watershed scale. This platform can help investigators and geotechnical experts to conduct watershed researches with the intensive data convenience. This Watershed Datacenter system (WDC) is developed with Entity Framework 6 (EF6) approach which based on Model-View-Controller (MVC) architecture pattern and several other useful technologies, such as ArcGIS API and Responsive web design. Observation Database Model (ODM), hydrological model as a service, Web services and time-series analysis tools are seamlessly integrated into our WDC with the help of open source HIS (Hydrologic Information System) from the CUAHSI (Consortium of Universities for the Advancement of Hydrologic Science, Inc.). The results demonstrate that the WDC offers quite a few advantageous features for managing and analyzing of the data for watershed research.     

Proactive planning of bandwidth resource using simulation-based what-if predictions forWeb services in the cloud

Resource planning is becoming an increasingly important and timely problem for cloud users.As more Web services are moved to the cloud,minimizing network usage is often a key driver of cost control.Most existing approaches focus on resources such as CPU,memory,and disk I/O.In particular,CPU receives the most attention from researchers,but the bandwidth is somehow neglected.It is challenging to predict the network throughput of modem Web services,due to the factors of diverse and complex response,evolving Web services,and complex network transportation.In this paper,we propose a methodology of what-if analysis,named Log2Sim,to plan the bandwidth resource of Web services.Log2Sim uses a lightweight workload model to describe user behavior,an automated mining approach to obtain characteristics of workloads and responses from massive Web logs,and traffic-aware simulations to predict the impact on the bandwidth consumption and the response time in changing contexts.We use a real-life Web system and a classic benchmark to evaluate Log2Sim in multiple scenarios.The evaluation result shows that Log2Sim has good performance in the prediction of bandwidth consumption.The average relative error is 2%for the benchmark and 8% for the real-life system.As for the response time,Log2Sim cannot produce accurate predictions for every single service request,but the simulation results always show similar trends on average response time with the increase of workloads in different changing contexts.It can provide sufficient information for the system administrator in proactive bandwidth planning.     

应用Web技术建立电力系统信息资源中心

本文根据当前Ｉｎｔｅｒｎｅｔ由初期的信息发布中心向未来的服务中心角色转变的趋势,利用最新的三层Ｃｌｉｅｎｔ／Ｓｅｒｖｅｒ结构、Ｗｅｂ数据库开发技术和交互式动态页面开发技术,论述了已开发成功的基于 Ｗｅｂ的电力系统信息资源中心站点的开发经验。其中重点提出了基于 Ｗｅｂ的计算代理服务的概念,提出利用ＣＧＩ的技术将现有的命令行计算程序无须改变的集成为电力系统计算代理库控件,充分利用其计算能力的方法,并给出了用此方法构造的基于Ｗｅｂ的潮流计算代理的实现和结果。同时文中还介绍了利用 Ｗｅｂ数据库技术实现可提供查询等服务的电力系统参考文档中心、网上资源链接中心、标准资源和应用软件中心、电力系统网上计算代理中心、电气设备参数查询系统和适用于实际部门的电力系统运行方式和参数在线检索中心等。     

Active XML-based Web data integration

Today, the Web is the largest source of information worldwide. There is currently a strong trend for decision-making applications such as Data Warehousing (DW) and Business Intelligence (BI) to move onto the Web, especially in the cloud. Integrating data into DW/BI applications is a critical and time-consuming task. To make better decisions in DW/BI applications, next generation data integration poses new requirements to data integration systems, over those posed by traditional data integration. In this paper, we propose a generic, metadata-based, service-oriented, and event-driven approach for integrating Web data timely and autonomously. Beside handling data heterogeneity, distribution and interoperability, our approach satisfies near real-time requirements and realize active data integration. For this sake, we design and develop a framework that utilizes Web standards (e.g., XML and Web services) for tackling data heterogeneity, distribution and interoperability issues. Moreover, our framework utilizes Active XML (AXML) to warehouse passive data as well as services to integrate active and dynamic data on-the-fly. AXML embedded services and changes detection services ensure near real-time data integration. Furthermore, the idea of integrating Web data actively and autonomously revolves around mining events logged by the data integration environment. Therefore, we propose an incremental XML-based algorithm for mining association rules from logged events. Then, we define active rules dynamically upon mined data to automate and reactivate integration tasks. Finally, as a proof of concept, we implement a framework prototype as a Web application using open-source tools.     

