A-DynamiCoS: A Flexible Framework for User-centric Service Composition

2012 ◽  
Author(s):  
Eduardo Goncalves da Silva ◽  
Luis Ferreira Pires ◽  
Marten van Sinderen
Keyword(s):  
Service Composition ◽  
Flexible Framework ◽  
User Centric

Dependence-Guided Service Composition for User-Centric SOA

2014 ◽  
Vol 8 (3) ◽  
pp. 889-899 ◽  
Author(s):  
Wei-Tek Tsai ◽  
Peide Zhong ◽  
Xiaoying Bai ◽  
Jay Elston
Keyword(s):  
Service Composition ◽  
User Centric

An Adapted Ant-Inspired Algorithm for Enhancing Web Service Composition

2017 ◽  
Vol 13 (4) ◽  
pp. 181-197 ◽  
Author(s):  
Fadl Dahan ◽  
Khalil El Hindi ◽  
Ahmed Ghoneim
Keyword(s):  
Quality Of Service ◽  
Web Service ◽  
Ant Colony Optimization ◽  
Service Composition ◽  
Web Service Composition ◽  
Ant Colony ◽  
User Requirements ◽  
Diverse Population ◽  
Flexible Framework

Web Service Composition (WSC) provides a flexible framework for integrating independent web services to satisfy complex user requirements. WSC aims to choose the best web service from a set of candidates. The candidates have the same functionality and different non-functional criteria such as Quality of Service (QoS). In this work, the authors propose an ant-inspired algorithm for such problem. They named it Flying Ant Colony Optimization (FACO). Flying ants inject pheromone not only on the nodes on their paths but also on neighboring nodes increasing their chances of being explored in future iterations. The amount of pheromone deposited on these neighboring nodes is inversely proportional to the distance between them and the nodes on the path. The authors believe that by depositing pheromone on neighboring nodes, FACO may consider a more diverse population of solutions, which may avoid stagnation. The empirical experiments show that FACO outperform Ant Colony Optimization (ACO) for the WSC problem, in terms of the quality of solutions but it requires slightly more execution time.

An Adapted Ant-Inspired Algorithm for Enhancing Web Service Composition

Web Services ◽  
2019 ◽  
pp. 904-921
Author(s):  
Fadl Dahan ◽  
Khalil El Hindi ◽  
Ahmed Ghoneim
Keyword(s):  
Quality Of Service ◽  
Web Service ◽  
Ant Colony Optimization ◽  
Service Composition ◽  
Execution Time ◽  
Web Service Composition ◽  
Ant Colony ◽  
Diverse Population ◽  
Flexible Framework

Web Service Composition (WSC) provides a flexible framework for integrating independent web services to satisfy complex user requirements. WSC aims to choose the best web service from a set of candidates. The candidates have the same functionality and different non-functional criteria such as Quality of Service (QoS). In this work, the authors propose an ant-inspired algorithm for such problem. They named it Flying Ant Colony Optimization (FACO). Flying ants inject pheromone not only on the nodes on their paths but also on neighboring nodes increasing their chances of being explored in future iterations. The amount of pheromone deposited on these neighboring nodes is inversely proportional to the distance between them and the nodes on the path. The authors believe that by depositing pheromone on neighboring nodes, FACO may consider a more diverse population of solutions, which may avoid stagnation. The empirical experiments show that FACO outperform Ant Colony Optimization (ACO) for the WSC problem, in terms of the quality of solutions but it requires slightly more execution time.

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