TY - GEN
T1 - QoE Evaluation Based on QoS and QoBiz Parameters Applied to an OTT Service
AU - Rivera, Diego
AU - Kushik, Natalia
AU - Fuenzalida, Camila
AU - Cavalli, Ana
AU - Yevtushenko, Nina
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/13
Y1 - 2015/8/13
N2 - In this paper, we present a framework for evaluating the QoE of a service that includes functional and non-functional service requirements. Non-functional requirements are classified into objective, subjective, and business parameters that affect Quality of Service (QoS), Quality of Experience (QoE), and Quality of Business (QoBiz), correspondingly. As those metrics have a strong dependency between each other, we discuss how the QoE of a web-based Over-The-Top service (OTT) can be evaluated taking into account subjective, objective and business parameters. The functional service behavior is described by an Extended Finite State Machine (EFSM) in which non-functional objective, subjective and business-related parameters are tracked using context variables and corresponding updating functions. These parameters are used to evaluate the QoE of the service. We show that the corresponding model allows to keep a track of a user-service interaction. Moreover, the model of the service integrates subjective, objective and business parameters, and thus, can be applied to the QoE evaluation of any OTT service.
AB - In this paper, we present a framework for evaluating the QoE of a service that includes functional and non-functional service requirements. Non-functional requirements are classified into objective, subjective, and business parameters that affect Quality of Service (QoS), Quality of Experience (QoE), and Quality of Business (QoBiz), correspondingly. As those metrics have a strong dependency between each other, we discuss how the QoE of a web-based Over-The-Top service (OTT) can be evaluated taking into account subjective, objective and business parameters. The functional service behavior is described by an Extended Finite State Machine (EFSM) in which non-functional objective, subjective and business-related parameters are tracked using context variables and corresponding updating functions. These parameters are used to evaluate the QoE of the service. We show that the corresponding model allows to keep a track of a user-service interaction. Moreover, the model of the service integrates subjective, objective and business parameters, and thus, can be applied to the QoE evaluation of any OTT service.
KW - Extended Finite State Machine (EFSM)
KW - OTT service
KW - Quality of Business (QoBiz)
KW - Quality of Experience (QoE)
KW - Quality of Service (QoS)
U2 - 10.1109/ICWS.2015.86
DO - 10.1109/ICWS.2015.86
M3 - Conference contribution
AN - SCOPUS:84983134127
T3 - Proceedings - 2015 IEEE International Conference on Web Services, ICWS 2015
SP - 607
EP - 614
BT - Proceedings - 2015 IEEE International Conference on Web Services, ICWS 2015
A2 - Miller, John A.
A2 - Zhu, Hong
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Web Services, ICWS 2015
Y2 - 27 June 2015 through 2 July 2015
ER -