Scheduling policies for an on-demand video server with batching
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Channel allocation under batching and VCR control in video-on-demand systems
Journal of Parallel and Distributed Computing - Special issue on multimedia processing and technology
Scaling of multicast trees: comments on the Chuang-Sirbu scaling law
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Application-layer anycasting: a server selection architecture and use in a replicated Web service
IEEE/ACM Transactions on Networking (TON)
Analysis of educational media server workloads
NOSSDAV '01 Proceedings of the 11th international workshop on Network and operating systems support for digital audio and video
Selecting among replicated batching video-on-demand servers
NOSSDAV '02 Proceedings of the 12th international workshop on Network and operating systems support for digital audio and video
Server Selection Using Dynamic Path Characterization in Wide-Area Networks
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Analyzing client interactivity in streaming media
Proceedings of the 13th international conference on World Wide Web
Multicast protocols for scalable on-demand download
Performance Evaluation
Characterizing overlay multicast networks and their costs
IEEE/ACM Transactions on Networking (TON)
Scalable download protocols
On Optimal Batching Policies for Video-on-Demand Storage Servers
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Minimizing delivery cost in scalable streaming content distribution systems
IEEE Transactions on Multimedia
The measured performance of content distribution networks
Computer Communications
Multicast server selection: problems, complexity, and solutions
IEEE Journal on Selected Areas in Communications
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Video on demand, particularly with user-generated content, is emerging as one of the most bandwidth-intensive applications on the Internet. Owing to content control and other issues, some video-on-demand systems attempt to prevent downloading and peer-to-peer content delivery. Instead, such systems rely on server replication, such as via third-party content distribution networks, to support video streaming (or pseudostreaming) to their clients. A major issue with such systems is the cost of the required server resources. By synchronizing the video streams for clients that make closely spaced requests for the same video from the same server, server costs (such as for retrieval of the video data from disk) can be amortized over multiple requests. A fundamental trade-off then arises, however, with respect to server selection. Network delivery cost is minimized by selecting the nearest server, while server cost is minimized by directing closely spaced requests for the same video to a common server. This article compares classes of server selection policies within the context of a simple system model. We conclude that: (i) server selection using dynamic system state information (rather than only proximities and average loads) can yield large improvements in performance, (ii) deferring server selection for a request as late as possible (i.e., until just before streaming is to begin) can yield additional large improvements, and (iii) within the class of policies using dynamic state information and deferred selection, policies using only “local” (rather than global) request information are able to achieve most of the potential performance gains.