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An Incentive-based Mixed QoE Framework for Content Delivery to Smart Homes

机译：一种基于激励的混合QoE框架，用于智能家庭的内容

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摘要

Smart-home is becoming increasingly popular in recent years, and it introduces a new content retrieval paradigm - delay-insensitive downloading. In this new paradigm, users do not require the content retrieval task to finish as soon as possible, but only set a deadline for it. We study the role of this paradigm in the traffic engineering of a chunk-based cloud storage service. We propose that it could help to reduce the high intra-datacenter traffic at peak resulting from the chunk-based architecture, by delaying users' content requests when necessary. Because of the introduction of the new paradigm, we consider the co-existence of three applications (downloading, streaming, delay-insensitive downloading) in the service, and try to understand the best way to delay users' requests. We conduct an incentive-based study for the evaluation of schemes of delaying users' requests: the service provider pays incentives to users to promote this new paradigm. The incentive, as well as users' application-specific QoE on the service, is modelled, and a framework for the evaluation is presented. We then apply our framework to study several proposed delay schemes and present both quantitative and qualitative results.
机译：近年来，智能家庭越来越受欢迎，介绍了一种新的内容检索范式 - 延迟不敏感下载。在这个新的范例中，用户不需要内容检索任务尽快完成，但只设置了它的截止日期。我们研究该范例在基于块的云存储服务的交通工程中的作用。我们建议通过在必要时延迟用户的内容请求，减少由基于块的架构产生的高峰值的高数据中心流量。由于引入了新的范式，我们考虑了三个应用程序的共存（下载，流媒体，延迟不敏感下载），并尝试了解延迟用户请求的最佳方式。我们对延迟用户请求的计划进行评估进行激励的研究：服务提供商向用户支付激励措施以促进这一新范式。在服务中，激励和用户特定于用户的特定于用户的QoE，并提出了评估的框架。然后，我们将框架应用于研究几种提出的延迟方案，并呈现定量和定性结果。

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