Papers by Keyword: Service Composition

Abstract: This paper introduces the ontology as the basic description of the domain feature model and defines the description methods of static semantics and behavior protocols. On this basis, it proposes the Architectural Pattern based on the feature model and searching and matching methods of the Design Pattern. Variable point information on the domain feature model could guide the specific application-oriented architecture to cutting and customization so as to lay a solid foundation for the establishment of trace relationships and the system evolution management based on feature tracking.

Abstract: How to select different independent cloud service to compose an optimization service to satisfy user’s QoS requirement is a challenge problem. A QoS oriented particle swarm optimization algorithm is proposed in this paper, which considers multiple QoS parameters in the process of service composition.

Abstract: At present, a single Web service provide function is very limited, which can't meet the real life complex application requirements, so need to combination the single Web service. This paper presents a model of semantic Web service composition based on QoS, non-functional attributes to quantify its service performance, makes service quality protocols can be set up between service providers and services requester, meet the quality of service of the service requester personalized needs.

Abstract: Service composition based on template is a semi-automatic composition mechanism. It synthesizes delaying service binding and template-reusing to deal with the dynamicity of environment and increase the efficiency of service composition. A novel framework for service composition based on template is proposed in this paper for managing the templates and template instances. The framework is center with service community. Furthermore, to reuse the template instance, the framework includes a mechanism for managing template instance repository.

Abstract: In order to improve the efficiency of service discovery and service composition, this paper proposes a Composition oriented Web services semantic relationships mining framework. Firstly, Web services need to be pretreated, which are filtered based on QoS; and then adopt the method of service functional clustering to generate service classes, which largely reduces the services search space and improve the efficiency of service discovery; Secondly, in order to excavate the semantic relationships between service classes that meet the business logic requirement, we need to set the composition rules between service classes; Finally, using two stages of mining algorithms to excavate the semantic relationships between service classes. Experimental results are given to validate the feasibility and validity of our framework.

Abstract: Cloud computing has attracted much interest recently from both industry and academic. More and more Internet applications are moving to the cloud environment. This paper proposes an aspect oriented method to model and analyze self-recovery of cloud application according to its characteristics. Petri nets are used as the formal description language for cloud application, and use it to describe its basic elements, such as, cloud module, resource service, physical machine, virtual machine, etc. Aspect oriented programming method is used to extract self-recovery process as the core and crosscutting concerns. On this basis, the self-recovery approach is presented, the related theories and tools of Petri nets are used to verify the correctness of proposed method. Experiments show that the proposed solutions have better performance in supporting the self-healing Web service composition.

Abstract: In the service-oriented environment, the composition of multiple web services is always used to satisfy the given request. To meet the request, the compositions of the services are various. Aim at such difficulty, described with the environment ontology, the relative theory of Petri net is proposed to build up the service composition requirement model. After simplify the model, an algorithm of building a reachability tree is proposed. Then all the possible service compositions are got through an algorithm similar as depth-first search. At last, we use the classic example of travel arrangement to verify the theory above all.

Abstract: With the development of manufacturing globalization, cloud manufacturing is becoming a hotspot of network manufacturing. In cloud manufacturing, how to response to users services demands fast and accurately is an important indicator to evaluate the performance of this system. To achieve a cloud manufacturing platform for industry manufacturing system, this paper proposes service-oriented platform architecture based on semantic. Also, to realize the manufacturing resource data virtualization, the semantic description of manufacturing cloud and the combined manufacturing ontology is established. To fulfill the requirements of providing the fit cloud service or service combination, a cloud manufacturing service discovery model is investigated on focus, the organic decomposition and combination of manufacturing cloud is completed by ontology reasoning, and intelligent search and automatic matching of manufacturing cloud is realized.

Abstract: A new model is proposed based on logic Petri nets for web service clusters. The service parameters of a cluster are unified and logical expressions are introduced to represent the indeterminacy of service clusters. A service cluster can be used as an integrated unit and parameter matching can be decided based on semantic similarity and logical inference in a service cluster. Some algorithms of web service discovery and composition are given based on logic Petri nets, and the redundant services are removed from service compositions by a backward method. The availability and efficiency of the proposed approach are illustrated by the experiments with large repositories of different sizes.

Abstract: Intelligent resource includes the knowledge, hardware and software resources even workflow and human resource, etc. From the point of view of enterprise information management, the service composition is an essential element for companies’ informatization construction. Therefore, the paper describes a web service composition framework for semantically-annotated web service. Based on the state of art ontology technology, an OWL-S process model for the CAM software is established to describe resource service. Then a service discovery process which mainly consists of services’ property matching algorithm for words is set up. A backward chaining framework for service composition is employed to dynamically compose resource services finally.