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		<updated>2026-04-22T03:33:43Z</updated>
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		<title>Scipediacontent: Scipediacontent moved page Draft Content 309457262 to Aripov 2019a</title>
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				<updated>2021-02-02T05:06:47Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_309457262&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 309457262&quot;&gt;Draft Content 309457262&lt;/a&gt; to &lt;a href=&quot;/public/Aripov_2019a&quot; title=&quot;Aripov 2019a&quot;&gt;Aripov 2019a&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 05:06, 2 February 2021&lt;/td&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
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		<title>Scipediacontent: Created page with &quot; == Abstract ==  This paper studies the statistical nature of TV channels streaming variable bit rate distribution and allocation. The goal of the paper is to derive the best-...&quot;</title>
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				<updated>2021-02-02T05:06:38Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  This paper studies the statistical nature of TV channels streaming variable bit rate distribution and allocation. The goal of the paper is to derive the best-...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
This paper studies the statistical nature of TV channels streaming variable bit rate distribution and allocation. The goal of the paper is to derive the best-fit rate distribution to describe TV streaming bandwidth allocation, which can reveal traffic demands of users. Our analysis uses multiplexers channel bandwidth allocation (PID) data of 13 TV live channels. We apply 17 continuous and 3 discrete distributions to determine the best-fit distribution function for each individual channel and for the whole set of channels. We found that the generalized extreme distribution fitting most of our channels most precisely according to the Bayesian information criterion. By the same criterion tlocationscale distribution matches best for the whole system. We use these results to propose parameters for streaming server queuing model. Results are useful for streaming servers scheduling policy design process targeting to improve limited infrastructural resources, traffic engineering through dynamic routing at CDN, SDN.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [http://arxiv.org/abs/1907.07645 http://arxiv.org/abs/1907.07645]&lt;br /&gt;
&lt;br /&gt;
* [http://dx.doi.org/10.5121/csit.2019.90716 http://dx.doi.org/10.5121/csit.2019.90716]&lt;br /&gt;
&lt;br /&gt;
* [https://doi.org/10.5121/csit.2019.90716 https://doi.org/10.5121/csit.2019.90716]&lt;br /&gt;
&lt;br /&gt;
* [https://dblp.uni-trier.de/db/journals/corr/corr1907.html#abs-1907-07645 https://dblp.uni-trier.de/db/journals/corr/corr1907.html#abs-1907-07645],&lt;br /&gt;
: [https://arxiv.org/abs/1907.07645 https://arxiv.org/abs/1907.07645],&lt;br /&gt;
: [https://ui.adsabs.harvard.edu/abs/2019arXiv190707645A/abstract https://ui.adsabs.harvard.edu/abs/2019arXiv190707645A/abstract],&lt;br /&gt;
: [http://arxiv.org/pdf/1907.07645.pdf http://arxiv.org/pdf/1907.07645.pdf],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2961555645 https://academic.microsoft.com/#/detail/2961555645]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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