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Performance Analysis and Modeling of Video Transcoding Using Heterogeneous Cloud Services

机译:使用异构云服务的视频转码性能分析和建模

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High-quality video streaming, either in form of Video-On-Demand (VOD) or live streaming, usually requires converting (i.e., transcoding) video streams to match the characteristics of viewers' devices (e.g., in terms of spatial resolution or supported formats). Considering the computational cost of the transcoding operation and the surge in video streaming demands, Streaming Service Providers (SSPs) are becoming reliant on cloud services to guarantee Quality of Service (QoS) of streaming for their viewers. Cloud providers offer heterogeneous computational services in form of different types of Virtual Machines (VMs) with diverse prices. Effective utilization of cloud services for video transcoding requires detailed performance analysis of different video transcoding operations on the heterogeneous cloud VMs. In this research, for the first time, we provide a thorough analysis of the performance of the video stream transcoding on heterogeneous cloud VMs. Providing such analysis is crucial for efficient prediction of transcoding time on heterogeneous VMs and for the functionality of any scheduling methods tailored for video transcoding. Based upon the findings of this analysis and by considering the cost difference of heterogeneous cloud VMs, in this research, we also provide a model to quantify the degree of suitability of each cloud VM type for various transcoding tasks. The provided model can supply resource (VM) provisioning methods with accurate performance and cost trade-offs to efficiently utilize cloud services for video streaming.
机译:高质量的视频流,无论是视频点播(VOD)还是实时流,通常都需要转换(即转码)视频流以匹配观看者设备的特性(例如,在空间分辨率或支持的方面)格式)。考虑到代码转换操作的计算成本和视频流需求的激增,流服务提供商(SSP)越来越依赖于云服务,以确保其观看者的流服务质量(QoS)。云提供商以不同价格的不同类型的虚拟机(VM)的形式提供异构计算服务。有效利用云服务进行视频转码需要对异构云VM上不同视频转码操作的详细性能分析。在本研究中,我们首次提供了对异构云VM上视频流转码性能的全面分析。提供此类分析对于有效预测异构VM上的转码时间以及为视频转码量身定制的任何调度方法的功能至关重要。基于此分析的结果并考虑异构云VM的成本差异,在本研究中,我们还提供了一个模型来量化每种云VM类型对各种转码任务的适合程度。所提供的模型可以提供具有准确性能和成本折衷的资源(VM)供应方法,以有效地将云服务用于视频流。

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