NIST · ИТ · 83028e1d28163b1bb3ea
Towards Understanding Complex Communication Networks: Performance, Phase Transitions and Control
Micro dynamics of large-scale communication networks is often described by a Markov process with a large number of locally interacting components. Due to astronomically high number of the Markov process states even for moderate-size networks, finding the
NIST · ИТОфициальный источник · 2007-06-13
{
"title_en": "Towards Understanding Complex Communication Networks: Performance, Phase Transitions and Control",
"designation": "",
"series": "",
"status": "",
"date": "2007-06-13",
"date_original": "June 13, 2007",
"url": "https://www.nist.gov/publications/towards-understanding-complex-communication-networks-performance-phase-transitions-and",
"source": "NIST Publications",
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"authors_en": "Vladimir V. Marbukh",
"abstract_excerpt_en": "Micro dynamics of large-scale communication networks is often described by a Markov process with a large number of locally interacting components. Due to astronomically high number of the Markov process states even for moderate-size networks, finding the",
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{
"title_en": "Towards Understanding Complex Communication Networks: Performance, Phase Transitions and Control",
"designation": "",
"series": "",
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"date": "2007-06-13",
"date_original": "June 13, 2007",
"url": "https://www.nist.gov/publications/towards-understanding-complex-communication-networks-performance-phase-transitions-and",
"source": "NIST Publications",
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"authors_en": "Vladimir V. Marbukh",
"abstract_excerpt_en": "Micro dynamics of large-scale communication networks is often described by a Markov process with a large number of locally interacting components. Due to astronomically high number of the Markov process states even for moderate-size networks, finding the"
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