Improving media streaming services for train passengers with 5G
Pages 189 - 194
Abstract
In the research project 5G-VICTORI we are looking into how fifth generation mobile network technology (5G) can help improve video streaming services for train passengers. We use the principle of a local 5G-based data link between trains and 5G base stations in railway stations to load media assets to a caching server in the train, from which passengers can stream media via the regular apps of video-on-demand (VoD) service operators. The paper gives an outlook on the challenges in delivering VoD services to trains via this type of cloud-edge platform. These include determination of relevant content for upload to the cache, enable good quality-of experience (QoE) live streaming and WiFi traffic shaping for fair allocation of network bandwidth to streaming clients.
References
[1]
Micah Adler, Ramesh K. Sitaraman, and Harish Venkataramani. 2011. Algorithms for optimizing the bandwidth cost of content delivery. Computer Networks 55, 18 (2011), 4007 – 4020. https://doi.org/10.1016/j.comnet.2011.07.015 Internet-based Content Delivery.
[2]
S. Agarwal and S. Agarwal. 2009. Social networks as Internet barometers for optimizing content delivery networks. In 2009 IEEE 3rd International Symposium on Advanced Networks and Telecommunication Systems (ANTS). IEEE, New Delhi, India, 1–3. https://doi.org/10.1109/ANTS.2009.5409895
[3]
Sihem Amer-Yahia, Senjuti Basu Roy, Ashish Chawlat, Gautam Das, and Cong Yu. 2009. Group Recommendation: Semantics and Efficiency. Proc. VLDB Endow. 2, 1 (Aug. 2009), 754–765. https://doi.org/10.14778/1687627.1687713
[4]
Benjamin Baron, Promethee Spathis, Herve Rivano, and Marcelo Dias de Amorim. 2016. Offloading Massive Data Onto Passenger Vehicles: Topology Simplification and Traffic Assignment. IEEE/ACM Trans. Netw. 24, 6 (Dec. 2016), 3248–3261. https://doi.org/10.1109/TNET.2016.2518926
[5]
Y. Cao, N. Wang, C. Wu, X. Zhang, and C. Suthaputchakun. 2019. Enhancing Video QoE Over High-Speed Train Using Segment-Based Prefetching and Caching. IEEE MultiMedia 26, 4 (Oct 2019), 55–66. https://doi.org/10.1109/MMUL.2019.2905531
[6]
S. H. Chae and W. Choi. 2016. Caching Placement in Stochastic Wireless Caching Helper Networks: Channel Selection Diversity via Caching. IEEE Transactions on Wireless Communications 15, 10 (Oct 2016), 6626–6637. https://doi.org/10.1109/TWC.2016.2586841
[7]
Wei Koong Chai, Diliang He, Ioannis Psaras, and George Pavlou. 2012. Cache “Less for More” in Information-Centric Networks. In NETWORKING 2012, Robert Bestak, Lukas Kencl, Li Erran Li, Joerg Widmer, and Hao Yin (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 27–40.
[8]
S. A. Chellouche, D. Négru, Y. Chen, and M. Sidibe. 2012. Home-Box-assisted content delivery network for Internet Video-on-Demand services. In 2012 IEEE Symposium on Computers and Communications (ISCC). IEEE, Cappadocia, Turkey, 000544–000550. https://doi.org/10.1109/ISCC.2012.6249353
[9]
Yen-Liang Chen, Li-Chen Cheng, and Ching-Nan Chuang. 2008. A group recommendation system with consideration of interactions among group members. Expert Systems with Applications 34, 3 (2008), 2082 – 2090. https://doi.org/10.1016/j.eswa.2007.02.008
[10]
Po-Jen Chuang and Hang-Li Chen. 2015. An efficient video content delivery strategy for radio access network environments. International Journal of Future Generation Communication & Networking 8, 2(2015), 9–20.
[11]
Deutsche Bahn. 2017. Kostenlos Filme anschauen im ICE. https://inside.bahn.de/maxdome-onboard-ice/ last retrieved: January 27, 2020.
