Scheduling Heuristics for Live Video Transcoding on Cloud Edges  

作　　者：Panagiotis Oikonomou Maria G. Koziri Nikos Tziritas Thanasis Loukopoulos XU Cheng-Zhong 

机构地区：[1]University of Thessaly, Lamia 35100, Greece [2]Research Center for Cloud Computing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

出　　处：《ZTE Communications》2017年第2期35-41,共7页中兴通讯技术（英文版）

摘　　要：Efficient video delivery involves the transcoding of the original sequence into various resolutions,bitrates and standards,in order to match viewers’capabilities.Since video coding and transcoding are computationally demanding,performing a portion of these tasks at the network edges promises to decrease both the workload and network traffic towards the data centers of media providers.Motivated by the increasing popularity of live casting on social media platforms,in this paper we focus on the case of live video transcoding.Specifically,we investigate scheduling heuristics that decide on which jobs should be assigned to an edge minidatacenter and which to a backend datacenter.Through simulation experiments with different Qo S requirements we conclude on the best alternative.Efficient video delivery involves the transcoding of the original sequence into various resolutions,bitrates and standards,in order to match viewers’capabilities.Since video coding and transcoding are computationally demanding,performing a portion of these tasks at the network edges promises to decrease both the workload and network traffic towards the data centers of media providers.Motivated by the increasing popularity of live casting on social media platforms,in this paper we focus on the case of live video transcoding.Specifically,we investigate scheduling heuristics that decide on which jobs should be assigned to an edge minidatacenter and which to a backend datacenter.Through simulation experiments with different Qo S requirements we conclude on the best alternative.

关 键 词：video TRANSCODING edge computing SCHEDULING HEURISTICS X264 

分 类 号：TN919.8[电子电信—通信与信息系统]