Mapping mechanism to enhance QoS in IP networks

Karamchati, Sriharsha; Rawat, Shatrunjay; Yarram, Sudhir; Ramaguru, Guru Prakash

doi:10.1109/icoin.2018.8343227

Cited by 4 publications

(1 citation statement)

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“…In the proposed model we take into account only requirements, regarding QoS, that are enough significant and transparent to users and thereby relevant for ISP's QoBiz. Steps preceding the development of our model include: selecting QoS parameters that significantly affect QoBiz requirements, identifying key QoBiz parameters, and finding the most appropriate solution for mapping QoS to QoBiz [4,9].…”

Section: Modelling Quality Of Business In Ip Networkmentioning

confidence: 99%

Simulation analysis of quality of business in IP networks

Radonjic-Djogatovic

Djogatovic

Stanojević

2019

YUGOSLAV J OPERATION

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In this paper, we propose a simulation model for mapping Quality of Service (QoS) parameters to Quality of Business (QoBiz) in IP networks. We assume that Internet Service Provider (ISP) offers tariff packages based on the proposed QoS to QoBiz mapping and users' requirements. Available bit rate and security are chosen as the key QoS parameters, and price is selected as a main QoBiz parameter from users' perspective, while revenue singles out as the main QoBiz parameter from ISP's perspective. We also assume that ISP applies hybrid pricing so that price reduction is performed depending on QoS violation, defined through network load. The simulation model is conducted using agentbased simulation methodology. Agents can be seen as autonomous units that mutually interact in the environment. In this research, users and ISP are observed as simulation agents and IP market is seen as the environment. Output parameters in the simulation analysis are ISP's revenue and service price. The proposed model enables direct reflection of QoS violation on service prices and consequently on ISP's revenue. Simulation results show prices decrease for most of the tariff packages.

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Section: Modelling Quality Of Business In Ip Networkmentioning

confidence: 99%