Research progress of mobile video prefetching for mobile content distribution networks

Shihang ZHANG; Yawen LUO; Min ZHANG; Qifu SUN; Xiaolong YANG

doi:10.11959/j.issn.1000-0801.2021020

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Research progress of mobile video prefetching for mobile content distribution networks

Comprehensive Review | 更新时间：2024-06-05

- Research progress of mobile video prefetching for mobile content distribution networks
- Telecommunications Science Vol. 37, Issue 1, Pages: 8-21(2021)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2021020
  CLC： TN91
- Published Online：2021-01，
  
  Published：20 January 2021
- 稿件说明：
移动端阅览
Shihang ZHANG, Yawen LUO, Min ZHANG, et al. Research progress of mobile video prefetching for mobile content distribution networks[J]. Telecommunications science, 2021, 37(1): 8-21.
DOI：

Shihang ZHANG, Yawen LUO, Min ZHANG, et al. Research progress of mobile video prefetching for mobile content distribution networks[J]. Telecommunications science, 2021, 37(1): 8-21. DOI： 10.11959/j.issn.1000-0801.2021020.

摘要

随着移动互联网的发展和视频应用的普及，移动内容分发网络（MCDN）应运而生。预取技术是内容分发的关键技术之一，它通过预测用户未来的请求，提前将预测的内容预取至网络边缘，从而减少数据的获取时延、提升用户体验质量（QoE）。为深入阐述移动视频预取技术的发展现状，从用户移动行为感知、内容属性感知、网络资源感知等角度分析梳理了移动视频预取技术的最新研究成果，同时分析了各类预取方案的性能及其主要优缺点，最后指出未来可以进一步研究的方向。

Abstract

With the development of mobile internet and the popularization of video applications

the mobile content distribution network (MCDN) emerged as the times require.Prefetching technology is one of the key technologies for content distribution.It predicts the user’s future requests and prefetches the predicted content to the network edge in advance

thereby reducing the data acquisition delay and improving the quality of experience (QoE).In order to elaborate on the development status of mobile video prefetching technology

the latest research results of mobile video prefetching technology were introduced from the perspectives of user’s mobile behavior perception

content attribute perception

and network resource perception.And finally its main advantages and disadvantages were analyzed and the direction of further research in the future was pointed out.

关键词

Keywords

references

INDEX C V N . Cisco visual networking index:global mobile data traffic forecast update,2017–2022 [R ] . 2017 .

YEN C C , WANG J S . Distributed delivery of popular videos over ultra-dense networks [C ] // Proceedings of 2015 IEEE Symposium on Computers and Communication (ISCC) . Piscataway:IEEE Press , 2015 : 116 - 121 .

贺甜甜 , 刘彦凯 , 宋利 . 视频用户体验理论与实践 [J ] . 电信科学 , 2017 , 33 ( 8 ): 67 - 76 .

HE T T , LIU Y K , SONG L . Theory and practice of quality of experience in video services [J ] . Telecommunications Science , 2017 , 33 ( 8 ): 67 - 76 .

PSARAS I , SOURLAS V , SHTEFAN D , et al . On the feasibility of a user-operated mobile content distribution network [C ] // Proceedings of 2017 IEEE 18th International Symposium on a World of Wireless,Mobile and Multimedia Networks (WoWMoM) . Piscataway:IEEE Press , 2017 : 1 - 9 .

PARMAR J , VERMA J . State-of-artsurvey of various Web prefetching techniques [C ] // Proceedings of 2016 International Conference on Inventive Computation Technologies (ICICT) . Piscataway:IEEE Press , 2016 : 1 - 7 .

CHANDRAKAR R , VARSHNEY S . A comprehensive survey on importance of Web caching and pre-fetching [J ] . International Journal of Science and Research , 2016 , 5 ( 6 ): 1009 - 1016 .

ME G . A survey of various prefetching techniques in P2P video streaming [J ] . Sciences , 2017 , 11 ( 8 ): 551 - 557 .

吴大鹏 , 李雪 , 李红霞 . 基于 TWDM-PON 与 C-RAN 的QoE 感知视频协作缓存与传输机制 [J ] . 通信学报 , 2019 , 40 ( 3 ): 80 - 91 .

WU D P , LI X , LI H X . QoE-aware video cooperative caching and transmission mechanism based on TWDM-PON and C-RAN [J ] . Journal on Communications , 2019 , 40 ( 3 ): 80 - 91 .

GOIAN H S , AL-JARRAH O Y , MUHAIDAT S , et al . Popularity-based video caching techniques for cache-enabled networks:a survey [J ] . IEEE Access , 2019 ( 7 ): 27699 - 27719 .

