Service Oriented Computing and Applications

Publisher: Springer Verlag

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    SpringerLink
  • ISSN
    1863-2386
  • OCLC
    314016720
  • Material type
    Document, Periodical
  • Document type
    Journal / Magazine / Newspaper, Computer File

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Springer Verlag

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Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: One of the major challenges for the adoption of the service-oriented architecture (SOA) is the service identification phase that aims to determine which services are appropriate to be implemented. In the last decade, several service identification methods (SIMs) were proposed. However, the service identification phase still remains a challenge to organizations due to the lack of systematic methods and comprehensive approaches that support the examination of the businesses from multiple perspectives and consider service quality attributes. This work aims to provide an overview of existing SIMs by detailing which service’s perspectives, stated as relevant by the industry, are addressed by the SIMs and also by synthesizing the identification techniques used by them. We have performed a systematic survey over publications about SIMs from 2002 to June 2013, and 105 studies were selected. A detailed investigation on the analyzed SIMs revealed that the identification techniques applied by them have a correlation on how they address many of the service’s perspectives. In addition, they are supporting the SOA adoption by handling many perspectives of the OASIS’ reference architecture for SOA. However, most of them do not explicitly address service quality attributes and few studies support the evaluation of both. Therefore, future research should follow the direction toward hybrid methods with mechanisms to elicit business and service’s quality attributes.
    Service Oriented Computing and Applications 09/2014; 8(3).
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    ABSTRACT: This paper introduces novel web service (WS) accessibility assessment techniques through a unified Quality of Services (QoS) context. The goal is to enable future QoS-aware service selection systems to select and provide accessible web services, ones that are properly designed so as to allow their consumption from end-user applications, used from people with disabilities. In this line, a WS accessibility assessment Framework (WSaaF) has been developed, on the basis of WS accessibility guidelines, dealing with accessibility issues that can appear both on the presentation level of content delivered through WSs and on the content level itself. The WSaaF and its guidelines follow the rationale behind W3C WCAG 2.0-based accessibility standardization of web content. It provides the basis toward building future accessible WSs, a task that can be further facilitated by the use of an appropriate Tool (WSaaT), developed with the aim to provide automatic assessment of services, against guidelines of the proposed framework. Then, the WS accessibility attribute is introduced, as a metric that can be used in conjunction to ones typically utilized so far, within QoS-aware service selection systems. As a result, a novel unified QoS framework is proposed, incorporating the notion of accessibility in the service selection process. The proposed unified QoS framework can eventually lead to the provision of services, which are selected from appropriate repositories and better suit the special needs of people with disabilities.
    Service Oriented Computing and Applications 06/2014;
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    ABSTRACT: New business models are set up, thanks to Web technologies. In this work, we focus on services intermediary companies. They generate value through the (automatic) selection of third-party services and the (automatic) delivery of the combinations of these services to consumers. Such companies face the problem of deciding which services to select and deliver in order to maximize their profit. The two main paper objectives are (i) to design the generic business model of services intermediaries and (ii) to propose an optimization model. The latter enables to choose the consumer requirements that will be satisfied in order to maximize profit. This model ranks implementable solutions based on various financial aspects. They are related to cost and revenue information that is associated with the requirements. It can support the decision-making process that aims at selecting a profit-maximizing set of requirements for services intermediaries’ system-to-be. Indeed, the proposed model solves the conflicts between requirements and prioritizes the optional requirements. We argue for the relevance of the optimization model via an example and simulations.
    Service Oriented Computing and Applications 06/2014; 8(2).
  • [Show abstract] [Hide abstract]
    ABSTRACT: Traditional service selection schemes require users to define a utility function by assigning weights to each quality-of-service (QoS) metric. To relieve users from the professional knowledge, skyline techniques have been studied recently by several researchers. However, the size of skyline services is sometimes not easy controlled due to intrinsic attributes of services. Additionally, we observe that most QoS metrics may fluctuate during run-time. Considering such uncertainty and dynamics, in this paper, we propose to obtain probabilistic top-k dominating services with uncertain QoS. Different from previous works, our approach employs the probabilistic characteristic of service instances and calculates the dominating abilities of services so as to achieve an accurate selection. Experimental results have shown the feasibility and effectiveness of our approach.
