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Value Network Based Service Choreography Design and Evolution

Value Network Based Service Choreography Design and Evolutio...

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IEEE International Conference on e-Business Engineering (ICEBE)

作者： Zhongjie Wang Dianhui Chu Xiaofei Xu Research Center of Intelligent Computing for Enterprises and Services (ICES) School of Computer Science and Technology Harbin Institute of Technology Harbin China

We present a pattern-oriented service design and evolution approach by transforming the high-level service value network into service choreography scenario. In this approach, “value” is considered the ultimate goal of a service, and designing an executable SOA-based service system starts from the acquisition of business-level value exchange relationships between participants in the service. Such value information is modeled as Service Value Network (SVN). Following a four-step process, SVN is gradually mapped to software-level service choreography and the corresponding interface design, thereby keeping the consistency between both levels. Especially, we present five typical service value exchange patterns to facilitate the construction and transformation of SVN with higher efficiency. A case study from ocean transportation service is shown for demonstration.

关键词： Software Outsourcing Object oriented modeling Companies Copper Transportation

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Comprehensive Practice on Service Engineering: An Experimental Solution

Comprehensive Practice on Service Engineering: An Experiment...

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International Conference on Service sciences (ICSS)

作者： Zhongjie Wang Xiaofei Xu Dianhui Chu Lanshun Nie Tianyi Zang Xiaofeng Liu Research Center of Intelligent Computing for Enterprises and Services (ICES) School of Computer Science and Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)9781424466030;9780769540177

To develop a well-designed curriculum of service engineering is a prerequisite for training students get new skills and ability to design and develop globally effective solutions in a service business environment. As service engineering is an application-oriented discipline, sufficient practice is extremely important. In this paper, we show an experimental solution of a course "comprehensive practice on service engineering", which has been explored for three years in Harbin Institute of Technology. Its objective, process, execution program, and detailed design of each phase, are elaborately presented. Lessons learned from the explorations and future improvement on this solution, are briefly discussed.

关键词： Design engineering Knowledge engineering Engineering management Educational institutions Ice computer science Electronic mail Continuous improvement Systems engineering and theory Technological innovation

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A Case Study on the Value Models of Ocean Transportation Service

A Case Study on the Value Models of Ocean Transportation Ser...

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International Conference on Service sciences (ICSS)

作者： Xu Shao Zhongjie Wang Xiaofei Xu Chao Ma Research Center of Intelligent Computing for Enterprises and Services (ICES) School of Computer Science and Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)9781424466030;9780769540177

VASEM is a methodology to be aware of service values among participants and to analyze values' relationship to direct service system design. Value model is an important part in VASEM, and is foundation of value analysis. Ocean Transportation Service is a typical service system. Take it as a case, we verify the usability of value model in a certain field. We analyze the values in Ocean Transportation Service System with 4-layer value model, introduce the forms and specifications of each model, and present a whole view of the service by VPM, POVN and VDM. On the last layer - VAM, Value Model is combined with SMDA model by value annotation. And we show a segment of the service process to form primary methods for value annotation.

关键词： Oceans Marine technology State feedback Chaos intelligent transportation systems Ice computer science System analysis and design Usability Aerospace industry

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The Bundling of Multiple Requirements for Maximizing the Utilization of Service Resources

The Bundling of Multiple Requirements for Maximizing the Uti...

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IEEE International Conference on e-Business Engineering (ICEBE)

作者： Zhongjie Wang Xiaofei Xu Dianhui Chu Xianzhi Wang Research Center of Intelligent Computing for Enterprises and Services (ICES) School of Computer Science and Technology Harbin Institute of Technology Harbin China

