EcoFlow:一个经济的、最后期限驱动的数据中心间视频流调度系统

Yuhua Lin, Haiying Shen, Liuhua Chen
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引用次数: 16

摘要

随着视频流应用被部署在云端,互联网服务提供商按照占主导地位的百分位数收费模式,向云提供商收取数据中心间传输的费用。为了使支付成本最小化,现有工程的目标是使每条链路的交通量保持在收费量(即从收费期开始到当前时间的第95百分位交通量)之下。但是,这些方法不能充分利用每条链路的可用带宽容量,而且可能会增加收费量。为了进一步降低带宽支付成本,充分利用链路带宽,我们提出了一种经济的、期限驱动的视频流调度系统,称为EcoFlow。考虑到不同的视频流有不同的传输时限,EcoFlow按照视频的时限紧度顺序传输视频,并将晚于时限的视频延迟到晚于时限的时段,以保证当前时段的收费量不会增加。预计将错过截止日期的流被分成子流,重新路由到其他未充分利用的链路,以便在不增加收费量的情况下满足截止日期。在Planet Lab和EC2上的实验结果表明,与现有方法相比,EcoFlow为云提供商实现了最低的带宽成本。
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EcoFlow: An Economical and Deadline-Driven Inter-datacenter Video Flow Scheduling System
As video streaming applications are deployed on the cloud, cloud providers are charged by ISPs for inter-data enter transfers under the dominant percentile-based charging models. In order to minimize the payment costs, existing works aim to keep the traffic on each link under the charging volume (i.e., 95th percentile traffic volume from the beginning of a charging period up to current time). However, these methods cannot fully utilize each link's available bandwidth capacity, and may increase the charging volumes. To further reduce the bandwidth payment cost by fully utilizing link bandwidth, we propose an economical and deadline-driven video flow scheduling system, called EcoFlow. Considering different video flows have different transmission deadlines, EcoFlow transmits videos in the order of their deadline tightness and postpones the deliveries of later-deadline videos to later time slots so that the charging volume at current time interval will not increase. The flows that are expected to miss their deadlines are divided into sub flows to be rerouted to other underutilized links in order to meet their deadlines without increasing charging volumes. Experimental results on Planet Lab and EC2 show that compared to existing methods, EcoFlow achieves the least bandwidth costs for cloud providers.
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