2nd International ICST Workshop on the Evaluation of Quality of Service through Simulation in the Future Internet

Research Article

A unified metric for quality of service quantification

  • @INPROCEEDINGS{10.4108/ICST.SIMUTOOLS2009.5761,
        author={Pedro  Alipio and Solange Rito  Lima and Paulo  Carvalho},
        title={A unified metric for quality of service quantification},
        proceedings={2nd International ICST Workshop on the Evaluation of Quality of Service through Simulation in the Future Internet},
        publisher={ACM},
        proceedings_a={QOSIM},
        year={2010},
        month={5},
        keywords={Quality of service (QoS) QoS metrics Fuzzy sets Fuzzy logic},
        doi={10.4108/ICST.SIMUTOOLS2009.5761}
    }
    
  • Pedro Alipio
    Solange Rito Lima
    Paulo Carvalho
    Year: 2010
    A unified metric for quality of service quantification
    QOSIM
    ICST
    DOI: 10.4108/ICST.SIMUTOOLS2009.5761
Pedro Alipio1, Solange Rito Lima2, Paulo Carvalho2
  • 1: Critical Software S.A., Parque Industrial de Taveiro, 3045-504 Coimbra, Portugal.
  • 2: University of Minho, Department of Informatics, 4710-057 Braga, Portugal.

Abstract

Internet service providers usually express the quality of network services through a set of values determined according to several network performance parameters periodically collected or measured. However, for common end-users, these values do not give an overall idea of the quality of the network services as they stand for different units and evaluate different perspectives of each service quality. In this context, this paper proposes the definition of a service-oriented unified metric which quantifies a global Quality of Service (QoS) indication by processing standard QoS parameters through a fuzzy controller. The proposed methodology, based on fuzzy logic and tested on Xfuzzy 3.0 platform, allows to close the gap between a high-level QoS perspective and the effective QoS measurements at lower protocolar levels. The definition of a single per-service QoS metric can be useful to simplify control tasks such as QoS routing, SLA negotiation and auditing.