Design and analysis of permutation-based pyramid broadcasting

被引:0
|
作者
Charu C. Aggarwal
Joel L. Wolf
Philip S. Yu
机构
[1] IBM T.J. Watson Research Center,
[2] Yorktown Heights,undefined
[3] NY 10598,undefined
[4] USA ,undefined
来源
Multimedia Systems | 1999年 / 7卷
关键词
Key words:Broadcasting – Video-on-demand – Pyramid schemes;
D O I
暂无
中图分类号
学科分类号
摘要
Periodic broadcasting can be used to support near-video-on-demand for popular videos. For a given bandwidth allocation, pyramid broadcasting schemes substantially reduce the viewer latency (waiting) time compared to conventional broadcasting schemes. Nevertheless, such pyramid schemes typically have substantial storage requirements at the client end, and this results in set-top boxes needing disks with high transfer rate capabilities. In this paper, we present a permutation-based pyramid scheme in which the storage requirements and disk transfer rates are greatly reduced, and yet the viewer latency is also smaller. Under the proposed approach, each video is partitioned into contiguous segments of geometrically increasing sizes, and each segment is further divided into blocks, where a block is the basic unit of transmission. As in the original pyramid scheme, frequencies of transmission for the different segments of a video vary in a manner inversely proportional to their size. Instead of transmitting the blocks in each segment in sequential order, the proposed scheme transmits these blocks in a prespecified cyclic permutation to save on storage requirements in the client end. Performance analyses are provided to quantify the benefits of the new scheme.
引用
收藏
页码:439 / 448
页数:9
相关论文
共 50 条
  • [31] Permutation-based Causal Inference Algorithms with Interventions
    Wang, Yuhao
    Solus, Liam
    Yang, Karren Dai
    Uhler, Caroline
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), 2017, 30
  • [32] Permutation-Based Hypothesis Testing for Neural Networks
    Mandel, Francesca
    Barnett, Ian
    THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 13, 2024, : 14306 - 14314
  • [33] Permutation-based tests for discontinuities in event studies
    Bugni, Federico A.
    Li, Jia
    Li, Qiyuan
    QUANTITATIVE ECONOMICS, 2023, 14 (01) : 37 - 70
  • [34] Employing GPU architectures for permutation-based indexing
    Martin Kruliš
    Hasmik Osipyan
    Stéphane Marchand-Maillet
    Multimedia Tools and Applications, 2017, 76 : 11859 - 11887
  • [35] A fast permutation-based algorithm for block clustering
    Llatas, I
    Quiroz, AJ
    Renom, JM
    TEST, 1997, 6 (02) : 397 - 418
  • [36] A simple permutation-based test of intermodal correspondence
    Weinstein, Sarah M.
    Vandekar, Simon N.
    Adebimpe, Azeez
    Tapera, Tinashe M.
    Robert-Fitzgerald, Timothy
    Gur, Ruben C.
    Gur, Raquel E.
    Raznahan, Armin
    Satterthwaite, Theodore D.
    Alexander-Bloch, Aaron F.
    Shinohara, Russell T.
    HUMAN BRAIN MAPPING, 2021, 42 (16) : 5175 - 5187
  • [37] On Generalizing Permutation-Based Representations for Approximate Search
    Vadicamo, Lucia
    Gennaro, Claudio
    Amato, Giuseppe
    SIMILARITY SEARCH AND APPLICATIONS, SISAP 2021, 2021, 13058 : 66 - 80
  • [38] Permutation-based time irreversibility in epileptic electroencephalograms
    Wenpo Yao
    Jiafei Dai
    Matjaž Perc
    Jun Wang
    Dezhong Yao
    Daqing Guo
    Nonlinear Dynamics, 2020, 100 : 907 - 919
  • [39] Security/efficiency tradeoffs for permutation-based hashing
    Rogaway, Phillip
    Steinberger, John
    ADVANCES IN CRYPTOLOGY - EUROCRYPT 2008, 2008, 4965 : 220 - +
  • [40] PAEQ: Parallelizable permutation-based authenticated encryption
    Biryukov, Alex (alex.biryukov@uni.lu), 1600, Springer Verlag (8783):