A Contemporary Survey on Live Video Streaming from a Computation-Driven Perspective

被引:27
作者
Nhu-Ngoc Dao [1 ]
Anh-Tien Tran [2 ]
Ngo Hoang Tu [3 ,4 ]
Tran Thien Thanh [4 ]
Vo Nguyen Quoc Bao [5 ]
Cho, Sungrae [2 ]
机构
[1] Sejong Univ, Dept Comp Sci & Engn, Neungdong Ro 209, Seoul 05006, South Korea
[2] Chung Ang Univ, Sch Comp Sci & Engn, Heukseok Ro 84, Seoul 06974, South Korea
[3] Seoul Natl Univ Sci & Technol, Dept Smart Energy Syst, Gongneung Ro 232, Seoul 01811, South Korea
[4] Ho Chi Minh City Univ Transport, Dept Comp Engn, Vo Oanh 2, Ho Chi Minh City 710372, Vietnam
[5] Posts & Telecommun Inst Technol, Wireless Commun Dept, Nguyen Dinh Chieu 11,Dist 1, Ho Chi Minh City 710372, Vietnam
基金
新加坡国家研究基金会;
关键词
Live video streaming; in-network computing; cloud computing; time-sensitive services; RESOURCE-ALLOCATION; RATE ADAPTATION; EDGE; QOE; BLOCKCHAIN; ARCHITECTURE; EFFICIENCY; MULTICAST; NETWORKS; SERVICES;
D O I
10.1145/3519552
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Live video streaming services have experienced significant growth since the emergence of social networking paradigms in recent years. In this scenario, adaptive bitrate streaming communications transmitted on web protocols provide a convenient and cost-efficient facility to serve various multimedia platforms over the Internet. In these communication models, video content is delivered optimally, possibly transcoded, edited automatically, and cached temporarily by network elements along the path. To this end, the computational capabilities of various network elements are considered as major resources to be optimized for service quality improvements. This article provides a contemporary survey of cutting-edge live video streaming studies from a computation-driven perspective. First, an overview of the global standards, system architectures, and streaming protocols is presented. Next, hierarchical computation-driven models of live video streaming are anatomized, including cloud-, edge-, and peer-to-peer-based solutions. Cutting-edge studies are then reviewed to discover the advances they have made in improving system performance in multiple areas. Finally, open challenges are presented to direct future research in this field.
引用
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页数:38
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