Neighbors-buffering-based video-on-demand architecture

被引:19
|
作者
Taleb, T [1 ]
Kato, N [1 ]
Nemoto, Y [1 ]
机构
[1] Tohoku Univ, Grad Sch Informat Sci, Aoba Ku, Sendai, Miyagi 9808579, Japan
关键词
video-on-demand systems; multicasting; scalability;
D O I
10.1016/S0923-5965(03)00039-0
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
Since the number of Internet users is rapidly increasing day by day and even the most powerful server system will always be resource limited, one of the challenges faced by video-on-demand system designers is how to configure a system that can support a potentially large number of customers and a large multimedia library to satisfy users' needs at affordable rates. In this paper, we propose an approach to provide a significantly scalable video-on-demand service in a multicast environment. The basic idea is to repeatedly transmit popular movies on staggered channels. If a request comes in between staggered start times, the user joins to the most recently started multicast session and then requests the missing part from a nearby neighbor. The user must have enough buffer space to buffer data between staggered transmissions. We refer to our proposed architecture as Neighbors-Buffering Based Video-on-Demand (NBB-VoD) architecture. Analytical results show that our proposal achieves a better performance than the already existing systems (True-VoD, Near-VoD, and Unified-VoD) in terms of both scalability and disk-bandwidth requirements. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:515 / 526
页数:12
相关论文
共 50 条
  • [21] Video-on-Demand System Architecture with ALTO-SDN Integration
    Cetinkaya, Cihat
    Sayit, Muge
    2016 IEEE INTERNATIONAL BLACK SEA CONFERENCE ON COMMUNICATIONS AND NETWORKING (BLACKSEACOM), 2016,
  • [22] Study of a server-less architecture for video-on-demand applications
    Lee, JYB
    Leung, RWT
    IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL I AND II, PROCEEDINGS, 2002, : 233 - 236
  • [23] System architecture for middle-scale video-on-demand services
    Kimiyama, H
    Nishimura, K
    Matsuda, C
    Nakano, H
    STORAGE AND RETRIEVAL FOR STILL IMAGE AND VIDEO DATABASES IV, 1996, 2670 : 266 - 273
  • [24] Video-on-demand server
    Eggenhuisen, H
    vanLoo, S
    PHILIPS JOURNAL OF RESEARCH, 1996, 50 (1-2) : 201 - 208
  • [25] Balanced dynamic buffering for scalable video-on-demand streaming on peer-to-peer networks
    Chow-Sing Lin
    Multimedia Tools and Applications, 2013, 62 : 701 - 718
  • [26] A DAVIC Video-on-Demand system based on the RTSP
    Jee, C
    Shin, KG
    2001 SYMPOSIUM ON APPLICATIONS AND THE INTERNET, PROCEEDINGS, 2001, : 231 - 238
  • [27] The Research of video format conversion based on educational video-on-demand
    Wan, Fei
    Dai, Yi
    PROCEEDINGS OF THE 2016 INTERNATIONAL FORUM ON MANAGEMENT, EDUCATION AND INFORMATION TECHNOLOGY APPLICATION, 2016, 47 : 478 - 484
  • [29] Strategies to mitigate the cannibalization effect between subscription video-on-demand and transactional video-on-demand
    Baek, Hyunmi
    Jang, Moonkyoung
    Kim, Seongcheol
    DIGITAL BUSINESS, 2024, 4 (01):
  • [30] Hybrid video-on-demand systems using dynamic channel allocation architecture
    Lee, S
    Park, S
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2005, E88B (07) : 3036 - 3046