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A hybrid priority-based video-on-demand resource sharing scheme

机译:基于混合优先级的视频点播资源共享方案

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摘要

Video-on-demand (VoD) environments frequently batch video requests to decrease I/O demand and increase throughput. Since users may leave due to waiting too long, a good video scheduling policy has to consider not only the batch size, but also the user defection probabilities and waiting times. Moreover, a practical VoD resource sharing scheme should endeavor to provide some free streams to serve a high-priority clients requests immediately, since the high-priority clients might pay for the requested video. To tackle these problems, this work proposes a hybrid resource sharing model that integrates controlled multicasting and batching. The proposed hybrid model applies a bandwidth borrowing and reserving scheme to give high-priority clients a prompt service, while still providing low-priority clients with a reasonable service. Furthermore, a novel probability model-based scheduling policy is proposed to alleviate the user defection behavior and unfairness issue. Experimental results demonstrate that the proposed resource sharing scheme is effective and feasible in terms of blocking probability of high-priority clients, the defection probability, service delay time and fairness to low-priority users.
机译:视频点播(VoD)环境经常批量处理视频请求,以减少I / O需求并提高吞吐量。由于用户可能由于等待时间过长而离开,因此良好的视频调度策略不仅要考虑批量大小,还要考虑用户的背叛概率和等待时间。此外,实用的VoD资源共享方案应努力提供一些免费流,以立即服务于高优先级客户的请求,因为高优先级客户可能会为所请求的视频付费。为了解决这些问题,这项工作提出了一种混合资源共享模型,该模型集成了受控的多播和批处理。提出的混合模型应用带宽借用和保留方案来为高优先级客户提供及时的服务,同时仍为低优先级客户提供合理的服务。此外,提出了一种基于概率模型的新型调度策略,以减轻用户叛逃行为和不公平问题。实验结果表明,所提出的资源共享方案在高优先级客户的阻塞概率,叛逃概率,服务延迟时间和对低优先级用户的公平性方面是有效可行的。

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