A context-based service matching approach towards functional reliability for industrial systems

ABSTRACT

As service-oriented computing is commonly used in industrial systems to deal with the continually changing business environment, matching processes with existing services becomes one of the most important phases in constructing, integrating and optimizing information systems. The precision of semantic service matching becomes a critical factor in ensuring the correctness of functionalities in system processes. However, the dependability of semantic service matching cannot be warranted in complex contexts. To improve semantic service matching for industrial systems, a context-based semantic service matching approach named ‘Process-Based service MatchMaker’(PBMM) is proposed in this paper. It selects the suitable services for the process from candidate services through taking the dependencies of related services process into consideration.     

An intelligent service matching method for mechanical equipment condition monitoring using the fibre Bragg grating sensor network

Due to the advantages of being able to function under harsh environmental conditions and serving as a distributed condition information source in a networked monitoring system, the fibre Bragg grating (FBG) sensor network has attracted considerable attention for equipment online condition monitoring. To provide an overall conditional view of the mechanical equipment operation, a networked service-oriented condition monitoring framework based on FBG sensing is proposed, together with an intelligent matching method for supporting monitoring service management. In the novel framework, three classes of progressive service matching approaches, including service-chain knowledge database service matching, multi-objective constrained service matching and workflow-driven human-interactive service matching, are developed and integrated with an enhanced particle swarm optimisation (PSO) algorithm as well as a workflow-driven mechanism. Moreover, the manufacturing domain ontology, FBG sensor network structure and monitoring object are considered to facilitate the automatic matching of condition monitoring services to overcome the limitations of traditional service processing methods. The experimental results demonstrate that FBG monitoring services can be selected intelligently, and the developed condition monitoring system can be re-built rapidly as new equipment joins the framework. The effectiveness of the service matching method is also verified by implementing a prototype system together with its performance analysis.     

A method towards Web service combination for cross-organisational business process using QoS and cluster

How to quickly combine various Web services to support cross-organisational business processes is the key technical problem in service computing. Because of the changeability of QoS of Web services, the traditional methods are unadaptable to the new environments. In this paper, a new service composition method, called Improved Self-organising neural network Method for Web Service Composition, is proposed to achieve QoS-aware Web service combination, according to using the clustering technology. First, fuzzy mathematics is used to express each QoS attribute and the improved self-organising neural network is used to cluster services to reduce the number of candidate services. Secondly, all the centre of each cluster is selected and formed a composite service by using an exhaustive algorithm. Thirdly, the service cluster that is represented by the concrete services. Finally, the optimal service combination can be selected using integer programming or genetic algorithm. The experimental result shows the efficiency of Web service composition and demonstrates the applicability.     

A PageRank-based reputation model for personalised manufacturing service recommendation

The number of manufacturing services for cross-enterprise business collaborations is increasing rapidly because of the explosive growth of Web service technologies. This trend demands intelligent and robust models to address information overload in order to enable efficient discovery of manufacturing services. In this paper, we present a personalised manufacturing service recommendation approach, which combines a PageRank-based reputation model and a collaborative filtering technique in a unified framework for recommending the right manufacturing services to an active service user for supply chain deployment. The novel aspect of this research is adapting the PageRank algorithm to a network of service-oriented multi-echelon supply chain in order to determine both user reputation and service reputation. In addition, it explores the use of these methods in alleviating data sparsity and cold start problems that hinder traditional collaborative filtering techniques. A case study is conducted to validate the practicality and effectiveness of the proposed approach in recommending the right manufacturing services to active service users.     

Reusing process fragments for fast service composition: a clustering-based approach

With the proliferation of Web services over the Internet and due to the increasing complexity of users’ needs, Web service composition has emerged as a powerful method of software reuse, allowing to deliver complete business processes as a set of interacting services. To guarantee a rapid and secure service composition, fragments of available business processes at different granularities may be considered as a composition unit and recombined to deliver effective compositions. Despite the benefits of this method, most of the existing works do not take into consideration the reuse of service process fragments (SPF). Reusing SPFs allows, not only to minimize the composition time, but also to improve the reliability of the composition process. In this paper, we propose a Web service composition approach that aims to combine service process fragments rather that atomic services. We adopt a powerful mathematical model called Formal Concept Analysis (FCA) to define the relationships between services and fragments. Moreover, we exploit the regrouping capabilities of FCA by proposing algorithms for the extraction of candidate fragments’ combinations. A scoring function is also defined to determine the quality level of each SPF and its ability to participate in a composition. The experimental studies proved the effectiveness of our FCA-based approach compared to existing state-of-the-art solutions.     

