Secure Web Service Composition

2008 ◽  
pp. 50-70
Author(s):  
Barbara Carminati ◽  
Elena Ferrari ◽  
Patrick Hung
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
Security Requirements ◽  
Primary Concern ◽  
Web Services Composition ◽  
Security Issues ◽  
Services Composition ◽  
Web Service Security

Web service security is today receiving growing attention, and enterprises are realizing that effective security management is essential for earning and maintaining trust in their services. One of the major benefits of Web services is that it is possible to dynamically combine different services together to form a more complex service. Also, in this case, security issues are a primary concern. In this chapter, we focus on security issues that arise when composing Web services. We first provide an overview of the main security requirements that must be taken into account when composing Web services. Then, we survey literature and standards related to Web services composition. Finally, we present a proposal for a brokered architecture on support of the secure composition of Web services.

Mechanisms for Automatic Web Service Composition

2010 ◽  
pp. 175-186
Author(s):  
Quan Yuan ◽  
Mihai Fonoage ◽  
Ionut Cardei
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
Web Services Composition ◽  
Services Composition ◽  
Composition Methods ◽  
Efficient Integration ◽  
The Web

This chapter introduces the web services composition as a means of studying efficient integration of the existing web services to satisfy users’ requirements. It discusses the web services composition definition, combined with the current web services composition methods, and divides those methods into two categories: AI-based methods and Non-AI methods. Also, the authors present the features and the comparison of these two categories, to assist researchers in the understanding of web service composition in a variety of contexts.

Semantic Web Service Composition Standards and their Applications

2014 ◽  
Vol 513-517 ◽  
pp. 1376-1381
Author(s):  
Mutaz Beraka ◽  
Hassan Mathkour ◽  
Sofien Gannouni
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
Web Services Composition ◽  
Semantic Web Service ◽  
Services Composition ◽  
Service Modeling ◽  
Semantic Web Service Composition

Web services allow developers to create, generate and compose them at runtime. However, a single web service is not sufficient to achieve most of user demands in its own. This gives rise to the concept of web services composition of is an appropriate solution to maximize the benefits of web services. Web services composition has received a great attention from different communities. A number of different semantic standards/specifications have been proposed to tackle this issue. These standards are Ontology Web Language and Web Service Modeling Ontology. In this paper, we provide an overview of these standards and present a comparison between them. We also overview different applications that have developed based on each of these standards and present comparisons among them.

scholarly journals Web Service Instant Recommendation for Sustainable Service Mashup

2020 ◽  
Vol 12 (20) ◽  
pp. 8563
Author(s):  
Feng Zhang ◽  
Benming Chen ◽  
Cong Liu
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
State Of The Art ◽  
Web Services Composition ◽  
Service Recommendation ◽  
Multiple Sources ◽  
Services Composition ◽  
Under Construction ◽  
Integrate Data

Service Mashups can help users to integrate data of multiple sources based on Web services composition. Considering a kind of sustainable service Mashup whose data requirement cannot be predetermined, so users need to choose and compose services in a tentative manner. Meanwhile, users can choose and compose services continually to obtain more data based on existing composition results. In such Mashups, a Web service is chosen according to the data provided by the service. Because it is difficult for users to choose from large amounts of services manually, it is a challenge to recommend services instantly for users during the construction of a sustainable service Mashup. This paper proposes an approach to recommend Web services instantly for a sustainable service Mashup. According to the services used in the service Mashup under construction, candidate services are chosen based on the Mashups that are similar to the constructing Mashup, as well as the parameter correlations of services from the perspective of actual operations of Web service composition. Experimental results indicate that the proposed approach has better precision, recall, and coverage values compared to existing state-of-the-art approaches, and therefore, it is more suitable for instant service recommendation of sustainable service Mashups.