[12]
R. Ding, T. Wang, L. Song, Z. Han, and J. Wu. 2015. Roadside-unit caching in vehicular ad hoc networks for efficient popular content delivery. In 2015 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, New Orleans, LA, USA, 1207–1212. https://doi.org/10.1109/WCNC.2015.7127641
[13]
Mike Gartrell, Xinyu Xing, Qin Lv, Aaron Beach, Richard Han, Shivakant Mishra, and Karim Seada. 2010. Enhancing Group Recommendation by Incorporating Social Relationship Interactions. In Proceedings of the 16th ACM International Conference on Supporting Group Work (Sanibel Island, Florida, USA) (GROUP ’10). Association for Computing Machinery, New York, NY, USA, 97–106. https://doi.org/10.1145/1880071.1880087
[14]
C. Ge, N. Wang, G. Foster, and M. Wilson. 2017. Toward QoE-Assured 4K Video-on-Demand Delivery Through Mobile Edge Virtualization With Adaptive Prefetching. IEEE Transactions on Multimedia 19, 10 (Oct 2017), 2222–2237. https://doi.org/10.1109/TMM.2017.2735301
[15]
D. Grewe, S. Schildt, M. Wagner, and H. Frey. 2018. ADePt: Adaptive Distributed Content Prefetching for Information-Centric Connected Vehicles. In 2018 IEEE 87th Vehicular Technology Conference (VTC Spring). IEEE, Porto, Portugal, 1–5. https://doi.org/10.1109/VTCSpring.2018.8417748
[16]
W. Hu, Y. Jin, Y. Wen, Z. Wang, and L. Sun. 2018. Toward Wi-Fi AP-Assisted Content Prefetching for an On-Demand TV Series: A Learning-Based Approach. IEEE Transactions on Circuits and Systems for Video Technology 28, 7 (July 2018), 1665–1676. https://doi.org/10.1109/TCSVT.2017.2684302
[17]
Jimmy Jernberg, Vladimir Vlassov, Ali Ghodsi, and Seif Haridi. 2006. DOH: A Content Delivery Peer-to-Peer Network. In Euro-Par 2006 Parallel Processing, Wolfgang E. Nagel, Wolfgang V. Walter, and Wolfgang Lehner (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 1026–1039.
[18]
Ke Ji, Zhenxiang Chen, Runyuan Sun, Kun Ma, Zhongjie Yuan, and Guandong Xu. 2018. GIST: A generative model with individual and subgroup-based topics for group recommendation. Expert Systems with Applications 94 (2018), 81 – 93. https://doi.org/10.1016/j.eswa.2017.10.037
[19]
Ondrej Kaššák, Michal Kompan, and Mária Bieliková. 2016. Personalized hybrid recommendation for group of users: Top-N multimedia recommender. Information Processing & Management 52, 3 (2016), 459 – 477. https://doi.org/10.1016/j.ipm.2015.10.001
[20]
Evgeny Khorov, Anton Kiryanov, Andrey Lyakhov, and Giuseppe Bianchi. 2019. A Tutorial on IEEE 802.11ax High Efficiency WLANs. IEEE Communications Surveys and Tutorials 21, 1 (2019).
[21]
Jae Kyeong Kim, Hyea Kyeong Kim, Hee Young Oh, and Young U. Ryu. 2010. A group recommendation system for online communities. International Journal of Information Management 30, 3(2010), 212 – 219. https://doi.org/10.1016/j.ijinfomgt.2009.09.006
[22]
Jeong Yun Kim, Gyu Myoung Lee, and Jun Kyun Choi. 2014. Popularity–Based Adaptive Content Delivery Scheme with In-Network Caching. ETRI Journal 36, 5 (2014), 819–828. https://doi.org/10.4218/etrij.14.0113.0090 arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.4218/etrij.14.0113.0090
[23]
R. Kim, H. Lim, and B. Krishnamachari. 2016. Prefetching-Based Data Dissemination in Vehicular Cloud Systems. IEEE Transactions on Vehicular Technology 65, 1 (Jan 2016), 292–306. https://doi.org/10.1109/TVT.2015.2388851
