MPEG: a video compression standard for multimedia applications
Communications of the ACM - Special issue on digital multimedia systems
Dynamic batching policies for an on-demand video server
Multimedia Systems
Smoothing variable-bit-rate video in an Internetwork
IEEE/ACM Transactions on Networking (TON)
Video staging: a proxy-server-based approach to end-to-end video delivery over wide-area networks
IEEE/ACM Transactions on Networking (TON)
Efficient transmission of stored video for improved management of network bandwidth
International Journal of Network Management
A generalized interval caching policy for mixed interactive and long video workloads
Readings in multimedia computing and networking
Hierarchical Storage Management in a Distributed VOD System
IEEE MultiMedia
Minimizing Bandwidth Requirements for On-Demand Data Delivery
IEEE Transactions on Knowledge and Data Engineering
Efficient Algorithms for Optimal Stream Merging for Media-on-Demand
SIAM Journal on Computing
Convergence of periodic broadcasting and video-on-demand
Computer Communications
Video-on-Demand Network Design and Maintenance Using Fuzzy Optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Cable access beyond the hype: on residential broadband data services over HFC networks
IEEE Communications Magazine
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In this paper, we study how to distribute storage capacity along a hierarchical system with cache-servers located at each node. This system is intended to deliver stored video streams in a video-on-demand way, ensuring that, once started, a transmission will be completed without any delay or quality loss. We use off-line smoothing for videos, dividing them into CBR video parts. Also, our request rates are distributed following a 24h audience curve. In this system, when a request is received, the server reserves the required bandwidth at the required time slots, trying to serve the video as soon as possible. We perform a detailed analysis by means of simulations of the start-up time delay for some storage distributions. It shows that an adequate storage distribution can increase performance about 25% with respect to a uniform distribution and about 47% with respect to one in which all the storage is attached to the gateway routers that connect the final users. We also analyze bandwidth usage, comparing the behavior of these storage distributions. Finally, we present a method which allows dynamic and transparent video reallocations when their popularity changes.