Experiences of sampling-based approaches for estimating QoS parameters in the Web Service composition problem

2012 ◽  
Vol 8 (1) ◽  
pp. 1 ◽  
Author(s):  
Eduardo Blanco ◽  
Yudith Cardinale ◽  
María Esther Vidal
Keyword(s):  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
Composition Problem ◽  
Qos Parameters ◽  
The Web

A Logic Programming Based Framework for Intelligent Web Service Composition

2010 ◽  
pp. 193-221 ◽  
Author(s):  
Enrico Pontelli ◽  
Tran Cao Son ◽  
Chitta Baral
Keyword(s):  
Web Services ◽  
Logic Programming ◽  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
Service Description ◽  
Incomplete Knowledge ◽  
Programming Framework ◽  
Composition Problem ◽  
The Web

This chapter presents a comprehensive logic programming framework designed to support intelligent composition of Web services. The underlying model relies on the modeling of Web services as actions, each described by a logic programming theory. This view allows the use of logic-based planning to address the Web service composition problem, taking advantage of the fact that logic-based planning enables the elegant introduction of a number of extensions and generalizations (e.g., dealing with incomplete knowledge and preferences). The theory describing each Web service is encoded as a logic programming module, and different semantics are allowed within different modules, thus better reflecting the practical use of different service description formalisms and ontologies.

A Logic Programming Based Framework for Intelligent Web Service Composition

2011 ◽  
pp. 355-378
Author(s):  
Enrico Pontelli ◽  
Tran Cao Son ◽  
Chitta Baral
Keyword(s):  
Web Services ◽  
Logic Programming ◽  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
Service Description ◽  
Incomplete Knowledge ◽  
Programming Framework ◽  
Composition Problem ◽  
The Web

This chapter presents a comprehensive logic programming framework designed to support intelligent composition of Web services. The underlying model relies on the modeling of Web services as actions, each described by a logic programming theory. This view allows the use of logic-based planning to address the Web service composition problem, taking advantage of the fact that logic-based planning enables the elegant introduction of a number of extensions and generalizations (e.g., dealing with incomplete knowledge and preferences). The theory describing each Web service is encoded as a logic programming module, and different semantics are allowed within different modules, thus better reflecting the practical use of different service description formalisms and ontologies.

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.

Autonomic Execution of Web Service Composition Using AI Planning Method

Web Services ◽  
2019 ◽  
pp. 1530-1550
Author(s):  
Chao-Qun Yuan ◽  
Fang-Fang Chua
Keyword(s):  
Web Service ◽  
Service Composition ◽  
Service Oriented Architecture ◽  
Web Service Composition ◽  
Automated System ◽  
Ai Planning ◽  
Dynamic Factors ◽  
Service Oriented ◽  
Business Requirements ◽  
The Web

Web Service Composition is one of the technologies in Service Oriented Architecture which significantly increases the flexibility and reusability of developing service-oriented system. One of the major problems which occurs in web service composition is the difficulties of maintaining the existing running web service composition solutions due to the changes of business requirements, deployment environment, and other dynamic factors. In this proposed work, an automated system had been built to autonomously execute the web service composition. To achieve this objective, the authors had embedded semantic engine and Prolog in C# program to automatically and dynamically discover, compose and execute web service composition, i.e. a web service composition could be self-configured to automatically recover from execution failure and automatically re-generate composition solution due to business protocol changes.

Web Services

2007 ◽  
pp. 244-267
Author(s):  
Bernd Aman ◽  
Salima Benbernou ◽  
Benjamin Nguyen
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Web Applications ◽  
Loosely Coupled ◽  
Composition Problem ◽  
Service Oriented ◽  
Service Paradigm ◽  
Current Standards ◽  
The Web

Unlike traditional applications, which depend upon a tight interconnection of all program elements, Web service applications are composed of loosely coupled, autonomous and independent services published on the Web. In this chapter, we first introduces the concept of service oriented computing (SOC) on the Web and the current standards enabling the definition and publication of Web services. This technology’s next evolution is to facilitate the creation and maintenance of Web applications. This can be achieved by exploiting the self-descriptive nature of Web services combined with more powerful models and languages for composing Web services. A second objective of this chapter is to illustrate the complexity of the Web service composition problem and to provide a representative overview of the existing approaches. The chapter concludes with a short presentation of two research projects exploiting and extending the Web service paradigm.

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