KABIR A , REHMAN G , GILANI S M , et al . The role of caching in next generation cellular networks:a survey and research outlook [J ] . Transactions on Emerging Telecommunications Technologies , 2020 , 31 ( 2 ): e3702 .

李佳 , 谢人超 , 贾庆民 , 等 . 面向视频流的MEC缓存转码联合优化研究 [J ] . 电信科学 , 2018 , 34 ( 8 ): 76 - 86 .

LI J , XIE R C , JIA Q M , et al . A survey on joint optimization of MEC caching and transcoding for video streaming [J ] . Telecommunications Science , 2018 , 34 ( 8 ): 76 - 86 .

DENG H , PENG C , FIDA A , et al . Mobility support in cellular networks:a measurement study on its configurations and implications [C ] // Proceedings of the Internet Measurement Conference . New York:ACM Press , 2018 : 147 - 160 .

LI Y , ZHANG Y , YUAN R . Measurement and analysis of a large scale commercial mobile internet TV system [C ] // Proceedings of the 2011 ACM SIGCOMM Conference on Internet Measurement Conference . New York:ACM Press , 2011 : 209 - 224 .

张海涛 , 蒋继飞 , 周欢 . 基于模式匹配度的用户移动规则挖掘及位置预测方法研究 [J ] . 计算机应用研究 , 2019 , 36 ( 11 ): 3258 - 3261 , 3296 .

ZHANG H T , JIANG J F , ZHOU H . Method of mining user mobile rule based on pattern matching degree and location prediction [J ] . Application Research of Computers , 2019 , 36 ( 11 ): 3258 - 3261 , 3296 .

HOSNY S , ERYILMAZ A , EL GAMAL H . Impact of user mobility on D2D caching networks [C ] // Proceedings of 2016 IEEE Global Communications Conference (GLOBECOM) . Piscataway:IEEE Press , 2016 : 1 - 6 .

钱志鸿 , 王雪 . 面向5G通信网的D2D技术综述 [J ] . 通信学报 , 2016 , 37 ( 7 ): 1 - 14 .

QIAN Z H , WANG X . Reviews of D2D technology for 5G communication networks [J ] . Journal on Communications , 2016 , 37 ( 7 ): 1 - 14 .

MA G , WANG Z , CHEN M , et al . APRank:joint mobility and preference-based mobile video prefetching [C ] // Proceedings of 2017 IEEE International Conference on Multimedia and Expo (ICME) . Piscataway:IEEE Press , 2017 : 7 - 12 .

BUI N , CESANA M , HOSSEINI S A , et al . A survey of anticipatory mobile networking:context-based classification,prediction methodologies,and optimization techniques [J ] . IEEE Communications Surveys ＆ Tutorials , 2017 , 19 ( 3 ): 1790 - 1821 .

PAL A , DUTTA P , CHAKRABARTI A , et al . Stable neighbor-node prediction with multivariate analysis in mobile Ad Hoc network using RNN model [M ] // Algorithms in Machine Learning Paradigms . Singapore : Springer , 2020 : 165 - 179 .

ZHANG P , OUYANG W , ZHANG P , et al . SR-LSTM:state refinement for lstm towards pedestrian trajectory prediction [C ] // Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . Los Alamitos:IEEE Computer Society , 2019 : 12085 - 12094 .

BAI S , KOLTER J Z , KOLTUN V . An empirical evaluation of generic convolutional and recurrent networks for sequence modeling [EB ] . 2018 .

RUDENKO A , PALMIERI L , HERMAN M , et al . Human motion trajectory prediction:a survey [EB ] . 2019 .

LI Q , ZHANG Y , HUANG H , et al . Deep learning-based short video recommendation and prefetching for mobile commuting users [C ] // Proceedings of the ACM SIGCOMM 2019 Workshop on Networking for Emerging Applications and Technologies . New York:ACM Press , 2019 : 49 - 55 .

PAUL T , PUSCHER D , WILK S , et al . Systematic,large-scale analysis on the feasibility of media prefetching in online social networks [C ] // Proceedings of 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC) . Piscataway:IEEE Press , 2015 : 755 - 760 .

LAI C H , LEE S J , HUANG H L . A social recommendation method based on the integration of social relationship and product popularity [J ] . International Journal of Human-Computer Studies , 2019 ( 121 ): 42 - 57 .

CUI L , DONG L , FU X , et al . A video recommendation algorithm based on the combination of video content and social network [J ] . Concurrency and Computation:Practice and Experience , 2017 , 29 ( 14 ): e3900 .

YUAN T , CHENG J , ZHANG X , et al . How friends affect user behaviors? An exploration of social relation analysis for recommendation [J ] . Knowledge-Based Systems , 2015 ( 88 ): 70 - 84 .

WU C , CHEN X , ZHU W , et al . Socially-driven learning-based prefetching in mobile online social networks [J ] . IEEE/ACM Transactions on Networking , 2017 , 25 ( 4 ): 2320 - 2333 .

