Modeling User Expectations & Satisfaction for SaaS Applications Using Multi-agent Negotiation

Amro Najjar 1, 2 Christophe Gravier 1 Xavier Serpaggi 2, 1 Olivier Boissier 2, 1
1 LHC - Laboratoire Hubert Curien [Saint Etienne]
2 ISCOD-ENSMSE - Département Informatique pour les Systèmes Coopératifs Ouverts et Décentralisés
Abstract : As more personal and interactive applications are moving to the cloud, modeling the end-user expectations and satisfaction is becoming necessary for any SaaS provider to survive and thrive in today’s competitive market. However, most of existing works addressing cloud elasticity management adopt a centralized approach where user preferences are mostly overlooked. Based on evidence from the fields of customer expectation management and psychophysics, in this article we propose a personal user model to represent end-user satisfaction and her expectations. To integrate the end-user into the decision loop we develop multi-agent negotiation architecture in which the end-user model is embodied by a personal agent who negotiates on her behalf. The results of the evaluation process show that automated negotiation provides a useful platform to empower the user choices, fulfill her expectations, and maximize her satisfaction hereby outperforming centralized approaches where the provider acts in a unilateral manner.
Keywords : User-modeling multi-agent systems user satisfaction automated negotiations cloud computing
Type de document :
Communication dans un congrès
2016 IEEE/WIC/ACM International Conference on Web Intelligence, Oct 2016, Omaha, United States. p. 399-406, 2016, 2016 IEEE/WIC/ACM International Conference on Web Intelligence. 〈http://wibih.unomaha.edu/wi〉. 〈10.1109/WI.2016.61〉
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https://hal-emse.ccsd.cnrs.fr/emse-01424948
Contributeur : Florent Breuil <>
Soumis le : mardi 3 janvier 2017 - 10:45:35
Dernière modification le : jeudi 26 juillet 2018 - 01:11:23

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Amro Najjar, Christophe Gravier, Xavier Serpaggi, Olivier Boissier. Modeling User Expectations & Satisfaction for SaaS Applications Using Multi-agent Negotiation. 2016 IEEE/WIC/ACM International Conference on Web Intelligence, Oct 2016, Omaha, United States. p. 399-406, 2016, 2016 IEEE/WIC/ACM International Conference on Web Intelligence. 〈http://wibih.unomaha.edu/wi〉. 〈10.1109/WI.2016.61〉. 〈emse-01424948〉

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