Creating Value with Interactive Pricing Mechanisms — A Web Service-Oriented Architecture

2006 ◽  
Author(s):  
M. Bernhardt ◽  
O. Hinz
Keyword(s):  
Web Service ◽  
Service Oriented Architecture ◽  
Service Oriented ◽  
Interactive Pricing

Web Service Candidate Identification Using the Firefly Algorithm

2018 ◽  
Vol 15 (4) ◽  
pp. 45-60
Author(s):  
Negar Abbasi ◽  
Ali Moeini ◽  
Taghi Javdani Gandomani
Keyword(s):  
Web Service ◽  
Firefly Algorithm ◽  
Service Oriented Architecture ◽  
High Reliability ◽  
Legacy Software ◽  
Service Identification ◽  
Service Oriented ◽  
Automatic Methods ◽  
Reservation System ◽  
Candidate Identification

Identification of web service candidates in legacy software is a crucial process in the reengineering of legacy systems to service oriented architecture. Researchers have proposed various automatic and semi-automatic methods for this purpose, some of which have proved to be quite efficient, but there are still certain gaps which need to be addressed. This article discovers the strengths and weaknesses of previous methods and develops a method with improved service candidate identification performance. In this article, service identification is considered as a search and optimization problem and a firefly algorithm is developed accordingly to give high-quality solutions in reasonably short times. A filtering method is also developed to remove excess modules (false positives) from the algorithm outputs. A case study on a legacy flight reservation system demonstrates the high reliability of the outputs given by the proposed method.

PROCESS MODEL ONTOLOGY-BASED MATCHMAKING OF SEMANTIC WEB SERVICES

2011 ◽  
Vol 20 (04) ◽  
pp. 357-370 ◽  
Author(s):  
D. PAULRAJ ◽  
S. SWAMYNATHAN ◽  
M. MADHAIYAN
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Process Model ◽  
Service Discovery ◽  
Service Oriented Architecture ◽  
Semantic Web Services ◽  
Functional Part ◽  
Service Oriented ◽  
Concise Description

One of the key challenges of the Service Oriented Architecture is the discovery of relevant services for a given task. In Semantic Web Services, service discovery is generally achieved by using the service profile ontology of OWL-S. Profile of a service is a derived, concise description and not a functional part of the semantic web service. There is no schema present in the service profile to describe the input, output (IO), and the IOs in the service profile are not always annotated with ontology concepts, whereas the process model has such a schema to describe the IOs which are always annotated with ontology concepts. In this paper, we propose a complementary sophisticated matchmaking approach which uses the concrete process model ontology of OWL-S instead of the concise service profile ontology. Empirical analysis shows that high precision and recall can be achieved by using the process model-based service discovery.

Issues on the Compatibility of Web Service Contracts

2013 ◽  
pp. 154-188 ◽  
Author(s):  
Surya Nepal ◽  
John Zic
Keyword(s):  
Web Service ◽  
Service Composition ◽  
Large Scale ◽  
Service Oriented Architecture ◽  
Distributed Applications ◽  
Compatibility Conditions ◽  
Service Contract ◽  
Service Contracts ◽  
Service Oriented ◽  
Application Developers

In the Service Oriented Architecture (SOA) model, a service is characterized by its exchange of asynchronous messages, and a service contract is a desirable composition of a variety of messages. Though this model is simple, implementing large-scale, cross-organizational distributed applications may be difficult to achieve in general, as there is no guarantee that service composition will be possible because of incompatibilities of Web service contracts. We categorize compatibility issues in Web service contracts into two broad categories: (a) between contracts of different services (which we define as a composability problem), and (b) a service contract and its implementation (which we define as a conformance problem). This chapter examines and addresses these problems, first by identifying and specifying contract compatibility conditions, and second, through the use of compatibility checking tools that enable application developers to perform checks at design time.

