Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Delay-Aware Quality Optimization in Cloud-Assisted Video Streaming System

Delay-Aware Quality Optimization in Cloud-Assisted Video Streaming System Cloud-assisted video streaming has emerged as a new paradigm to optimize multimedia content distribution over the Internet. This article investigates the problem of streaming cloud-assisted real-time video to multiple destinations (e.g., cloud video conferencing, multi-player cloud gaming, etc.) over lossy communication networks. The user diversity and network dynamics result in the delay differences among multiple destinations. This research proposes <underline>D</underline>ifferentiated cloud-<underline>A</underline>ssisted <underline>VI</underline>deo <underline>S</underline>treaming (DAVIS) framework, which proactively leverages such delay differences in video coding and transmission optimization. First, we analytically formulate the optimization problem of joint coding and transmission to maximize received video quality. Second, we develop a quality optimization framework that integrates the video representation selection and FEC (Forward Error Correction) packet interleaving. The proposed DAVIS is able to effectively perform differentiated quality optimization for multiple destinations by taking advantage of the delay differences in cloud-assisted video streaming system. We conduct the performance evaluation through extensive experiments with the Amazon EC2 instances and Exata emulation platform. Evaluation results show that DAVIS outperforms the reference cloud-assisted streaming solutions in video quality and delay performance. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) Association for Computing Machinery

Delay-Aware Quality Optimization in Cloud-Assisted Video Streaming System

Download PDF
25 pages

Loading next page...
 
/lp/association-for-computing-machinery/delay-aware-quality-optimization-in-cloud-assisted-video-streaming-P18sAR8REd
Publisher
Association for Computing Machinery
Copyright
Copyright © 2017 ACM
ISSN
1551-6857
eISSN
1551-6865
DOI
10.1145/3152116
Publisher site
See Article on Publisher Site

Abstract

Cloud-assisted video streaming has emerged as a new paradigm to optimize multimedia content distribution over the Internet. This article investigates the problem of streaming cloud-assisted real-time video to multiple destinations (e.g., cloud video conferencing, multi-player cloud gaming, etc.) over lossy communication networks. The user diversity and network dynamics result in the delay differences among multiple destinations. This research proposes <underline>D</underline>ifferentiated cloud-<underline>A</underline>ssisted <underline>VI</underline>deo <underline>S</underline>treaming (DAVIS) framework, which proactively leverages such delay differences in video coding and transmission optimization. First, we analytically formulate the optimization problem of joint coding and transmission to maximize received video quality. Second, we develop a quality optimization framework that integrates the video representation selection and FEC (Forward Error Correction) packet interleaving. The proposed DAVIS is able to effectively perform differentiated quality optimization for multiple destinations by taking advantage of the delay differences in cloud-assisted video streaming system. We conduct the performance evaluation through extensive experiments with the Amazon EC2 instances and Exata emulation platform. Evaluation results show that DAVIS outperforms the reference cloud-assisted streaming solutions in video quality and delay performance.

Journal

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) – Association for Computing Machinery