    Service Oriented Computing and Applications 01/2014;
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    ABSTRACT: As organizations operate under a highly dynamic business world, they can only survive by optimizing their business processes (BPs) and outsourcing complementary functionality to their core business. To this end, they adopt service-orientation as the underlying mechanism enabling BP optimization and evolution. BPs are now seen as business services (BSs) that span organization boundaries and ought to satisfy cross-organizational objectives. As such, various BS design approaches have been proposed. However, these approaches cannot re-use existing business and software services (SSs) to realize the required BS functionality. Moreover, non-functional requirements and their impact on BS design are not considered. This research gap is covered by a novel, goal-oriented method able to discover those BS and SS compositions fulfilling the required BS functional and non-functional goals at both the business and IT level. This method coherently integrates the design steps involved and properly handles the lack of required BS components. It also advances the state-of-the-art in service composition by being able to both select the best composition plan and the best services realizing the plan tasks based on novel plan and service selection criteria.
    Service Oriented Computing and Applications 12/2013;
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    ABSTRACT: In the service-oriented computing paradigm, cross-organizational applications and information systems can be built upon services from different providers. Services are subject to changes required by the organizational and regulatory policies changes. The challenging problem of service change management has been studied actively in recent years. This paper provides an extensive overview of the current research on change management in the context of service-oriented computing. First, we classify service changes into three major types as interface, behavioral, and non-functional changes. Then, we review the existing work on change management from the four broad categories: Service Adaptation, Process Flexibility, Service Evolution, and Change Analysis and Management in Service Compositions. In each category, we discuss the focusing changes, the proposed approaches to dealing with the change problems, and the change issues that remain to be solved.
    Service Oriented Computing and Applications 12/2013;
  • [Show abstract] [Hide abstract]
    ABSTRACT: Facilitating compliance management, that is, assisting a company’s management in conforming to laws, regulations, standards, contracts, and policies, is a hot but non-trivial task. The service-oriented architecture (SOA) has evolved traditional, manual business practices into modern, service-based IT practices that ease part of the problem: the systematic definition and execution of business processes. This, in turn, facilitates the online monitoring of system behaviors and the enforcement of allowed behaviors—all ingredients that can be used to assist compliance management on the fly during process execution. In this paper, instead of focusing on monitoring and runtime enforcement of rules or constraints, we strive for an alternative approach to compliance management in SOAs that aims at assessing and improving compliance. We propose two ingredients: (i) a model and tool to design compliant service-based processes and to instrument them in order to generate evidence of how they are executed and (ii) a reporting and analysis suite to create awareness of a company’s compliance state and to enable understanding why and where compliance violations have occurred. Together, these ingredients result in an approach that is close to how the real stakeholders—compliance experts and auditors—actually assess the state of compliance in practice and that is less intrusive than enforcing compliance.
    Service Oriented Computing and Applications 12/2013;
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    ABSTRACT: Web service orchestration represents an open and standards-based approach for connecting web services together leading to higher level of business processes. Business Process Execution Language (BPEL) engines are designed to handle this orchestration. However, web service compositions into BPEL suffer from several non-functional requirements such as security. To address this problem, we propose in this paper a novel approach that is based on a harmony between the licensing concept offered by eXtensible rights Markup Language (XrML), aspect-oriented programming (AOP), and web service compositions in BPEL. Our proposed approach, based on XrML, offers the ability to associate security licenses with activities offered by the composite web services. It allows to automatically generate BPEL aspects depending on the developed licenses, to separate between crosscutting concerns of the composed web services, and provides an easy way to include and update the non-functional requirements (e.g., security) into a BPEL process. It offers also the ability to validate the licenses, at runtime and without affecting the business logic of this model. To evaluate our approach, we have developed an inventory control system (ICS) sample that is composed of several web services. Case study and performance analysis are presented to demonstrate its feasibility as well.
    Service Oriented Computing and Applications 11/2013;
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    ABSTRACT: In this study, an analysis was conducted for the relationships between the main components of customer relationship management (CRM) and customer complaints in the domain of logistics and transport. Today, complaints and the handling of complaints play a pivotal role in customer relationships. Moreover, companies are reluctant to admit that they have difficulties with customers’ complaints, but as yet there appears to be no complete solution to this issue. To remedy this situation, customer complaints must be comprehensively collected and analysed. Issues must be classified, and timely solutions must be developed. In this paper, a conceptual framework is proposed including mathematical models, hypothesised relationships, perceived value and interactivity between customer, business and the system, as well as customer satisfaction analytics. The framework will address the relationship between customer satisfaction issues, loyalty and customer acquisition and estimate customer satisfaction and loyalty. For the purpose of analysis, this study uses both qualitative and quantitative approaches. For data collection, a survey questionnaire was distributed to 60 Fremantle Port logistics and transport customers. For the quantitative approach, linear and nonlinear modelling is adopted. Using the model, we are able to address the shortcomings of CRM technology, and tackle the issues of loyalty improvement and customer acquisition. Finally, based on nonlinear modelling and using a fuzzy inference system, namely the Takagi–Sugeno-type approach, we defined fuzzy rules, by means of which we ascertain the relationship between customer satisfaction and the main relevant variables.