An agent-based peer-to-peer architecture for semantic discovery of manufacturing services across virtual enterprises

With the development of virtual enterprise (VE) paradigm, the usage of serviceoriented architecture (SOA) is increasingly being considered for facilitating the integration and utilisation of distributed manufacturing resources. However, due to the heterogeneous nature among VEs, the dynamic nature of a VE and the autonomous nature of each VE member, the lack of both sophisticated coordination mechanism in the popular centralised infrastructure and semantic expressivity in the existing SOA standards make the current centralised, syntactic service discovery method undesirable. This motivates the proposed agent-based peer-to-peer (P2P) architecture for semantic discovery of manufacturing services across VEs. Multi-agent technology provides autonomous and flexible problemsolving capabilities in dynamic and adaptive VE environments. Peer-to-peer overlay provides highly scalable coupling across decentralised VEs, each of which exhibiting as a peer composed of multiple agents dealing with manufacturing services. The proposed architecture utilises a novel, efficient, two-stage search strategy – semantic peer discovery and semantic service discovery – to handle the complex searches of manufacturing services across VEs through fast peer filtering. The operation and experimental evaluation of the prototype system are presented to validate the implementation of the proposed approach.     

基于直接信任关系表的Web服务资源访问机制

文章针对网格环境Web服务资源访问过程中,用户查找Web服务资源的快速性与有效性问题,以D-S证据理论为基础,提出了一种基于直接信任关系表的网络Web服务资源组织演化模型,每个节点只存储直接交互节点的信任关系,并基于此模型提出了一种基于信任BP神经网络判别隶属函数的Web服务资源信任查找机制。通过将中间节点判别隶属函数最高的节点作为资源的查找出发点,而中间节点又从自己的信任链路中查找信任度最高的节点,从而在加速服务查找速度的同时,达到提高查找服务成功率的目的。最后,经过大量模拟仿真实验结果表明:该算法较传统的基于穷尽搜索机制而言,不仅提高了查找的速度,而且显著地提高了查找的成功率。     

Automated web service composition supporting conditional branch structures

The creation of value-added services by automatic composition of existing ones is gaining a significant momentum as the potential silver bullet in service-oriented architecture. However, service composition faces two aspects of difficulties. First, users' needs present such characteristics as diversity, uncertainty and personalisation; second, the existing services run in a real-world environment that is highly complex and dynamically changing. These difficulties may cause the emergence of nondeterministic choices in the process of service composition, which has gone beyond what the existing automated service composition techniques can handle. According to most of the existing methods, the process model of composite service includes sequence constructs only. This article presents a method to introduce conditional branch structures into the process model of composite service when needed, in order to satisfy users' diverse and personalised needs and adapt to the dynamic changes of real-world environment. UML activity diagrams are used to represent dependencies in composite service. Two types of user preferences are considered in this article, which have been ignored by the previous work and a simple programming language style expression is adopted to describe them. Two different algorithms are presented to deal with different situations. A real-life case is provided to illustrate the proposed concepts and methods.     

A genetic algorithm based approach to transactional and QoS-aware service selection

As there are various risks of failure when Web services are deployed in unreliable environment, the execution of a composite Web service (CWS) requires the transaction mechanism to guarantee its reliable execution. However, the existing service selection approaches consider QoS and transaction separately and have not considered that transactional properties may affect the QoS such as the execution time of a CWS. This work addresses the importance of considering transactional properties and how the transactional properties affect the QoS simultaneously in the process of service selection by a QoS-aware and transactional-aware selection approach. First, a performance evaluation method is proposed to calculate the execution time of a transactional CWS. Then, a genetic algorithm based approach, which takes into account the execution time, price, transactional property and successful execution rate of CWS, is presented to achieve global optimisation service selection. Finally, experimental results show the efficiency and effectiveness of the approach.     