网格计算中Web服务技术研究

论文首先对网格计算中的Web服务技术的发展现状进行分析,阐述了Web服务架构、Web服务的表示与描述、Web服务中的信息交换、发现与发布的研究现状,然后对Web服务资 源模型、Web服务资源的描述、发现与定位以及Web服务资源调度与分配的发展进行了论述,最后指出了网格计算中Web服务技术发展所需要解决的重要问题。     

The WSLA Framework: Specifying and Monitoring Service Level Agreements for Web Services

We describe a novel framework for specifying and monitoring Service Level Agreements (SLA) for Web Services. SLA monitoring and enforcement become increasingly important in a Web Service environment where enterprise applications and services rely on services that may be subscribed dynamically and on-demand. For economic and practical reasons, we want an automated provisioning process for both the service itself as well as the SLA managment system that measures and monitors the QoS parameters, checks the agreed-upon service levels, and reports violations to the authorized parties involved in the SLA management process. Our approach to these issues is presented in this paper. The Web Service Level Agreement (WSLA) framework is targeted at defining and monitoring SLAs for Web Services. Although WSLA has been designed for a Web Services environment, it is applicable as well to any inter-domain management scenario, such as business process and service management, or the management of networks, systems and applications in general. The WSLA framework consists of a flexible and extensible language based on XML Schema and a runtime architecture comprising several SLA monitoring services, which may be outsourced to third parties to ensure a maximum of objectivity. WSLA enables service customers and providers to unambiguously define a wide variety of SLAs, specify the SLA parameters and the way they are measured, and relate them to managed resource instrumentations. Upon receipt of an SLA specification, the WSLA monitoring services are automatically configured to enforce the SLA. An implementation of the WSLA framework, termed SLA Compliance Monitor, is publicly available as part of the IBM Web Services Toolkit.     

A JESS-enabled context elicitation system for providing context-aware Web services

Providing context-aware Web services is an adaptive process of delivering contextually matched Web services to meet service requesters’ needs. We define the term “context” from two perspectives: one from service requesters; and the other from Web services. From the former perspective, context is defined as the surrounding environment affecting requesters’ services discovery and access, such as requesters’ preferences, locations, activities, and accessible network and devices. From the latter perspective, context is defined as the surrounding environment affecting Web services delivery and execution, such as networks and protocols for service binding, devices and platforms for service execution, and so on. This paper presents a Java Expert System Shell (JESS)-enabled context elicitation system featuring an ontology-based context model that formally describes and acquires contextual information pertaining to service requesters and Web services. Based on the context elicitation system, we present a context-aware services-oriented architecture for providing context-aware Web service request, publication, and discovery. Implementation details of the context elicitation system and the evaluation results of context-aware service provision are also reported.     

数字孪生甬江流域水资源“四预”应用研究

基于当前数字孪生流域发展背景及宁波市水资源利用特点，为满足宁波市水资源在不同时空下合理分配的需求，以甬江流域水资源管理与调配“四预”流程为切入点，深度融合数字孪生、BIM 建模等现代化信息技术，在建立来水预报分析、需水预测、水资源优化调配、水资源实时分析评价及水资源预警等各类模型的基础上， 构建具有“预报分析—监测预警—调配预演—调度预案—动态评价”功能的水资源管理与调配业务应用系统，以达到及时准确预报、全面精准预警、同步仿真预演、精细数字预案、多维动态评价的目标，最终实现水资源的智能优化调配与管理。     

G-lambda: Coordination of a Grid scheduler and lambda path service over GMPLS

At iGrid2005, we conducted a live demonstration where our Grid scheduling system co-allocated computing and network resources with advance reservation through Web services interfaces using the Grid Resource Scheduler (GRS), the Network Resource Management System (NRM), which is capable of GMPLS network resource management, and a GMPLS-based network test-bed, for the first time. The goal of the G-lambda project is to define a standard Web services interface (GNS-WSI) between GRS and NRM that is acceptable for both application service providers and commercial network operators, and which can be used as a tool for realizing new and emerging commercial services.     

Opening web applications for third-party development: a service-oriented solution

Web applications are nowadays prevalent software systems in our everyday’s life. A lot of these applications have been developed for end users only. Thus, they are not designed by considering future extensions that would be developed by third parties. One possible and interesting solution for opening these applications for such kind of extension development is to create and deploy Web services starting from these applications. In this paper, we present a method and a tool for semiautomatically creating Web service implementations from applications having Web interfaces. The proposed method generates operations that are published in Web services for each functionality provided by a Web application. In addition, it generates new operations starting from Web interfaces. Our approach goes further in the creation of services by generating executable orchestrations, as BPEL processes, starting from navigations in the Web interfaces of these applications and by providing BPMN choreography specifications starting from the collaborations between the generated Web services. We implemented and experimented our solution in the migration of three real-world Web applications toward Web service-oriented systems.     

p2pWeb: An open,decentralized infrastructure of Web servers for sharing ephemeral Web content