We present a service resource selection and scheduling approach capable of maximizing the resource utilization rate (RUT) and the requirement satisfaction degree (RSD) by bundling multiple customer requirements (CRs). In traditional approaches, each CR is optimally satisfied by independently selecting a set of candidate service resources. This possibly leads to a low RUT and low RSD. In our approach, multiple CRs raised within a certain time period are bundled and a virtual service resource (VSR) is constructed to satisfy these requirements simultaneously by making full use of the sharing nature of resources. Specifically, each CR is first decomposed into a set of atomic requirements, which are then re-aggregated according to their requested resources. For four types of service-resource sharing patterns, we present the corresponding greedy algorithms that construct the VSR and its scheduling. The goals of our methods are (1) maximizing the satisfaction degree of CRs and (2) maximizing the RUT of service resources. The effectiveness of our approach is demonstrated in an experiment for a typical scenario of ocean transportation service.

关键词： Strontium Concrete Job shop scheduling Resource management Quality of service Containers

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A Value-Driven Approach for the Determination of Global Optimization Objective of Service Composition

A Value-Driven Approach for the Determination of Global Opti...

引用

IEEE International Conference on Services computing (SCC)

作者： Zhongjie Wang Xiaofei Xu Dianhui Chu Chao Ma Research Center of Intelligent Computing for Enterprises and Services ICES School of Computer Science and Technology Harbin Institute of Technology Harbin China

We present a value-driven approach capable of determining the global optimization objective of service composition to satisfy high-level value expectations. In traditional service composition methods, global and local QoS requirements and constraints are directly raised by customers, then a set of service components (web services) are selected to achieve the optimized QoS. Yet in practice, there is no mechanism helping customers accurately and comprehensively determine their QoS desires. In our approach, a customer's initial expectations of high-level global values are first put forward, and then five types of dependencies between service values are analyzed. Because values are realized under the facilitation of specific service components, value expectations and value dependencies are transformed into the objective and constraints of service selection and composition, respectively. Another feature of our approach is that, besides web services, other generalized service components such as human activity and physical resources are considered as potential components for fulfilling value expectations. The effectiveness of our approach is demonstrated in a case study of ocean transportation service (OTS).

关键词： Quality of service Optimization Containers Receivers Transportation Web services Reliability

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A Generalized Service Resource Management Framework

A Generalized Service Resource Management Framework

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International Conference on Service sciences (ICSS)

作者： Yanqiu Meng Zhongjie Wang Xiaofei Xu Xianzhi Wang Research Center of Intelligent Computing for Enterprises and Services (ICES) School of Computer Science and Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)9781424466030;9780769540177

This paper presents a service resource management system. It is oriented to both single and integrated service resources and manages every stage of service resource lifecycle efficiently which includes registering, publication, usage, destruction processes. To satisfy different specific service area, the developer only needs to configure the template provided by the service resource management system, which will greatly shorten the development cycle and increase the development efficiency. The paper is organized as follows: firstly, the paper presents the concept of the service resources, and introduces how to classify and depict them. Secondly, using UML use case analyzes the requirement of the service resource management. Thirdly, the service resource management system design is put forward. At the end, it introduces how to apply the system to a specific service area briefly.

关键词： Resource management Paper technology Environmental management Ice computer science Intserv networks Unified modeling language Acceleration Economic indicators Business communication

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Value Annotation for Service Model Analysis

Value Annotation for Service Model Analysis

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International Conference on Service sciences (ICSS)

作者： Zhongjie Wang Xiaofei Xu Dianhui Chu Chao Ma Xu Shao Research Center of Intelligent Computing for Enterprises and Services (ICES) School of Computer Science and Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)9781424466030;9780769540177

Service modeling is a critical step in describing customer requirements and designing service systems. The quality of service models determines the quality of service systems to a great extent. To analyze the service models in a way that would show deficiencies in delivering service values, we propose the idea of "value annotation" by which expected values are labeled on the functional elements of service models, and their implementation degrees are connected with QoS of these functional elements. Value annotation's elementary principles, process, and model forms are presented. Then, the preliminary principles of value annotation-based service model analysis are briefly introduced. To complement the above discussion, a small case study from ocean transportation service is applied for demonstration.

