2007
DOI: 10.1109/icact.2007.358742
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d-Cast : A Division Based Broadcasting System for IP Networks

Abstract: Due to the recent prevalence of the Internet, broadcasting continuous media data, e.g., audio and video, on the IP (Internet Protocol) networks has attracted great attention. In broadcasting systems, generally, a server broadcasts the same data repetitively. Although the server can deliver the data to many clients concurrently, clients have to wait until their desired data are broadcast. To reduce the waiting time, several researches employ a division based broadcasting system, which reduces the waiting time b… Show more

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Cited by 14 publications
(7 citation statements)
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“…However, most scheduling methods calculate the waiting time by computational simulation. To evaluate the scheduling method in actual network, a division based broadcasting system d-Cast [1] have been proposed.…”
Section: A Problems In D-castmentioning
confidence: 99%
See 1 more Smart Citation
“…However, most scheduling methods calculate the waiting time by computational simulation. To evaluate the scheduling method in actual network, a division based broadcasting system d-Cast [1] have been proposed.…”
Section: A Problems In D-castmentioning
confidence: 99%
“…We have been proposed a division based broadcasting system "d-Cast" [1], which can evaluate scheduling methods in network environments. However, d-Cast does not consider the case where clients start receiving several types of data concurrently using several channels.…”
Section: Introductionmentioning
confidence: 99%
“…• Methods that use broadcasting By making a broadcast schedule which can simultaneously finish receiving the next piece of partitioned data when it has finished playing the present piece of partitioned data, the interruption time can be reduced [1], [2]. By using broadcasting, data can be concurrently delivered to several playback nodes and the server load can be reduced.…”
Section: Introductionmentioning
confidence: 97%
“…• Methods using broadcasting By making a broadcast schedule that can simultaneously finish receiving the next piece of partitioned data when it has finished playing the present piece, interruption time can be reduced [7], [8]. By using broadcasting, data can be concurrently delivered to several playback nodes to reduce the server load.…”
Section: Introductionmentioning
confidence: 98%