    Service Oriented Computing and Applications 10/2013;
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    ABSTRACT: Semantic web services (SWS) technology is developed to overcome the shortcomings of traditional standards, such as WSDL and UDDI, and enable maximal automation in all aspects of web service. But great improvement of capability in SWS-based service discovery is still desired. To address this issue, we present a distributed and semantic-matching-based approach for SWS publication and discovery by leveraging structured P2P technology. In this paper, first, we present our service matching rule which focuses on the inputs and outputs of SWS. Then, to realize this rule in open distributed environment and achieve the optimal match between a query and its qualified services, we propose not only a concept of ordered-concept-tree (OCT) to semantically sort the relevant concepts for service matching, but also a method to publish ontologies on structured P2P network to freely share and make full use of the concepts defined in different ontologies for OCT construction. Finally, we present a method for SWS publication on P2P network and an algorithm for service discovery. We also conduct experiments to evaluate our approach and the experimental results demonstrate its scalability, effectiveness, and callback capability to discover semantic web services.
    Service Oriented Computing and Applications 09/2013;
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    ABSTRACT: In most of quality of service (QoS)-based web service selection systems, inexperienced end users are not the focal point of the design. Most systems assume that users could formulate their QoS requirements easily and are accurately using the provided query languages. However, oftentimes it is not true. To tackle this issue and emphasize more on the user-centered design of the service selection system, in this paper, we come up with a more expressive and flexible way for non-expert users to define their QoS queries, together with the user support on formulating queries and understanding services in the registry. Then, we propose an enhanced selection model that could handle both exact and fuzzy requirements, return two categories of matching offers—super-exact and partial matches, and rank them using a two-level ranking algorithm. A prototype system is implemented, and experiments are done using a real QoS dataset to show the system performance.
    Service Oriented Computing and Applications 06/2013; 7(2).
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    ABSTRACT: Situational data integration is often ad hoc, involves active participation of business users, and requires just-in-time treatment. Agility and end-user programming are of importance. The paper presents a spreadsheet-like programming environment called Mashroom, which offers required agility and expressive power to support situational data integration by non-professional users. In Mashroom, various data sources are encapsulated as data services with nested tables as their unified data model both for internal processing and for external uses. Users can operate on the nested tables interactively. Mashroom also supports the basic control flow patterns. The expressive power of Mashroom is analyzed and proved to be richer than N1NF relational algebra. All the XQuery expressions can be mapped to Mashroom operations and formulas. Experiments have revealed the potentials of Mashroom in situational data integration.
    Service Oriented Computing and Applications 06/2013; 7(2).
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    ABSTRACT: Mobile devices are equipped with increasing processing power and sensing capabilities, and mobile services can benefit from these features to provide a more personalized and context-aware experience to final users. To efficiently collect and deliver context information, a proper architecture is required, where heterogeneous context information can be processed to provide higher-level context information, context data are represented uniformly, and applications can process context data with high-level queries. This paper fulfils this goal of interoperability and domain independence by defining a framework for context data management relying on open standards (XMPP and REST), acting as an enabler for third-party context-aware applications; other main novelties of our work are the definition of a ContextML for standard context data representation, and a Context Query Language (CQL) to access context information based on high-level data filtering.
    Service Oriented Computing and Applications 06/2013; 7(2).
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    ABSTRACT: The resources’ heterogeneity and unbalanced capability, together with the diversity of resource requirements in cloud computing systems, have produced great contradictions between resources’ tight coupling characteristics and user’s multi-granularities requirements. We propose a resource virtualization model and its on-demand allocation oriented infrastructure mainly providing computing services to solve that problem. A loosely coupled resource environment centered on resource users is created to complete a mapping from physical view of resources to logic view of resources. Heuristic resource combination algorithm (HRCA) is proposed to transform physical resources to logic resources, which meets two requirements: randomness in combination and fluctuation control to the size of resources granularities. On the basis of the appraisal indexes presented for the on-demand allocation, resource matching algorithm (RMA), targeting at resource satisfaction with the highest resource utilization, is designed to reuse resources. RMA can satisfy users’ requirement in limited time and keep resource satisfaction in the highest level in the condition of logic resources granularities being less than their required size. Resource reconfiguration algorithm (RRA) is presented to implement resource matching in the condition that virtual computing resource pool cannot match granularities of resource requirements. RRA assures the lowest resource refusal rate and the greatest resource satisfaction. We verify the effectiveness, performance and accuracy of algorithms in implementing the goal of resource virtualization centered on resource users and on-demand allocation.