QoS-aware middleware for web services composition: a qualitative approach

Web services exhibit major industrial benefit by their ability to participate in composition processes. Web services composition allows for automated exchange of information among remote processes through the service interface. A well-established end-to-end QoS infrastructure among the involved processes precludes confusion among the developers, vendors and consumers. Most of the research work conducted in this domain has focused on functional QoS requirements such as service response time, delay, cost, etc. This paper elaborates the QoS of web services from the perspective of data freshness and accuracy. Towards this aim, the ‘Region Switching’ (RS) algorithm is introduced in this paper. Within the context of the multiple web services composition scenario, the RS-algorithm allows for accurate identification of the point of information change and the appropriate re-computation over the subset of the pre-established, global service execution plan. Thereafter, a mathematical model is presented to verify the need for re-computation based on certain estimated factors, computed thresholds, and the model design. Such a selective re-computation is worth considering since some services may take a significant amount of time to produce results where a slight change to the information set might not alter the outcome of the service. The proposed concept is implemented by utilising and extending the WS-Notification specification in order to elaborate a middleware that is capable of sensing and routing information change at the level of web services using the publish-subscribe mechanism. The contribution of this paper is threefold. First, it highlights the importance of qualifiable QoS aspect related to the issue of web services composition and monitoring. Second, it describes an algorithm capable of capturing and reflecting the state of web services involved in a composition process, thereby achieving higher QoS. Finally, the paper illustrates the use and extension of the WS-Notification concept in building such systems that would deliver up-to-date information to the user through selective re-computation of the web services composition plan.     

Measuring the impact of the approach to migration in the quality of web service interfaces

There is a good consensus on the strategic value of service-oriented architecture (SOA) as a way of structuring systems, and a common trend is to migrate legacy applications that use outdated technologies and architectures to SOA. We study the effects in the resulting Web Service interfaces of applying two traditional migration approaches combined with common ways of building services, namely, direct migration with code-first and indirect migration with contract-first. The migrated system was a 35-year-old COBOL system of a government agency that serves several millions of users. In addition, we provide a deep explanation of the trade-offs involved in following either combinations. Results confirm that the ‘fast and cheap’ approach to move into SOA, which is commonplace in the industry, may deliver poor service interfaces, and interface quality is also subject to the tools supporting the migration process.     

Modelling of combinable relationship-based composition service network and the theoretical proof of its scale-free characteristics

Existing works on service composition are primarily based on the requirements of service composition, such as describing language supporting service composition, service composition framework, mechanism and method for service composition, and service composition validation. Few works have been carried out from the perspective of combinable relationship among composite services and composition service network. This article emphasises on combinable relationship-based composition service network, i.e. CoRCS-Net. The principles for establishing and modelling CoRCS-Net were studied, and nine combinable relationships among services in CoRCS-Net were investigated and 14 elementary evolving operators for CoRCS-Net dynamic evolution were designed. According to the definition of scale-free network (SFN) and the investigations on its related research achievements, it is supposed that ‘CoRCS-Net is a scale-free network’ in this study. In order to prove the theoretical hypothesis, the concepts of combinable strength and variation of combinable strength were introduced, and combinable strength is used to describe the invoking times of a service being invoked for service composition. First we calculate the real time variation of combinable strength of an arbitrary service in CoRCS-Net, and then obtain the corresponding real time combinable strength and investigate its distribution for all services in CoRCS-Net. It is discovered that ‘like many nature and social phenomenon, CoRCS-Net is “scale-free”, and it is constructed by few “active services” and a great deal of “silent services”. In the process of service composition, the invoking times for majority services are very small, while only few services are invoked frequently, and the probability (or invoking times) for the services in a CoRCS-Net to be invoked for service composition decays as a power-law’.     

Analyzing the sustainability of a newly developed service: An activity theory perspective

New service development (NSD) is the process of creating new services to fulfill target customers' needs. It is essential that an NSD project team cooperate across organizational boundaries and various disciplines to achieve the sustainability goal of an NSD project. This study adopted Activity Theory to understand dynamics of complex service innovation system and model the actions taken by different entities in telehealth service projects, in which we identified important contradictions that affect the sustainability of newly developed services. Based on multiple case study findings, this research identified challenges for these new service development projects such as user needs identification, the involvement of emergent technology and collaboration between entities from different industries. This study contributes to the NSD research by proposing five propositions which could be used for guiding stakeholders to effectively manage NSD projects to offer sustainable newly developed services.     

