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

Autor: Najjar, Amro, Gravier, Christophe, Serpaggi, Xavier, Boissier, Olivier
Přispěvatelé: Laboratoire Hubert Curien [Saint Etienne] (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS), Département Informatique pour les Systèmes Coopératifs Ouverts et Décentralisés (ISCOD-ENSMSE), École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut Henri Fayol
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: 2016 IEEE/WIC/ACM International Conference on Web Intelligence
2016 IEEE/WIC/ACM International Conference on Web Intelligence, Oct 2016, Omaha, United States. p. 399-406, ⟨10.1109/WI.2016.61⟩
DOI: 10.1109/WI.2016.61⟩
Popis: International audience; 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.
Databáze: OpenAIRE