QoS Ontology Research Articles

Dynamic Service Composition in Semantic Internet of Things Based on QoS

There are some problems in the semantic internet of things, such as the limited resources of atomic services provided by physical devices and the dynamic changes of their environment. Based on this, this paper proposes a dynamic service composition method based on QoS in the semantic Internet of things. According to the QoS ontology of adding context, this method dynamically annotates the services in the semantic Internet of things, and dynamically selects and combines the service set to be selected. It can dynamically provide accurate services for service requesters according to service objects and service environment.

Efficient Hybrid Research for QoS-Aware Microservice Composition

Recent advances in the E-business enable the evolution of software development paradigms. MSA is emerging as an alternative approach to SOA and claiming to resolve various challenges in the software development mechanism. Microservices can be implemented as an independent module for software development. In the growing business era, the user requirement is complex and dynamic. User dynamic requirement is a challenge and cannot be completed by a single microservice hence there is a need of service composition in order to fulfill user dynamic business-related queries. For the appropriate service selection, QoS ontology semantic annotation is performed. There are two service composition methods are available i.e. orchestration and choreography. In this paper, we proposed an effective and efficient hybrid approach for the service composition.

A Dynamic Services Discovery Model for Better Leveraging BPM and SOA Integration

This work addresses the problem of BPM-SOA integration using the services discovery activity as the main driver for that. The developed model is able to select the most adequate (web) services for given business transactions that are modeled at BPM level, regarding their business' contexts and QoS restrictions. It considers an inter-organization scenario, where services are published and made available by disparate providers over largely distributed and heterogeneous repositories, which can also be accessed under the SaaS model. Key elements of the model include a business processes catalog and an ontology based on the UBL open standard, and a QoS ontology. The implemented framework strongly relies on open ICT standards at all tackled levels, facilitating interoperability and the integration of services discovery environment in wider enterprise architecture projects. A software prototype has been implemented and results are described at the end. In spite of a set of assumptions, it was realized that a focus on the dynamic services discovery activity can be a feasible approach for better levering BPM-SOA integration, providing a more flexible basis for enterprises when executing their daily business transactions.

A Novel QoS-Based Framework for Cloud Computing Service Provider Selection

Cloud Computing is a promising computing paradigm that provides flexible, Internet-accessible resources allocation on demand on a pay-as-you-go basis. With the growth and expansion of Cloud services and participation of various services providers, the description of quality parameters and measurement units started to diverse and sometimes contradict. Such ambiguity does not only result in the raise of various QoS interoperability problems, but also in the distraction of the services consumers who find themselves unable to match their quality requirements with the providers' offerings. Influenced by such diversity, the available QoS models are limited to either cost-benefit analysis or performance evaluation, without being able to cover a comprehensive set of well-defined quality aspects. In this paper, we provide a complete framework for such problem. We firstly propose a novel QoS ontology that combine and define all of the existing quality aspects in a unified way to efficiently overcome all existing diversity. Using such ontology, we propose a comprehensive broad QoS model combining all quality parameters of both service providers and consumers for different Cloud platforms. We then propose a mathematical model addressing the Cloud Computing service provider selection optimization problem based on QoS-guarantee. The proposed model reports an efficient matching with the market-oriented different platforms characteristics; validated through extensive simulation studies conducted on benchmark data of Content Delivery Network providers.

Web Service QoS Matching Research Based on Ontology

In this article,take into account QoS characteristics comprehensively and build a reliable QoS ontology model. Based on the model,Web service QoS matching will be divided into three stages.Firstly,make a estimation of semantic comparability between QoS parameters of candidate services meeting the functional requirements and the QoS parameters of requirements in QoSIndependent ontology,find candidate services meeting users needs; Then,according to the critical QoS parameters between adjacent services constraints to further refine the matching between the candidate services;Finally choose the maximum service QoS value meeting the user requests in specific areas. So as to improve the efficiency and accuracy of service matching.

A Web Service QoS Predicting Algorithm based on QoS Ontology and BP Neutral Networks

A Web Service QoS Predicting Algorithm based on QoS Ontology and BP Neutral Networks

A QOS Ontology-Based Component Selection

In the component-based software development, the selection step is very important. It consists of searching and selecting appropriate software components from a set of candidate components in order to satisfy the developer-specific requirements. In the selection process, both functional and non-functional requirements are generally considered. In this paper, we focus only on the QoS, a subset of non-functional characteristics, in order to determine the best components for selection. The component selection based on the QoS is a hard task due to the QoS descriptions heterogeneity. Thus, we propose a QoS ontology which provides a formal, a common and an explicit description of the software components QoS. We use this ontology in order to semantically select relevant components based on the QoS specified by the developer. Our selection process is performed in two steps: (1) a QoS matching process that uses the relations between QoS concepts to pre-select candidate components. Each candidate component is matched against the developer's request and (2) a component ranking process that uses the QoS values to determine the best components for selection from the pre-selected components. The algorithms of QoS matching and component ranking are then presented and experimented in the domain of multimedia components.

