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Article
Reputation-based composition of social web services
Proceedings - International Conference on Advanced Information Networking and Applications, AINA
  • Alessandro Celestini, Institutions Markets Technologies, Lucca
  • Gianpiero Costantino, Istituto Di Informatica E Telematica, Pisa
  • Rocco De Nicola, Institutions Markets Technologies, Lucca
  • Zakaria Maamar, Zayed University
  • Fabio Martinelli, Istituto Di Informatica E Telematica, Pisa
  • Marinella Petrocchi, Istituto Di Informatica E Telematica, Pisa
  • Francesco Tiezzi, Institutions Markets Technologies, Lucca
Document Type
Conference Proceeding
Publication Date
1-1-2014
Abstract

Social Web Services (SWSs) constitute a novel paradigm of service-oriented computing, where Web services, just like humans, sign up in social networks that guarantee, e.g., better service discovery for users and faster replacement in case of service failures. In past work, composition of SWSs was mainly supported by specialised social networks of competitor services and cooperating ones. In this work, we continue this line of research, by proposing a novel SWSs composition procedure driven by the SWSs reputation. Making use of a well-known formal language and associated tools, we specify the composition steps and we prove that such reputation-driven approach assures better results in terms of the overall quality of service of the compositions, with respect to randomly selecting SWSs. © 2014 IEEE.

ISBN
9781479936298
Publisher
Institute of Electrical and Electronics Engineers Inc.
Disciplines
Keywords
  • Reputation Systems,
  • Social Web Services,
  • Stochastic Analysis
Scopus ID
84903839884
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1109/AINA.2014.90
Citation Information
Alessandro Celestini, Gianpiero Costantino, Rocco De Nicola, Zakaria Maamar, et al.. "Reputation-based composition of social web services" Proceedings - International Conference on Advanced Information Networking and Applications, AINA (2014) p. 735 - 742 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/1550-445X" target="_blank">1550-445X</a>
Available at: http://works.bepress.com/zakaria-maamar/259/