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Ecosystem, QoE and pricing of end to end differentiated services

机译:ECOSYSTEM,QoE和结束定价结束差异化服务

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End-to-End (E2E) differentiated services refer to content and application services delivered over Internet with differentiated grade of quality of service (QoS) involving multiple network and ecosystem actors. Such services represent a prospective way to assure QoS required by demanding customers, who cannot be satisfied with QoS delivered by the usual best effort Internet connectivity. This paper focuses on the service differentiation aspect. Using portfolio theory from finance, it develops an optimization model designed for selection of portfolio of such content and application services with varying degrees of QoS by risk adverse service provider under uncertainty about demand, generated by market of heterogeneous users. The model includes decisions about service offer, quality of services, pricing and network capacity expansion. QoS is here used as an objective measure of quality of experience (QoE) for services with E2E performance determining the user satisfaction degree. The risk/profit tradeoff is computed using the industry specific risk measure, which is the fraction of demand not satisfied under the required QoS. We present numerical analysis of the model and the results of the case study shows that introduction of E2E differentiated services can bring substantial benefits to ISP and demanding users, while preserving the quality of basic services.
机译:端到端(E2E)差异化服务是指通过互联网提供的内容和应用服务,涉及多个网络和生态系统演员的服务质量(QoS)的差异化等级。此类服务代表了一项令人准备的QoS苛刻客户所需的前瞻性方法,该客户不能满足于通常最佳互联网连接所提供的QoS。本文侧重于服务差异化方面。使用投资组合理论从金融中,它开发了一种优化模型,该优化模型旨在选择这些内容和应用服务的产品组合,并通过风险不良服务提供商在不确定的情况下,由异构用户市场产生的不确定性。该模型包括关于服务提供,服务质量,定价和网络容量扩展的决策。 QoS在这里用作具有E2E性能的服务的经验质量(QoE)的客观衡量标准,从而确定用户满意度。使用行业特定风险措施来计算风险/利润权衡,这是在所需QoS下不满意的需求的一小部分。我们呈现了模型的数值分析,案例研究结果表明,E2E差异化服务的引入可以为ISP和苛刻的用户带来大量益处,同时保留基本服务的质量。

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