[24]
s. Hurst L. Pardue, R. Bradbury. 2019. Hypertext Transfer Protocol (HTTP) over multicast QUIC. Internet-Draft draft-pardue-quic-http-mcast-04. Internet Engineering Taskforce. https://tools.ietf.org/id/draft-pardue-quic-http-mcast-04.html
[25]
Byungjoon Lee, Hongseok Jeon, Seunghyun Yoon, and Hoyoung Song. 2012. Towards a CDN over ICN. In DCNET 2012, ICE-B 2012, OPTICS 2012 - Proceedings of the International Conference on Data Communication Networking, e-Business and Optical Communication Systems, ICETE. SciTePress, Rome, Italy, 46–51. https://doi.org/10.5220/0004125900460051
[26]
C. Li, L. Toni, J. Zou, H. Xiong, and P. Frossard. 2018. QoE-Driven Mobile Edge Caching Placement for Adaptive Video Streaming. IEEE Transactions on Multimedia 20, 4 (April 2018), 965–984. https://doi.org/10.1109/TMM.2017.2757761
[27]
G. Luo, Q. Yuan, H. Zhou, N. Cheng, Z. Liu, F. Yang, and X. S. Shen. 2018. Cooperative vehicular content distribution in edge computing assisted 5G-VANET. China Communications 15, 7 (July 2018), 1–17. https://doi.org/10.1109/CC.2018.8424578
[28]
G. Ma, Z. Wang, M. Chen, and W. Zhu. 2017. APRank: Joint mobility and preference-based mobile video prefetching. In 2017 IEEE International Conference on Multimedia and Expo (ICME). IEEE, Hong Kong, China, 7–12. https://doi.org/10.1109/ICME.2017.8019404
[29]
Bruce M. Maggs and Ramesh K. Sitaraman. 2015. Algorithmic Nuggets in Content Delivery. SIGCOMM Comput. Commun. Rev. 45, 3 (July 2015), 52–66. https://doi.org/10.1145/2805789.2805800
[30]
M. Mangili, F. Martignon, and A. Capone. 2014. Stochastic Planning for Content Delivery: Unveiling the Benefits of Network Functions Virtualization. In 2014 IEEE 22nd International Conference on Network Protocols. IEEE, Raleigh, NC, USA, 344–349. https://doi.org/10.1109/ICNP.2014.56
[31]
V. Mathew, R. K. Sitaraman, and P. Shenoy. 2012. Energy-aware load balancing in content delivery networks. In 2012 Proceedings IEEE INFOCOM. IEEE, Orlando, FL, USA, 954–962. https://doi.org/10.1109/INFCOM.2012.6195846
[32]
G. Mauri, M. Gerla, F. Bruno, M. Cesana, and G. Verticale. 2017. Optimal Content Prefetching in NDN Vehicle-to-Infrastructure Scenario. IEEE Transactions on Vehicular Technology 66, 3 (March 2017), 2513–2525. https://doi.org/10.1109/TVT.2016.2580586
[33]
Tony Mauro. 2015. Why Netflix Chose NGINX as the Heart of Its CDN. https://www.nginx.com/blog/why-netflix-chose-nginx-as-the-heart-of-its-cdn/ last retrieved: January 22, 2020.
[34]
R. K. P. Mok, E. W. W. Chan, and R. K. C. Chang. 2011. Measuring the quality of experience of HTTP video streaming. In 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops. IEEE, Dublin, Ireland, 485–492. https://doi.org/10.1109/INM.2011.5990550
[35]
Moving Picture Experts Group. 2011. Dynamic Adaptive Streaming over HTTP (DASH), part 1 Media presentation description and segment formats. ISO/IEC 23009-1. MPEG.
[36]
Moving Picture Experts Group. 2016. Dynamic Adaptive Streaming over HTTP (DASH), part 5 Server and network assisted DASH (SAND). ISO/IEC 23009-5. MPEG.
[37]
NGINX. 2020. Homepage. https://nginx.org/ last retrieved: January 27, 2020.
[38]
Daniel Pakkala and Juhani Latvakoski. 2005. Towards a peer-to-peer extended content delivery network. In Proceedings of 14th IST Mobile and Wireless Communications Summit. Dresden, Germany.
