DASH Simulation Results
Last update: 2016-03-09 14:59 (UTC)
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100M_2014-1-7_apple_ratebased
100M_2014-1-7_netflix_ratebased
100M_2014-1-7_youtube_ratebased
100M_2014_1_6_apple_dashjs
100M_2014_1_6_apple_ratebased
100M_2014_1_6_netflix_dashjs
100M_2014_1_6_netflix_ratebased
100M_2014_1_6_optimal-100M-K24_ratebased
100M_2014_1_6_optimal-100M-K44_ratebased
100M_2014_1_6_youtube_dashjs
100M_2014_1_6_youtube_ratebased
200M_2014-1-7_apple_ratebased
200M_2014-1-7_netflix_ratebased
200M_2014-1-7_youtube_ratebased
200M_2014_1_6_apple_dashjs
200M_2014_1_6_apple_ratebased
200M_2014_1_6_netflix_dashjs
200M_2014_1_6_netflix_ratebased
200M_2014_1_6_optimal-200M-K24_ratebased
200M_2014_1_6_optimal-200M-K44_ratebased
200M_2014_1_6_youtube_dashjs
200M_2014_1_6_youtube_ratebased
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Details for 200M_2014_1_6_youtube_dashjs
Scenario Name:
200M_2014_1_6_youtube_dashjs
Simulated Time:
24 h
Requests Name:
2014-1-6
Bottleneck Link:
200M
Adaptation Logic:
dashjs
Representations:
youtube
Server Traces (ID=0)
Sample Tooltip
CanvasJS.com
Users over Time (for 2014-1-6)
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CanvasJS.com
Average Quality over Time
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CanvasJS.com
Average Throughput over Time
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CanvasJS.com
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(c) 2016 Christian Kreuzberger
Mpgyi
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