NIST · ИТ · ef677722aec6bebf778d
Understanding the Correlation Structure of Network Traffic
This paper aims to improve current understanding of the correlation structure of traffic carried over large networks, such as the Internet. To achieve this aim we use simulation, adopting a methodology of homogenization to achieve a sufficiently large
NIST · ИТОфициальный источник · 2002-12-24
{
"title_en": "Understanding the Correlation Structure of Network Traffic",
"designation": "",
"series": "",
"status": "",
"date": "2002-12-24",
"date_original": "December 24, 2002",
"url": "https://www.nist.gov/publications/understanding-correlation-structure-network-traffic",
"source": "NIST Publications",
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"authors_en": "Kevin L. Mills , J Yuan",
"abstract_excerpt_en": "This paper aims to improve current understanding of the correlation structure of traffic carried over large networks, such as the Internet. To achieve this aim we use simulation, adopting a methodology of homogenization to achieve a sufficiently large",
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{
"title_en": "Understanding the Correlation Structure of Network Traffic",
"designation": "",
"series": "",
"status": "",
"date": "2002-12-24",
"date_original": "December 24, 2002",
"url": "https://www.nist.gov/publications/understanding-correlation-structure-network-traffic",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Kevin L. Mills , J Yuan",
"abstract_excerpt_en": "This paper aims to improve current understanding of the correlation structure of traffic carried over large networks, such as the Internet. To achieve this aim we use simulation, adopting a methodology of homogenization to achieve a sufficiently large"
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