DocumentCode :
3595528
Title :
Representative service based quality of experience modeling for instant messaging service
Author :
Xiaofeng Xin ; Wei Wang ; Aiping Huang ; Hangguan Shan
Author_Institution :
Inst. of Inf. & Commun. Eng., Zhejiang Univ., Hangzhou, China
fYear :
2014
Firstpage :
2018
Lastpage :
2023
Abstract :
Instant Messaging (IM) Service is an integrated service composed by multiple types of subservices, which have diverse performance requirements and evaluation criteria. IM service has drawn a lot of attention, yet a suitable Quality of Experience (QoE) model for IM service can rarely be found. In this paper, we propose a Representative Service (RS) based QoE modeling criterion for IM service. We discover that the QoE of IM service users mainly depends on the Representative Service Quality (RSQ) by exploiting the patterns of the IM service user behaviors. In the proposed RS based QoE model, the Normalized Quality (NQ) is defined for different subservices with various performance evaluation criteria to unify their qualities, and the Attention Factor (AF) is proposed to estimate the subservice that a user is focusing on. By performing a small-scale but illustrative subjective test, we verify the proposed QoE model and indicate the effectiveness of the model in tracing the IM service user behaviors.
Keywords :
electronic messaging; quality of experience; AF; IM service; IM service user behaviors; NQ; QoE modeling criterion; Quality of Experience; RSQ; attention factor; instant messaging service; integrated service; normalized quality; quality of experience modeling; representative service; representative service quality; Bandwidth; Delays; Focusing; Instant messaging; Quality of service; Real-time systems; Instant Messaging Service; Quality of Experience; Subjective Test; User Behavior;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal, Indoor, and Mobile Radio Communication (PIMRC), 2014 IEEE 25th Annual International Symposium on
Type :
conf
DOI :
10.1109/PIMRC.2014.7136503
Filename :
7136503
Link To Document :
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