scholarly journals Conversation Errors in Web Service Coordination: Run-time Detection and Repair

Author(s):  
W. Blanchet ◽  
R. Elio ◽  
E. Stroulia
2016 ◽  
Vol 12 (2) ◽  
pp. 142 ◽  
Author(s):  
Jiuyun Xu ◽  
Xiao Ning ◽  
Stephan Reiff Marganiec ◽  
Qiang Duan ◽  
Zibin Zheng

2012 ◽  
Vol 6 ◽  
pp. 145-152
Author(s):  
M. Thirumaran ◽  
P. Dhavachelvan ◽  
R. Shanmugapriya ◽  
Kiran Kumar Reddy

Author(s):  
Samir Tata ◽  
Zakaria Maamar ◽  
Djamel Belaïd ◽  
Khouloud Boukadi

This paper presents the concepts, definitions, issues, and solutions that revolve around the adoption of capacity-driven Web services. Because of the intrinsic characteristics of these Web services compared to regular, mono-capacity Web services, they are examined in a different way and across four steps denoted by description, discovery, composition, and enactment. Implemented as operations to execute at run-time, the capacities that empower a Web service are selected with respect to requirements put on this Web service such as data quality and network bandwidth. In addition, this paper reports on first the experiments that were conducted to demonstrate the feasibility of capacity-driven Web services, and also the research opportunities that will be pursued in the future.


Author(s):  
Naziha Abderrahim ◽  
Sidi Mohamed Benslimane

Recommender systems help users find relevant Web service based on peers' previous experiences dealing with Web services (WSs). However, with the proliferation of WSs, recommendation has become “questionable”. Social computing seems offering innovative solutions to improve the quality of recommendations. Social computing is at the crossroad of computer sciences and social sciences disciplines by looking into ways of improving application design and development using elements that people encounter daily such as collegiality, friendship and trust. In this paper, the authors propose a social trust-aware system for recommending WS based on social qualities of WSs that they exhibit towards peers at run-time, and trustworthiness of the users who provide feedback on their overall experience using WSs. A set of experiments to assess the fairness and accuracy of the proposed system are reported in the paper, showing promising results.


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