[39]
R. Pantos. 2017. HTTP Live Streaming. Request for Comments 8216. Internet Engineering Taskforce. https://tools.ietf.org/html/rfc8216
[40]
S. Paul, R. Yates, D. Raychaudhuri, and J. Kurose. 2008. The cache-and-forward network architecture for efficient mobile content delivery services in the future internet. In 2008 First ITU-T Kaleidoscope Academic Conference - Innovations in NGN: Future Network and Services. IEEE, Geneva, Switzerland, 367–374. https://doi.org/10.1109/KINGN.2008.4542289
[41]
Stefan Pham, Patrick Heeren, Daniel Silhavy, and Stefan Arbanowski. 2019. Evaluation of Shared Resource Allocation Using SAND for ABR Streaming. In Proceedings of the 10th ACM Multimedia Systems Conference (Amherst, Massachusetts) (MMSys ’19). Association for Computing Machinery, New York, NY, USA, 165–174. https://doi.org/10.1145/3304109.3306227
[42]
G. Pierre and M. van Steen. 2006. Globule: a collaborative content delivery network. IEEE Communications Magazine 44, 8 (Aug 2006), 127–133. https://doi.org/10.1109/MCOM.2006.1678120
[43]
R. Protzmann, K. Massow, and I. Radusch. 2014. On performance estimation of prefetching algorithms for streaming content in automotive environments. In 2014 11th Annual Conference on Wireless On-demand Network Systems and Services (WONS). IEEE, Obergurgl, Austria, 147–147. https://doi.org/10.1109/WONS.2014.6814736
[44]
S. Retal, M. Bagaa, T. Taleb, and H. Flinck. 2017. Content delivery network slicing: QoE and cost awareness. In 2017 IEEE International Conference on Communications (ICC). IEEE, Paris, France, 1–6. https://doi.org/10.1109/ICC.2017.7996499
[45]
Antonis Sidiropoulos, George Pallis, Dimitrios Katsaros, Konstantinos Stamos, Athena Vakali, and Yannis Manolopoulos. 2008. Prefetching in content distribution networks via web communities identification and outsourcing. World Wide Web 11, 1 (2008), 39–70.
[46]
L. Sun, X. Wang, Z. Wang, H. Zhao, and W. Zhu. 2017. Social-Aware Video Recommendation for Online Social Groups. IEEE Transactions on Multimedia 19, 3 (March 2017), 609–618. https://doi.org/10.1109/TMM.2016.2635589
[47]
International Telecommunication Union. 2017. Minimum requirements related to technical performance for IMT-2020 radio interface. Report ITU-R M.2410-0. ITU, Geneva, Switzerland.
[48]
Varnish. 2020. Homepage. https://varnish-cache.org/docs/index.html last retrieved: January 27, 2020.
[49]
T. X. Vu, L. Lei, S. Vuppala, A. Kalantari, S. Chatzinotas, and B. Ottersten. 2018. Latency Minimization for Content Delivery Networks with Wireless Edge Caching. In 2018 IEEE International Conference on Communications (ICC). IEEE, Kansas City, MO, USA, 1–6. https://doi.org/10.1109/ICC.2018.8422142
[50]
Yichuan Wang, Xin Liu, David Chu, and Yunxin Liu. 2015. EarlyBird: Mobile Prefetching of Social Network Feeds via Content Preference Mining and Usage Pattern Analysis. In Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing (Hangzhou, China) (MobiHoc ’15). Association for Computing Machinery, New York, NY, USA, 67–76. https://doi.org/10.1145/2746285.2746312
[51]
S. Wee, J. Apostolopoulos, Wai-tian Tan, and S. Roy. 2003. Research and design of a mobile streaming media content delivery network. In 2003 International Conference on Multimedia and Expo. ICME ’03. Proceedings (Cat. No.03TH8698), Vol. 1. IEEE, Baltimore, MD, USA, I–5. https://doi.org/10.1109/ICME.2003.1220840
[52]
Mohammad Zarafshan-Araki and Kwan-Wu Chin. 2010. TrainNet: A transport system for delivering non real-time data. Computer Communications 33, 15 (2010), 1850 – 1863. https://doi.org/10.1016/j.comcom.2010.06.008
[53]
Guoqiang Zhang, Yang Li, and Tao Lin. 2013. Caching in information centric networking: A survey. Computer Networks 57, 16 (2013), 3128–3141. https://doi.org/10.1016/j.comnet.2013.07.007
[54]
S. Zhang, W. Quan, J. Li, W. Shi, P. Yang, and X. Shen. 2018. Air-Ground Integrated Vehicular Network Slicing With Content Pushing and Caching. IEEE Journal on Selected Areas in Communications 36, 9 (Sep. 2018), 2114–2127. https://doi.org/10.1109/JSAC.2018.2864425
[55]
Z. Zhao, L. Guardalben, M. Karimzadeh, J. Silva, T. Braun, and S. Sargento. 2018. Mobility Prediction-Assisted Over-the-Top Edge Prefetching for Hierarchical VANETs. IEEE Journal on Selected Areas in Communications 36, 8 (Aug 2018), 1786–1801. https://doi.org/10.1109/JSAC.2018.2844681
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June 2020
211 pages
ISBN:9781450379762
DOI:10.1145/3391614
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