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Conceptual and analytical models for predicting the quality of service of overall telecommunication systems
Poryazov, Stoyan; Saranova, Emiliya; Ganchev, Ivan
This chapter presents scalable conceptual and analytical performance models of overall telecommunication systems, allowing the prediction of multiple Quality of Service (QoS) indicators as functions of the user- and network behavior. Two structures of the conceptual presentation are considered and an analytical method for converting the presentations, along with corresponding additive and multiplicative metrics, is proposed. A corresponding analytical model is elaborated, which allows the prediction of flow-, time-, and traffic characteristics of terminals and users, as well as the overall network performance. In accordance with recommendations of the International Telecommunications Union’s Telecommunication Standardization Sector (ITU-T), analytical expressions are proposed for predicting four QoS indicators. Differentiated QoS indicators for each subservice, as well as analytical expressions for their prediction, are proposed. Overall pie characteristics and their causal aggregations are proposed as causal-oriented QoS indicators. The results demonstrate the ability of the model to facilitate a more precise dynamic QoS management as well as to serve as a source for predicting some Quality of Experience (QoE) indicators.
Keyword(s): overall telecommunication system; performance model overall causal QoS indicator; dynamic QoS management; telecommunication subservices; differentiated QoS subservice indicator QoS prediction; human factors of QoS
Publication Date:
2018
Type: Journal article
Peer-Reviewed: Yes
Language(s): English
Institution: University of Limerick
Citation(s): COST
Autonomous Control for a Reliable Internet of Services. Lecture Notes in Computer Science, vol 10768. Ganchev I., van der Mei R., van den Berg H. (eds) , pp 151-181
IC1304
First Indexed: 2018-07-25 06:27:52 Last Updated: 2018-08-12 06:25:54