2014
DOI: 10.1007/978-3-319-07941-7_24
|View full text |Cite
|
Sign up to set email alerts
|

Modeling of Video on Demand Systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
3
2

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 10 publications
0
2
0
Order By: Relevance
“…Stasiak [62] proposed an approximation method extending EIF to the case with multichannel traffic streams, where each request type may have its own service rate and seize multiple servers from the same group simultaneously. In [20] and [63], EIF-derived approximations were applied to blocking probability evaluation of video-on-demand systems; in particular, [63] considered the case where different videos have different availabilities. The technique was further extended in [64], [65] to support BPP (Binomial-Poisson-Pascal) arrival traffic.…”
Section: Erlang's Interconnection Formula and Extensionsmentioning
confidence: 99%
“…Stasiak [62] proposed an approximation method extending EIF to the case with multichannel traffic streams, where each request type may have its own service rate and seize multiple servers from the same group simultaneously. In [20] and [63], EIF-derived approximations were applied to blocking probability evaluation of video-on-demand systems; in particular, [63] considered the case where different videos have different availabilities. The technique was further extended in [64], [65] to support BPP (Binomial-Poisson-Pascal) arrival traffic.…”
Section: Erlang's Interconnection Formula and Extensionsmentioning
confidence: 99%
“…Until the 1980s, non-full-availability groups with single-service traffic were used in electromechanical switching nodes of telecommunications networks. With the advent of electronic nodes, groups of this type ceased to be used in their direct form, though they were, and still are, used in analytical models of more complex systems, such as, for example, single-and multiservice switching networks [16][17][18], network systems with reservation [19,20], systems with traffic overflow [21][22][23], video on demand (VoD) systems [24,25], or radio and Iub interfaces of the UMTS system [26][27][28]. One of the most extensive elaborations on non-full-availability groups is provided in the [29].…”
Section: Introductionmentioning
confidence: 99%