Nowadays, we are witnessing an increasing growth of Web 2.0 content such as micronews, blogs and RSS feeds. This trend exemplified by applications like Twitter and LiveJournal is starting to slow down not only by the limitations of existing services – proprietary and centralized, but also by the cumbersome process of discovering and tracking interesting content. This content is generally ephemeral and thus difficult to index by conventional Web search technology. This problem is exacerbated by the passive role adopted by Web content providers: it is surprising that Web servers publish information and expect that thousands of other servers (search engines, Web-based aggregators like GoogleNews, etc.) advertise their content to the world.In this work we propose p2pWeb, an open, decentralized infrastructure to enable Web servers to use their spare capacity to filter out, aggregate and disseminate Web content in a scalable and timely manner. p2pWeb is flexible enough to support a broad variety of services. The main property of p2pWeb is that all communication abstractions, including aggregation and multicast, are implemented hierarchically and using the HTTP protocol. Simulation results certify the viability of our approach.     

基于网络信息搜索的Web Service 文本描述信息扩充方法

随着Web服务技术的不断成熟和发展,互联网上出现了大量的公共Web服务.在使用Web服务开发软件系统的过程中,其文本描述信息(例如简介和使用说明等)可以帮助服务消费者直观有效地识别和理解Web服务并加以利用.已有的研究工作大多关注于从Web服务的WSDL文件中获取此类信息进行Web服务的发现或检索,调研发现,互联网上大部分Web服务的WSDL文件中普遍缺少甚至没有此类信息.为此,提出一种基于网络信息搜索的从WSDL文件之外的信息源为Web服务扩充文本描述信息的方法.从互联网上收集包含目标Web服务特征标识的相关网页,基于从网页中抽取出的信息片段,利用信息检索技术计算信息片段与目标Web服务的相关度,并选取相关度较高的文本片段为Web服务扩充文本描述信息.基于互联网上的真实数据进行的实验,其结果表明,可为约51％的互联网上的Web服务获取到相关网页,并为这些Web服务中约88％扩充文本描述信息.收集到的Web服务及其文本描述信息数据均已公开发布.     

Web页面跟踪系统的设计与实现

随着Web的迅猛发展，许多用户开始关注如何有效跟踪特定网站和页面的更新情况．介绍一个基于Intranet的Web页面跟踪系统，该系统采用动态跟踪调度算法DSA；利用线程池技术提高带宽利用率；设计了一套分布式信息存储机制；并实现及时的信息分发．     

An intelligent Internet information delivery system to evaluate site preferences

Due to the continual growth of the popularity of the Internet, commercial as well as industrial companies have been advertising their products and services via the Web, resulting in a drastic increase in the number of Web sites. With a huge amount of information available on various Web sites, it is important that the relevant and useful information favored by individual visitors is delivered to the destinations in a timely manner. The two traditional approaches for sorting web information including search engines and hierarchical indices require specific input by the visitors who may not have any specific favorite sites in mind. In most cases, site surfers are just “window-shopping” on the Internet, looking for “exciting” things. This paper proposes the development of an Intelligent Internet Information Delivery System (IIIDS) which is characterized by its machine learning capability based on the data of site spots “movements” by the users within the Web pages and then evaluates the site preferences of the relevant users by means of fuzzy logic principle. The development of IIIDS and the test of a prototype to evaluate its feasibility are covered in this paper.     

Agent based intelligent search framework for product information using ontology mapping

The Semantic Web and Web services provide many opportunities in various applications such as product search and comparison in electronic commerce. We implemented an intelligent meta-search and recommendation system for products through consideration of multiple attributes by using ontology mapping and Web services. Under the assumption that each shopping site offers product ontology and product search service with Web services, we proposed a meta-search framework to configure a customer’s search intent, make and dispatch proper queries to each shopping site, evaluate search results from shopping sites, and show the customer the relevant product list with associated rankings. Ontology mapping is used for generating proper queries for shopping sites that have different product categories. We also implemented our framework and performed empirical evaluation of our approach with two leading shopping sites in the world.     

基于语义服务的虚拟企业伙伴双向搜索方法*

为提高伙伴搜索系统的开放性和查准率,通过引入Web服务和本体技术,提出了一种基于语义服务的伙伴搜索模型。该模型使用OWL-S描述盟主企业的任务型服务和成员企业的资源型服务,介绍了语义相似度的计算方法以及一种基于语义相似度的任务型服务与资源型服务的匹配算法。针对伙伴搜索的实时动态性及盟主企业和成员企业双方利益最大化需求,介绍了双向搜索的搜索规则,提出了基于以上模型的虚拟企业伙伴的双向搜索机制。最后,对该方法进行了分析评价。