Applications integration in a hybrid cloud computing environment: modelling and platform

With the development of application services providers and cloud computing, more and more small- and medium-sized business enterprises use software services and even infrastructure services provided by professional information service companies to replace all or part of their information systems (ISs). These information service companies provide applications, such as data storage, computing processes, document sharing and even management information system services as public resources to support the business process management of their customers. However, no cloud computing service vendor can satisfy the full functional IS requirements of an enterprise. As a result, enterprises often have to simultaneously use systems distributed in different clouds and their intra enterprise ISs. Thus, this article presents a framework to integrate applications deployed in public clouds and intra ISs. A run-time platform is developed and a cross-computing environment process modelling technique is also developed to improve the feasibility of ISs under hybrid cloud computing environments.     

第三方物流信息系统中基于agent的web服务组合研究

为解决第三方物流信息系统中web服务智能组合问题,对基于agent的web服务组合开展研究,提出基于agent的Web服务组合模型,设计服务组合的流程,分析基于agent的物流web服务组合关键问题。     

Strategy and process of value creation and appropriation in service clusters

Service-oriented networks and clusters of firms have increasingly become prevalent in recent decades. This new form of service clusters is different from the traditional industrial clusters in which the focus is primarily on costs, production, and channel distributions. We extend the research on service innovation, alliance networks, and industrial clusters to analyze the strategy and the process of value creation and appropriation in service clusters. Higher perceived customer value is created and delivered by a network of agglomerate firms dynamically engaged in value networking and service innovation. The proposed theoretical framework and innovation mechanism provide new insights for firms located in the service clusters to gain and sustain competitive advantages. It also offers a new perspective for policymakers to advance regional and global competitiveness.     

Toward an integrative approach to designing service experiences: Lessons learned from the theatre

A critical element in designing a new service and ultimately achieving customer delight and loyalty, particularly for competitive services where the customer–service provider interface is high, deals with the delivery of memorable personal experience. Since many such services rely on attributes of theatre-like performance, this research examines the process by which theatre plays are chosen, designed and developed with the objective of better understanding how performance excellence is realized. Theatre plays were chosen as a basis for study because of their long history of mastering the critical elements of performance staging and the reputation for opening on time at near peak performance levels. Using a case-based, qualitative research approach, the theatre play process is described, implications are extracted and a corresponding management process model is presented. Research and management implications for new service design and service delivery excellence are suggested.     

A service-based framework for pharmacogenomics data integration

Data are central to scientific research and practices. The advance of experiment methods and information retrieval technologies leads to explosive growth of scientific data and databases. However, due to the heterogeneous problems in data formats, structures and semantics, it is hard to integrate the diversified data that grow explosively and analyse them comprehensively. As more and more public databases are accessible through standard protocols like programmable interfaces and Web portals, Web-based data integration becomes a major trend to manage and synthesise data that are stored in distributed locations. Mashup, a Web 2.0 technique, presents a new way to compose content and software from multiple resources. The paper proposes a layered framework for integrating pharmacogenomics data in a service-oriented approach using the mashup technology. The framework separates the integration concerns from three perspectives including data, process and Web-based user interface. Each layer encapsulates the heterogeneous issues of one aspect. To facilitate the mapping and convergence of data, the ontology mechanism is introduced to provide consistent conceptual models across different databases and experiment platforms. To support user-interactive and iterative service orchestration, a context model is defined to capture information of users, tasks and services, which can be used for service selection and recommendation during a dynamic service composition process. A prototype system is implemented and cases studies are presented to illustrate the promising capabilities of the proposed approach.     

The impact of using kiosk on enterprise systems in service industry

The hospitality industry services many types of travellers. Each of them needs to be analysed differently in order to accurately determine their respective service quality attributes and customer delight. The effective and efficient enterprise information systems (EISs) play a significant role in traveller’s experience and in the competitive advantages that hotels can gain. For this study, self-service kiosks and guest service agents as part of hotel’s EISs are used to investigate the impact each has on the experience of business and leisure travellers. This study provides empirical results that further investigate how to improve the service quality for both types of travellers during the registration process. This process is the first physical interaction between the travellers and the hotel. Any problem in registering would generate a long-lasting negative first impression on the travellers, thus diminishing the customer delight. In the light of our findings, this study will contribute to the effective and efficient design of self-service kiosk systems, hotel’s EISs, and improved front office management to better accommodate the specific needs of both types of travellers.