11a2c83e2fb240497bd2 · Toward Understanding of Metastability in Large-Scale Loss Networks with Mobile Users: Emergence and Implications for Performance
Toward Understanding of Metastability in Large-Scale Loss Networks with Mobile Users: Emergence and Implications for Performance
We investigate the behavior of a distributed server loss network with mobile users.While the Markov model provides an accurate ¿microscopic¿ model of the network behavior, the dimension of this model grows exponentially with the number of nodes precluding
{
"title_en": "Toward Understanding of Metastability in Large-Scale Loss Networks with Mobile Users: Emergence and Implications for Performance",
"designation": "",
"series": "",
"status": "",
"date": "2008-07-28",
"date_original": "July 28, 2008",
"url": "https://www.nist.gov/publications/toward-understanding-metastability-large-scale-loss-networks-mobile-users-emergence-and",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Vladimir V. Marbukh , Daniel I. Genin",
"abstract_excerpt_en": "We investigate the behavior of a distributed server loss network with mobile users.While the Markov model provides an accurate ¿microscopic¿ model of the network behavior, the dimension of this model grows exponentially with the number of nodes precluding",
"id": "11a2c83e2fb240497bd2",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Toward Understanding of Metastability in Large-Scale Loss Networks with Mobile Users: Emergence and Implications for Performance",
"designation": "",
"series": "",
"status": "",
"date": "2008-07-28",
"date_original": "July 28, 2008",
"url": "https://www.nist.gov/publications/toward-understanding-metastability-large-scale-loss-networks-mobile-users-emergence-and",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Vladimir V. Marbukh , Daniel I. Genin",
"abstract_excerpt_en": "We investigate the behavior of a distributed server loss network with mobile users.While the Markov model provides an accurate ¿microscopic¿ model of the network behavior, the dimension of this model grows exponentially with the number of nodes precluding"
}
],
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}