FAN Y , YANG B , HU D , et al . Social-and content-aware prediction for video content delivery [J ] . IEEE Access , 2020 ( 8 ): 29219 - 29227 .

XU X , LIU J , TAO X . Mobile edge computing enhanced adaptive bitrate video delivery with joint cache and radio resource allocation [J ] . IEEE Access , 2017 ( 5 ): 16406 - 16415 .

ZHOU Y , CHEN L , YANG C , et al . Video popularity dynamics and its implication for replication [J ] . IEEE Transactions on Multimedia , 2015 , 17 ( 8 ): 1273 - 1285 .

SHULMAN B , SHARMA A , COSLEY D . Predictability of popularity:gaps between prediction and understanding [C ] // Proceedings of Tenth International AAAI Conference on Web and Social Media . Palo Alto:AAAI Press , 2016 .

SZABO G , HUBERMAN B A . Predicting the popularity of online content [J ] . Communications of the ACM , 2010 , 53 ( 8 ): 80 - 88 .

TANG L , HUANG Q , PUNTAMBEKAR A , et al . Popularity prediction of facebook videos for higher quality streaming [C ] // Proceedings of 2017 {USENIX} Annual Technical Conference ({USENIX}{ATC} 17) . Berkeley:USENIX Association , 2017 : 111 - 123 .

SUN M , CHEN H , SHU B . Predict-then-prefetch caching strat egy to enhance QoE in 5G networks [C ] // Proceedings of 2018 IEEE World Congress on Services (SERVICES) . Piscataway:IEEE Press , 2018 : 67 - 68 .

HU W , HUANG J , WANG Z , et al . MUSA:Wi-Fi AP-assisted video prefetching via tensor learning [C ] // Proceedings of 2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS) . Piscataway:IEEE Press , 2017 : 1 - 6 .

ALOUI M , ELBIAZE H , GLITHO R , et al . Analytics as a service architecture for cloud-based CDN:case of video popularity prediction [C ] // Proceedings of 2018 15th IEEE Annual Consumer Communications ＆ Networking Conference (CCNC) . Piscataway:IEEE Press , 2018 : 1 - 4 .

戚凯强 , 杨晨阳 , 韩圣千 . 基于实测数据集预测用户请求行为对主动边缘缓存的影响 [J ] . 信号处理 , 2019 , 35 ( 4 ): 531 - 541 .

QI K Q , YANG C Y , HAN S Q . Impacts of learning user request behavior with a real dataset on proactive wireless-edge caching [J ] . Journal of Signal Processing , 2019 , 35 ( 4 ): 531 - 541 .

CLAEYS M , BOUTEN N , DE VLEESCHAUWER D , et al . An announcement-based caching approach for video-on-demand streaming [C ] // Proceedings of 2015 11th International Conference on Network and Service Management (CNSM) . Piscataway:IEEE Press , 2015 : 310 - 317 .

CARLIER A , CHARVILLAT V , OOI W T . A video timeline with bookmarks and prefetch state for faster video browsing [C ] // Proceedings of the 23rd ACM International Conference on Multimedia . New York:ACM Press , 2015 : 967 - 970 .

LIANG L I , DONG Y X , ZHAO C H , et al . Collaborative filtering recommendation algorithm combined with user trust [J ] . Journal of Chinese Computer Systems , 2017 , 38 ( 5 ).

SON J , KIM S B . Content-based filtering for recommendation systems using multiattribute networks [J ] . Expert Systems with Applications , 2017 ( 89 ): 404 - 412 .

CHANG S , WEI W , XIE G . Hybrid recommendation algorithm based on logistic regression refinement sorting model [C ] // Proceedings of 2019 International Conference on Image and Video Processing,and Artificial Intelligence . Bellingham:SPIE , 2019 .

GOUTA A , HAUSHEER D , KERMARREC A M , et al . CPSys:a system for mobile video prefetching [C ] // Proceedings of 2015 IEEE 23rd International Symposium on Modeling,Analysis,and Simulation of Computer and Telecommunication Systems . Piscataway:IEEE Press , 2015 : 188 - 197 .

ZHANG Z , YANG Y , HUA M , et al . Proactive caching for vehicular multi-view 3D video streaming via deep reinforcement learning [J ] . IEEE Transactions on Wireless Communications , 2019 , 18 ( 5 ): 2693 - 2706 .

侯永宏 , 邢家明 , 王利伟 . 基于模糊控制的流媒体自适应传输算法 [J ] . 计算机工程与科学 , 2018 , 40 ( 8 ): 1444 - 1452 .