    Service Oriented Computing and Applications 06/2013; 7(2).
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    ABSTRACT: This paper addresses the problem of resource reservation for applications using the real-time service-oriented architecture paradigm. Real-time services must be completed by their deadlines. They can be scheduled anywhere within an execution interval. Some services have a large execution interval which gives them more flexibility during admission control. However, the conventional approach for real-time process scheduling is to reserve a fixed schedule on the first come, first served basis and thus does not take advantage of this flexibility. In this paper, a reorganization algorithm is presented to relocate existing reservations in order to accommodate new requests that have less flexibility. For service process reservations, intermediate deadlines may also be adjusted to further increase the flexibility of service reservations. Simulation results show that reorganization can greatly enhance the acceptance ratio of real-time requests in most situations.
    Service Oriented Computing and Applications 03/2013; 7(1).
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    ABSTRACT: This paper addresses the problem of resource reservation for applications using the real-time service-oriented architecture paradigm. Real-time services must be completed by their deadlines. They can be scheduled anywhere within an execution interval. ...
    Service Oriented Computing and Applications 03/2013; 7(1).
  • [Show abstract] [Hide abstract]
    ABSTRACT: Organizations today are required to adhere to a number of compliance concerns from laws, regulations and policies. Compliance is achieved through defining and implementing so-called controls in the organizations’ business processes. Organizations that build their systems based on the process-driven SOA paradigm realize business processes through orchestration of services to handle the process’ business activities. These business activities or groups of business activities in some cases realize the compliance controls. We propose an approach for implementing event-based compliance monitoring infrastructure that observes such business processes to verify that compliance is indeed adhered to. Our approach is essentially a model-driven technique for realizing this infrastructure. We implement a domain-specific language for specification of compliance directives, and we include code generation templates to generate compliance monitoring code, which is leveraged by complex event processing components to monitor for compliance. We evaluate the impact of our approach on the effort and productivity of a developer who is specifying compliance directives.
    Service Oriented Computing and Applications 03/2013; 7(1).
  • [Show abstract] [Hide abstract]
    ABSTRACT: Service consumers satisfaction is considered today as one of the main concern to be ensured by service providers, especially with the spread of concurrency and the increase of functionally equivalent services. This satisfaction is closely related to quality of service (QoS) perceived by service consumers. In this context, we propose an approach to determine the satisfaction degree corresponding to the QoS of service-based applications, with regard to service consumers’ QoS expectations. Our approach is based on a preference model, which is built only on the basis of service consumer’s provided information. This preference model is also based on the 2-additive Choquet operator that takes into account preferential dependencies. In this paper, we target both design time and runtime aggregation of QoS of service-based applications.
    Service Oriented Computing and Applications 03/2013; 7(1).
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    ABSTRACT: Unemployment rate prediction has become critically significant, because it can help government to make decision and design policies. In previous studies, traditional univariate time series models and econometric methods for unemployment rate prediction have attracted much attention from governments, organizations, research institutes, and scholars. Recently, novel methods using search engine query data were proposed to forecast unemployment rate. In this paper, a data mining framework using search engine query data for unemployment rate prediction is presented. Under the framework, a set of data mining tools including neural networks (NNs) and support vector regressions (SVRs) is developed to forecast unemployment trend. In the proposed method, search engine query data related to employment activities is firstly extracted. Secondly, feature selection model is suggested to reduce the dimension of the query data. Thirdly, various NNs and SVRs are employed to model the relationship between unemployment rate data and query data, and genetic algorithm is used to optimize the parameters and refine the features simultaneously. Fourthly, an appropriate data mining method is selected as the selective predictor by using the cross-validation method. Finally, the selective predictor with the best feature subset and proper parameters is used to forecast unemployment trend. The empirical results show that the proposed framework clearly outperforms the traditional forecasting approaches, and support vector regression with radical basis function (RBF) kernel is dominant for the unemployment rate prediction. These findings imply that the data mining framework is efficient for unemployment rate prediction, and it can strengthen government’s quick responses and service capability.
    Service Oriented Computing and Applications 03/2013; 7(1).