TrustStream: A Secure and Scalable Architecture for Large-Scale Internet Media Streaming

被引:14
|
作者
Yin, Hao [1 ]
Lin, Chuang [1 ]
Zhang, Qian [2 ]
Chen, Zhijia [1 ]
Wu, Dapeng [3 ]
机构
[1] Tsinghua Univ, Dept Comp Sci, Beijing 100084, Peoples R China
[2] Hong Kong Univ Sci & Technol, Kowloon, Hong Kong, Peoples R China
[3] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
基金
中国国家自然科学基金;
关键词
Heterogeneity; QoS; scalability; security; streaming Media;
D O I
10.1109/TCSVT.2008.927000
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To effectively address the explosive growth of multimedia applications over the Internet, a large-scale media streaming system has to fully take into account the issues of security, quality of service (QoS), scalability, and heterogeneity. However, current streaming solutions do not address all these challenges simultaneously. To address this limitation, this paper proposes a secure and high-performance streaming system called TrustStream, which combines the best features of scalable coding, content distribution network (CDN) and peer-to-peer (P2P) networks to achieve unprecedented security, scalability, heterogeneity, and certain QoS simultaneously under a unified architecture. In this architecture, raw video is encoded into two layers, namely, the base layer, which contains the most critical media content and is transmitted through a CDN-featured single-source multi-receiver (S-M) P2P network to guarantee a minimal level of quality, and the enhancement layer, which is transmitted in a pure multi-source multi-receiver (M-M) P2P framework to achieve maximum scalability and bandwidth utilization. Heterogeneity is therefore addressed by delivering only the layers that a receiver is able to manage. Security is provided by combining our key distribution mechanism and key-embedding scheme under our proposed S-M P2P topology. We have implemented TrustStream system over the Internet. Deployed by ChinaCache, the largest CDN provider in China, TrustStream has broadcasted several popular live video programs over the Internet. The experimental results demonstrate the advantages and effectiveness of our architecture and system.
引用
收藏
页码:1692 / 1702
页数:11
相关论文
共 50 条
  • [41] LARGE-SCALE STREAMING MOTIONS IN THE LOCAL UNIVERSE
    MATHEWSON, DS
    FORD, VL
    ASTROPHYSICAL JOURNAL, 1994, 434 (02): : L39 - L42
  • [42] A P2P streaming architecture supporting scalable media
    Cruz, Rui Santos
    Nunes, Mario Serafim
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2015, 8 (05) : 758 - 776
  • [43] A P2P streaming architecture supporting scalable media
    Rui Santos Cruz
    Mário Serafim Nunes
    Peer-to-Peer Networking and Applications, 2015, 8 : 758 - 776
  • [44] Scalable Algorithms for Bayesian Inference of Large-Scale Models from Large-Scale Data
    Ghattas, Omar
    Isaac, Tobin
    Petra, Noemi
    Stadler, Georg
    HIGH PERFORMANCE COMPUTING FOR COMPUTATIONAL SCIENCE - VECPAR 2016, 2017, 10150 : 3 - 6
  • [45] Efficient Large-Scale Internet Media Selection Optimization for Online Display Advertising
    Paulson, Courtney
    Luo, Lan
    James, Gareth M.
    JOURNAL OF MARKETING RESEARCH, 2018, 55 (04) : 489 - 506
  • [46] A virtual gateway media access placement approach for large-scale Internet of Things
    Sotenga, Prosper Zanu
    Djouani, Karim
    Kurien, Anish Matthew
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2023, 209
  • [47] Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform
    Baskin, Chaim
    Zheltonozhskii, Evgenii
    Bronstein, Alex M.
    Mendelson, Avi
    Liss, Natan
    2018 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2018), 2018, : 162 - 169
  • [48] The Internet as a large-scale complex system
    Ruiz Espejo, Mariano
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 2007, 170 : 260 - 260
  • [49] Large-scale Offloading in the Internet of Things
    Flores, Huber
    Su, Xiang
    Kostakos, Vassilis
    Ding, Aaron Yi
    Nurmi, Petteri
    Tarkoma, Sasu
    Hui, Pan
    Li, Yong
    2017 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS), 2017,
  • [50] Towards Scalable Querying of Large-Scale Models
    Barmpis, Konstantinos
    Kolovos, Dimitrios S.
    MODELLING FOUNDATIONS AND APPLICATIONS, ECMFA 2014, 2014, 8569 : 35 - 50