Published: Dec 13, 2017

Keywords: Cloud-assisted video streaming

References

  • Visual Networking Index: Forecast and Methodology, 2015--2020
    Cisco,
  • CALMS: Cloud-assisted live media streaming for globalized demands with time/region diversities
    Wang, Feng; Liu, Jiangchuan; Chen, Minghua
  • Cloud mobile media: Reflections and outlook
    Wen, Yonggang; Zhu, Xiaoqing; Rodrigues, Joel; Chen, Chang Wen
  • Toward optimal deployment of cloud-assisted video distribution services
    He, Jian; Wu, Di; Zeng, Yupeng; Hei, Xiaojun; Wen, Yonggang
  • Design QoS-aware multi-path provisioning strategies for efficient cloud-assisted SVC video streaming to heterogeneous clients
    Zhu, Zuqing; Li, Suoheng; Chen, Xiaoliang
  • GamingAnywhere: The first open source cloud gaming system
    Huang, Chun-Ying; Chen, Kuan-Ta; Chen, De-Yu; Hsu, Hwai-Jung; Hsu, Cheng-Hsin
  • Cost-effective low-delay cloud video conferencing
    Hajiesmaili, Mohammad H.; Mak, Lok To; Wang, Zhi; Wu, Chuan; Chen, Minghua; Khonsari, Ahmad
  • Airlift: Video conferencing as a cloud service using inter-datacenter networks
    Feng, Yuan; Li, Baochun; Li, Bo
  • Inter-player Delay Optimization in Multiplayer Cloud Gaming
    Chen, Jian; Liu, Jiangchuan; Cui, Yong
  • Cachecast: Eliminating redundant link traffic for single source multiple destination transfers
    Srebrny, Piotr; Plagemann, Thomas; Goebel, Vera; Mauthe, Andreas
  • Smarttunnel: Achieving reliability in the internet
    Li, Yi; Zhang, Yin; Qiu, Lili; Lam, Simon
  • MPLOT: A transport protocol exploiting multipath diversity using erasure codes
    Sharma, Vicky; Kalyanaraman, Shivkumar; Kar, Koushik; Ramakrishnan, K. K.; Subramanian, Vijaynarayanan
  • One-way transmission time
    G., ITU-T Recommendation
  • Profiling skype video calls: Rate control and video quality
    Zhang, Xinggong; Xu, Yang; Hu, Hao; Liu, Yong; Guo, Zongming; Wang, Yao
  • FEC performance in multimedia streaming
    Frossard, Pascal
  • A decision-tree-based perceptual video quality prediction model and its application in FEC for wireless multimedia communications
    Hameed, Abdul; Dai, Rui; Balas, Benjamin
  • Adaptive-truncated-HARQ-aided layered video streaming relying on interlayer FEC coding
    Zhu, Chuan; Huo, Yongkai; Zhang, Bo; Zhang, Rong; El-Hajjar, Mohammed; Hanzo, Lajos
  • A Markov framework for error control techniques based on selective retransmission in video transmission over wireless channels
    Badia, Leonardo; Baldo, Nicola; Levorato, Marco; Zorzi, Michele
  • “Can you SEE me now?” A measurement study of mobile video calls
    Yu, Chenguang; Xu, Yang; Liu, Bo; Liu, Yong
  • Video telephony for end-consumers: measurement study of Google+, iChat, and Skype
    Xu, Yang; Yu, Chenguang; Li, Jingjiang; Liu, Yong
  • Optimal selection of adaptive streaming representations
    Toni, Laura; Aparicio-Pardo, Ramon; Pires, Karine; Simon, Gwendal; Blanc, Alberto; Frossard, Pascal
  • Capacity of a Burst-Noise Channel
    Gilbert, Edgar N.
  • Analysis of video transmission over lossy channels
    Stuhlmuller, Klaus; Farber, Niko; Link, Michael; Girod, Bernd
  • Congestion-distortion optimized video transmission over ad hoc networks
    Zhu, Xiaoqing; Setton, Eric; Girod, Bernd
  • Modeling full-length video using Markov-modulated Gamma-based framework
    Sarkar, Uttam K.; Ramakrishnan, Subramanian; Sarkar, Dilip
  • pathchirp: Efficient available bandwidth estimation for network paths
    Ribeiro, Vinay Joseph; Riedi, Rudolf H.; Baraniuk, Richard G.; Navratil, Jiri; Cottrell, Les
  • End-to-end differentiation of congestion and wireless losses
    Cen, Song; Cosman, Pamela C.; Voelker, Geoffrey M.
  • EXata Network Emulator Software
    EXata,
  • QualNet Network Simulator Software
    QualNet,
  • Packet-level traffic measurements from the Sprint IP backbone
    Fraleigh, Chuck; Moon, Sue; Lyles, Bryan; Cotton, Chase; Khan, Mujahid; Moll, Deb; Rockell, Rob; Seely, Ted; Diot, S. Christophe
  • Homepage
    FFmpeg,
  • Trading delay for distortion in one-way video communication over the internet
    Wu, Jiyan; Cheng, Bo; Yuen, Chau; Cheung, Ngai-Man; Chen, Junliang
  • Celerity: A low-delay multi-party conferencing solution
    Chen, Xiangwen; Chen, Minghua; Li, Baochun; Zhao, Yao; Wu, Yunnan; Li, Jin
  • “Perceptual visual quality metrics: A survey
    Lin, Weisi; Kuo, C.-C. Jay
  • Traversal Using Relays around NAT (TURN): Relay Extensions to Session Traversal Utilities of NAT (STUN)
    Mahy, Rohan; Matthews, Philip; Rosenberg, Jonathan
  • Compressed Video over Networks
    Sun, Ming-Ting
  • Homepage
    OpenFEC.,
  • An optimization framework for QoS-enabled adaptive video streaming over OpenFlow networks
    Egilmez, Hilmi E.; Civanlar, Seyhan; Tekalp, A. Murat
  • Demonstration of OpenFlow-Controlled Network Orchestration for Adaptive SVC Video Manycast
    Xue, Nana; Chen, Xiaoliang; Gong, Long; Li, Suoheng; Hu, Daoyun; Zhu, Zuqing
  • Practical, real-time centralized control for cdn-based live video delivery
    Mukerjee, Matthew K.; Naylor, David; Jiang, Junchen; Han, Dongsu; Seshan, Srinivasan; Zhang, Hui
  • Akamai investor summit
    Akamai,
  • Handling network uncertainty in heterogeneous wireless networks
    Oliveira, Talmai; Mahadevan, Srisudha; Agrawal, Dharma P.