A Novel Physics Inspired Approach for Web Service Composition

2014 ◽  
Vol 11 (2) ◽  
pp. 67-84 ◽  
Author(s):  
Tanveer Ahmed ◽  
Abhishek Srivastava
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Service Oriented Architecture ◽  
Service Providers ◽  
Web Service Composition ◽  
Heterogeneous Services ◽  
Service Oriented ◽  
Service Consumer ◽  
Selection Of

Service oriented architecture has revolutionized the way a traditional business process is executed. The success of this architecture is Indue to the composition of multiple heterogeneous services at runtime. Web service composition is a mechanism where several web services are combined at runtime to build a complex application for a user. It is one of the most sought after processes in the context of semantic web. But, composition of web services at runtime is a difficult task owing to the availability of multiple service providers offering the same functionality. The process if exasperated by due conflicting preferences of a service consumer. In this paper, the authors address the issue of selecting a service based on Quality of Service (QoS) attributes. They utilize concepts customized from physics to create an environment that facilitates the selection of a best service from the set of similar services. The technique not only facilitates the selection of the service with the best QoS attributes, but distributes the load among expeditiously. Here in this paper, the authors concentrate on minimizing and equitably balancing the waiting time for a user. They conduct in silico experiments on multiple workflows to demonstrate the efficacy of the proposed technique to balance load efficiently among similar service offerings.

Geospatial Web Services

2011 ◽  
pp. 1-35 ◽  
Author(s):  
Peishing Zhao ◽  
Genong Yu ◽  
Liping Di
Keyword(s):  
Life Cycle ◽  
Information Systems ◽  
Web Services ◽  
Web Service ◽  
Service Oriented Architecture ◽  
Spatial Information ◽  
Geospatial Data ◽  
Spatial Information Systems ◽  
Service Oriented ◽  
Geospatial Web Services

As Web service technologies mature in recent years, a growing number of geospatial Web services designed to interoperate spatial information over the network have emerged. Geospatial Web services are changing the way in which spatial information systems and applications are designed, developed and deployed. This chapter introduces all aspects of geospatial Web services from service-oriented architecture to service implementation. It covers the life cycle of geospatial Web services in terms of geospatial interoperable standards, including publish, discovery, invocation and orchestration. To make geospatial Web services more intelligent, semantic issues about geospatial data and services are discussed here. Furthermore, the applications of standard-compliant geospatial Web service are also reviewed.

Research for SOA Frame Based on WebSphere Platform

2011 ◽  
Vol 121-126 ◽  
pp. 4074-4079
Author(s):  
Yue Jin Lin ◽  
Bing Yue Liu ◽  
Hui Ling Chen
Keyword(s):  
Web Service ◽  
Programming Languages ◽  
Data Storage ◽  
Operating Systems ◽  
Service Oriented Architecture ◽  
Service Development ◽  
Loose Coupling ◽  
Application Architecture ◽  
Service Oriented ◽  
System 2

To meet the requirements of enterprises in different developing phases, often using the latest technology under the circumstances that lead to existing many and various hardware, operating systems, middleware, programming languages, data storage, reusable redundant code in the enterprise. Service-Oriented Architecture (SOA)[1] is naturally chose as an application architecture by many enterprises because of its innate loose coupling and co-operating. In this paper you will see the Web service development tools supplied by WebSphere platform and you will also see that Web service function which is supplied by J2EE can easily build up SOA system [2] and visit the the existing business process.

scholarly journals Quality Prediction of Web Services Based on a Covering Algorithm

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Ying Jin ◽  
Guangming Cui ◽  
Yiwen Zhang
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Oriented Architecture ◽  
Quality Prediction ◽  
Important Research ◽  
Novel Approach ◽  
Target User ◽  
Service Oriented ◽  
Better Than

Service-oriented architecture (SOA) is widely used, which has fueled the rapid growth of Web services and the deployment of tremendous Web services over the last decades. It becomes challenging but crucial to find the proper Web services because of the increasing amount of Web services. However, it proves unfeasible to inspect all the Web services to check their quality values since it will consume a lot of resources. Thus, developing effective and efficient approaches for predicting the quality values of Web services has become an important research issue. In this paper, we propose UIQPCA, a novel approach for hybrid User and Item-based Quality Prediction with Covering Algorithm. UIQPCA integrates information of both users and Web services on the basis of users’ ideas on the quality of coinvoked Web services. After the integration, users and Web services which are similar to the target user and the target Web service are selected. Then, considering the result of integration, UIQPCA makes predictions on how a target user will appraise a target Web service. Broad experiments on WS-Dream, a web service dataset which is widely used in real world, are conducted to evaluate the reliability of UIQPCA. According to the results of experiment, UIQPCA is far better than former approaches, including item-based, user-based, hybrid, and cluster-based approaches.

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