QoS–Aware Web Service Composition using Weight Improved Particle Swarm Optimization

2021 ◽  
Vol 9 (2) ◽  
pp. 65-70
Author(s):  
Laishram Jenny Chanu ◽  
◽  
Arnab Paul ◽  
Keyword(s):  
Particle Swarm Optimization ◽  
Web Services ◽  
Web Service ◽  
Optimization Algorithm ◽  
Service Composition ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Web Service Composition ◽  
Swarm Optimization ◽  
Complex Query

Lots of Web Services are available which differ in their QoS values but can perform a similar task. Discovery mechanism selects the best Web Service according to their QoS values and functional attributes. Cases arise, where the discovery mechanism fails, as a user’s complex query cannot be satisfied by a single Web Service. This can be solved by Web Service composition where multiple Web Services are combined to give a composite Web Service which meet user’s complex query. Our work is mainly focused on composition of Web Services that efficiently meets the user’s query. Different algorithms have been discussed and used by different researchers in this field. One of the most blooming topics is the use of evolutionary algorithms in optimization problems. In our work, we have chosen Particle Swarm Optimization Algorithm approach to discover the best efficient composition. Then, Weight Improved Particle Swarm Optimization Algorithm is used to improve the results which were found to be quite satisfying and efficient.

Service Composition Verification and Validation

2013 ◽  
pp. 200-219
Author(s):  
Manuel Palomo-Duarte
Keyword(s):  
Web Services ◽  
Software Development ◽  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
Verification And Validation ◽  
Loosely Coupled ◽  
Program Testing ◽  
Traditional Program ◽  
Programming Systems

Web services are changing software development thanks to their loosely coupled nature and simple adoption. They can be easily composed to create new more powerful services, allowing for large programming systems. Verification and validation techniques try to find defects in a program to minimize losses that its malfunction could cause. Although many different approaches have been developed for “traditional” program testing, none of them have proven definitive. The problem is even more challenging for new paradigms like web services and web service compositions, because of their dynamic nature and uncommon web service-specific instructions. This chapter surveys the different approaches to web service and web service composition verification and validation, paying special attention to automation. When no tools are available for a given technique, academic efforts are discussed, and challenges are presented.

WSBen

2011 ◽  
pp. 739-758 ◽  
Author(s):  
Seog-Chan Oh ◽  
Dongwon Lee
Keyword(s):  
Statistical Analysis ◽  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Network Models ◽  
Web Service Composition ◽  
Ai Planning ◽  
Underlying Network ◽  
Test Sets ◽  
Diverse Data

In this article, a novel benchmark toolkit, WSBen, for testing web services discovery and composition algorithms is presented. The WSBen includes: (1) a collection of synthetically generated web services files in WSDL format with diverse data and model characteristics; (2) queries for testing discovery and composition algorithms; (3) auxiliary files to do statistical analysis on the WSDL test sets; (4) converted WSDL test sets that conventional AI planners can read; and (5) a graphical interface to control all these behaviors. Users can finetune the generated WSDL test files by varying underlying network models. To illustrate the application of the WSBen, in addition, we present case studies from three domains: (1) web service composition; (2) AI planning; and (3) the laws of networks in Physics community. It is our hope that WSBen will provide useful insights in evaluating the performance of web services discovery and composition algorithms. The WSBen toolkit is available at: http://pike.psu.edu/sw/wsben/.

Applying Evolutionary Many-Objective Optimization Algorithms to the Quality-Driven Web Service Composition Problem

2016 ◽  
pp. 170-194
Author(s):  
Arion de Campos Jr. ◽  
Aurora T. R. Pozo ◽  
Silvia R. Vergilio
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Optimization Algorithms ◽  
Web Service Composition ◽  
Nsga Ii ◽  
Preference Relations ◽  
Multi Objective ◽  
Composition Problem

The Web service composition refers to the aggregation of Web services to meet customers' needs in the construction of complex applications. The selection among a large number of Web services that provide the desired functionalities for the composition is generally driven by QoS (Quality of Service) attributes, and formulated as a constrained multi-objective optimization problem. However, many equally important QoS attributes exist and in this situation the performance of the multi-objective algorithms can be degraded. To deal properly with this problem we investigate in this chapter a solution based in many-objective optimization algorithms. We conduct an empirical analysis to measure the performance of the proposed solution with the following preference relations: Controlling the Dominance Area of Solutions, Maximum Ranking and Average Ranking. These preference relations are implemented with NSGA-II using five objectives. A set of performance measures is used to investigate how these techniques affect convergence and diversity of the search in the WSC context.

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.

Sign in / Sign up

Export Citation Format

Share Document