HOU Y H , XING J M , WANG L W . An adaptive video streaming transmission algorithm based on fuzzy control [J ] . Computer Engineering and Science , 2018 , 40 ( 8 ): 1444 - 1452 .

KLEINROUWELER J W , CABRERO S , CESAR P . Delivering stable high-quality video:an SDN architecture with DASH assisting network elements [C ] // Proceedings of the 7th International Conference on Multimedia Systems . New York:ACM Press , 2016 : 1 - 10 .

DONG K , HE J , SONG W . QoE-aware adaptive bitrate video streaming over mobile networks with caching proxy [C ] // Proceedings of 2015 International Conference on Computing,Networking and Communications (ICNC) . Piscataway:IEEE Press , 2015 : 737 - 741 .

KRISHNAMOORTHI V , CARLSSON N , EAGER D , et al . Helping hand or hidden hurdle:proxy-assisted HTTP-based adaptive streaming performance [C ] // Proceedings of 2013 IEEE 21st International Symposium on Modelling,Analysis and Simulation of Computer and Telecommunication Systems . Piscataway:IEEE Press , 2013 : 182 - 191 .

YARNAGULA H K , TAMARAPALLI V . Adaptive prefetching at network edge to improve DASH QoE [C ] // Proceedings of the 21st International Conference on Distributed Computing and Networking . New York:ACM Press , 2020 : 1 .

GE C , WANG N , FOSTER G , et al . Toward QoE-assured 4K video-on-demand delivery through mobile edge virtualization with adaptive prefetching [J ] . IEEE Transactions on Multimedia , 2017 , 19 ( 10 ): 2222 - 2237 .

SENGUPTA S , GANGULY N , CHAKRABORTY S , et al . Hotdash:hotspot aware adaptive video streaming using deep reinforcement learning [C ] // Proceedings of 2018 IEEE 26th International Conference on Network Protocols (ICNP) . Piscataway:IEEE Press , 2018 : 165 - 175 .

SHI W , LI Q , WANG C , et al . LEAP:learning-based smart edge with caching and prefetching for adaptive video streaming [C ] // Proceedings of the International Symposium on Quality of Service . New York:ACM Press , 2019 : 1 - 10 .

LALL S , MORAVAPALLE U P , SIVAKUMAR R . Poster:while you were sleeping-time-shifted prefetching of YouTube videos to reduce peak-time cellular data usage [C ] // Proceedings of the 25th Annual International Conference on Mobile Computing and Networking . New York:ACM Press , 2019 : 1 - 3 .

高志朋 . 基于视频块下次请求时间的缓存系统研究 [D ] . 北京:北京交通大学 , 2019 .

GAO Z P . Caching system based on next requested time of video block [D ] . Beijing:Beijing Jiaotong University , 2019 .

LIU W , JIANG Y , XU S , et al . Mobility-aware video prefetch caching and replacement strategies in mobile-edge computing networks [C ] // Proceedings of 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) . Piscataway:IEEE Press , 2018 : 687 - 694 .

VARGHESE B , BUYYA R . Next generation cloud computing:new trends and research directions [J ] . Future Generation Computer Systems , 2018 ( 79 ): 849 - 861 .

NISHIUCHI H , TRAN G K , SAKAGUCHI K . Performance evaluation of 5G mmWave edge cloud with prefetching algorithm-invited paper [C ] // Proceedings of 2018 IEEE 87th Vehicular Technology Conference (VTC Spring) . Piscataway:IEEE Press , 2018 : 1 - 5 .

WU X , LI Q , LI X , et al . Joint long-term cache updating and short-term content delivery in cloud-based small cell networks [J ] . IEEE Transactions on Communications , 2020 , 68 ( 5 ): 3173 - 3186 .

李效光 , 李晖 , 李凤华 , 等 . 差分隐私综述 [J ] . 信息安全学报 , 2018 , 3 ( 5 ): 92 - 104 .

LI X G , LI H , LI F H , et al . A survey on differential privacy [J ] . Journal of Cyber Security , 2018 , 3 ( 5 ): 92 - 104 .

BERTSIMAS D , GUPTA V , KALLUS N . Data-driven robust optimization [J ] . Mathematical Programming , 2018 , 167 ( 2 ): 235 - 292 .

ABDALMOATY M R H , HJALMARSSON H . Linear prediction error methods for stochastic nonlinear models [J ] . Automatica , 2019 ( 105 ): 49 - 63 .

王继业 , 周碧玉 , 张法 , 等 . 数据中心能耗模型及能效算法综述 [J ] . 计算机研究与发展 , 2019 , 56 ( 8 ): 1587 - 1603 .

WANG J Y , ZHOU B Y , ZHANG F , et al . Data center energy consumption model sand energy efficient algorithms [J ] . Journal of Computer Research and Development , 2019 , 56 ( 8 ): 1587 - 1603 .

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