关键词： Quality of service Economic forecasting Chaos Ice computer science Electronic mail Oceans Transportation Collaboration Process design

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A value-oriented model for managing service supply chains

A value-oriented model for managing service supply chains

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IEEE International Conference on Industrial Engineering and Engineering Management

作者： T. He W. Ho X.F. Xu Research Center of Intelligent Computing for Enterprises and Services School of Computer Science and Technology Harbin Institute of Technology Harbin China Operations & Information Management Group Aston Business School Aston University Birmingham UK

Service supply chain (SSC) has attracted more and more attention from academia and industry. Although there exists extensive product-based supply chain management models and methods, they are not applicable to the SSC as the differences between service and product. Besides, the existing supply chain management models and methods possess some common deficiencies. Because of the above reasons, this paper develops a novel value-oriented model for the management of SSC using the modeling methods of E3-value and Use Case Maps (UCMs). This model can not only resolve the problems of applicability and effectiveness of the existing supply chain management models and methods, but also answer the questions of `why the management model is this?' and `how to quantify the potential profitability of the supply chains?'. Meanwhile, the service business processes of SSC system can be established using its logic procedure. In addition, the model can also determine the value and benefits distribution of the entire service value chain and optimize the operations management performance of the service supply.

关键词： Biological system modeling Supply chains Supply chain management Analytical models Industries Adaptation model

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On Dynamic Weighting of Data in Clustering with K-Alpha Means

On Dynamic Weighting of Data in Clustering with K-Alpha Mean...

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International Conference on Pattern Recognition

作者： Si-Bao Chen Hai-Xian Wang Bin Luo Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei Anhui China Key Laboratory of Child Development and Learning Science of Ministry of Education Research Center of Learning Science South-East University Nanjing Jiangsu China

ISBN: (纸本)9781424475421

Although many methods of refining initialization have appeared, the sensitivity of K-Means to initial centers is still an obstacle in applications. In this paper, we investigate a new class of clustering algorithm, K-Alpha Means (KAM), which is insensitive to the initial centers. With K-Harmonic Means as a special case, KAM dynamically weights data points during iteratively updating centers, which deemphasizes data points that are close to centers while emphasizes data points that are not close to any centers. Through replacing minimum operator in K-Means by alpha-mean operator, KAM significantly improves the clustering performances.

关键词： Clustering algorithms Heuristic algorithms Indexes Partitioning algorithms Signal processing algorithms Euclidean distance Iris

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Subspace selection using semi-supervised harmonic mean of Kullback-Leibler divergences

Subspace selection using semi-supervised harmonic mean of Ku...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Si-Bao Chen Hai-Xian Wang Bin Luo Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei Anhui China Key Lab of Child Development and Learning Science of Ministry of Education Research Center of Learning Sciences South-East University Nanjing Jiangsu China

In many areas of pattern recognition and machine learning, subspace selection is an essential step. Fisher's linear discriminant analysis (LDA) is one of the most well-known linear subspace selection methods. However, LDA suffers from the class separation problem. The projection to a subspace tends to merge close class pairs. A recent result, named maximizing the geometric mean of Kullback-Leibler (KL) divergences of class pairs (MGMD), can significantly reduce the class separation problem. Furthermore, maximizing the harmonic mean of Kullback-Leibler (KL) divergences of class pairs (MHMD) emphasizes smaller divergences more than MGMD, and deals with the class separation problem more effectively. However, in many applications, labeled data are very limited while unlabeled data can be easily obtained. The estimation of divergences of class pairs is unstable using inadequate labeled data. To take advantage of unlabeled data for subspace selection, semi-supervised MHMD (SSMHMD) is proposed using graph Laplacian as normalization. Quasi-Newton method is adopted to solve the optimization problem. Experiments on synthetic data and real image data show the validity of SSMHMD.

关键词： Harmonic analysis Training Laplace equations Manifolds Covariance matrix Machine learning Symmetric matrices

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