Self-adaptive fuzzy QoS-driven web service discovery

Romina Torres, Hernán Astudillo, Rodrigo Salas

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

30 Citas (Scopus)


Due to the high proliferation of web services, selecting the best services from functional equivalent service providers have become a real challenge, where the quality of the services plays a crucial role. But quality is uncertain, therefore, several researchers have applied Fuzzy logic to address the imprecision of the quality of service (QoS) constraints. Furthermore, the service market is highly dynamic and competitive, where web services are constantly entering and exiting this market, and they are continually improving themselves due to the competition. Current fuzzy-based techniques are expert and/or consensus-based, and therefore too fragile, expensive, non-scalable and non-self-adaptive. In this paper we introduce a new methodology to support requesters in selecting Web services by automatically connecting imprecisely defined QoS constraints with overly precise service QoS offerings over the time. We address the dynamism of the market by using each time a modified fuzzy c-means module that allows providers to automatically organize themselves around the QoS levels. The advantage of our approach is that consumers can specify their QoS constraints without really knowing what are the current best quality ranges. We illustrate our approach with a case of study.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2011 IEEE International Conference on Services Computing, SCC 2011
Número de páginas8
EstadoPublicada - 2011
Evento2011 IEEE International Conference on Services Computing, SCC 2011 - Washington, DC, Estados Unidos
Duración: 4 jul. 20119 jul. 2011


Otros2011 IEEE International Conference on Services Computing, SCC 2011
País/TerritorioEstados Unidos
CiudadWashington, DC

Áreas temáticas de ASJC Scopus

  • Teoría computacional y matemáticas
  • Matemáticas aplicadas


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