Semantic Service Discovery Based on QoS Ontology

QoS is essential for selecting an appropriate service from a set of services that match user’s functionality requirements. To enable this, a QoS Ontology for semantic service discovery, which provide the uniform model for QoS, is proposed in this article. With this ontology, the algorithms for QoS matchmaking and service ranking are presented. And an expanded service discovery framework is also presented.

Web Services Selection Based on Mixed Context and Quality of Service Ontology

Intensive efforts are made in the Web services selection literature by these days mainly because of the overwhelming interest of the community in the services provided over the Web. In selecting best services, the non functional properties of such services are proven to be more and more important; these describe the Quality of service that is the key factor in the selection process.In this paper, we discuss a Web service selection based on both the context and the QoS ontology. We propose an architecture that makes an automatic selection of best service provider that is based on mixed context and QoS ontology for a given set of parameters of QoS. The key idea is to rely on multi dimensional QoS. Finally, some experiments are run so to demonstrate consistency and effectiveness of the proposed method.

Fuzzy Multi-Attribute Decision Making-Based Algorithm for Semantic Web Service Composition

Choosing the global optimal execution plan is an important process in the semantic Web service composition. The plan selection based on QoS is still challenging because the heterogeneous QoS values make data aggregation and decision making hard. This paper presents a novel Fuzzy Multi-attribute decision making-based semantic Web service Composition algorithm (FuMuCom) to solve the above difficulties for the first time. FuMuCom takes all possible QoS expression types (real number, interval and linguistic expression) into consideration. It includes three main steps: defuzzifying linguistic data, normalizing the decision matrix and evaluating alternatives synthetically. Other contributions of the paper include an extensible QoS ontology to express the heterogeneous QoS values, an ontology evolution strategy for aggregating QoS and a set of experiments that demonstrate the benefits and effectiveness of our approach.

A new QoS ontology and its QoS-based ranking algorithm for Web services

Web service composition is a promising solution for building distributed applications on the Internet in which Web service discovery is a key step. With a number of Web services having similar functionality, it is necessary to rank those services to select the best Web services for a request. QoS information which can reflect user’s expectation and experience of using a service is often used as a distinguish factor in a service ranking algorithm. Different service providers and participants may use different QoS concepts for describing service quality information. Therefore, it leads to the issue of semantic interoperability of QoS. In this paper, we propose a novel approach for designing and developing a QoS ontology and its QoS-based ranking algorithm for evaluating Web services. The QoS ontology can support not only describing QoS information in great detail but also facilitating various service participants expressing their QoS offers and demands at different levels of expectation. The QoS-based ranking algorithm adopted Analytic Hierarchy Process (AHP), a multiple criteria decision making technique, as an underlying mechanism for developing a flexible and dynamic ranking algorithm. The proposed QoS ontology and ranking algorithm can be used in various applications in order to facilitate automatic and dynamic discovery and selection of Web services.

MOQ: Web services ontologies for QoS and general quality evaluations

When describing web services, one of the obvious aspects that need representing is 'Quality of Service' (QoS), the capability of a web service to meet an acceptable level of service as per factors such as availability and accessibility. However, too much of a focus on developing functional QoS ontologies has led to an over-emphasis on representing solely QoS metrics and units of measurement. For instance, what does round trip time actually mean? Is the round trip time of every data item measured? Is it an average, or is every nth item measured? Is it the actual measure that is important or just the percentage of items that are beyond a certain range? Arguably existing QoS ontologies cannot readily answer many of these design questions because these questions have less to do with evaluating QoS and more to do with representing 'what is quality?' Therefore, there is an unmet need for web services ontologies that are designed at a higher level encompassing domain independent concepts, and generally applicable beyond QoS evaluations. The MOQ set of ontologies, designed from the premise that quality is 'conformance to requirements', aims to fill this need. Comprised of ontologies of requirement, measurement, traceability, and quality management systems, MOQ can be extended to encompass QoS metrics and measurement units or be designed to interoperate with existing QoS ontology. The use of MOQ minimises the ambiguity in QoS evaluations.

A framework and ontology for dynamic Web services selection

Current Web services standards lack the means for expressing a service's nonfunctional attributes - namely, its quality of service. QoS can be objective (encompassing reliability, availability, and request-to-response time) or subjective (focusing on user experience). QoS attributes are key to dynamically selecting the services that best meet user needs. This article addresses dynamic service selection via an agent framework coupled with a QoS ontology. With this approach, participants can collaborate to determine each other's service quality and trustworthiness.