a300c0ff77047749acb1 · Improving the Efficiency of Markov Chain Analysis of Complex Distributed Systems
Improving the Efficiency of Markov Chain Analysis of Complex Distributed Systems
In large-scale distributed systems, the interactions of many independent components may lead to emergent global behaviors with unforeseen, often detrimental, outcomes. The increasing importance of distributed systems such as clouds and computing grids will
{
"title_en": "Improving the Efficiency of Markov Chain Analysis of Complex Distributed Systems",
"designation": "",
"series": "",
"status": "",
"date": "2010-12-20",
"date_original": "December 20, 2010",
"url": "https://www.nist.gov/publications/improving-efficiency-markov-chain-analysis-complex-distributed-systems",
"source": "NIST Publications",
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"authors_en": "Christopher E. Dabrowski",
"abstract_excerpt_en": "In large-scale distributed systems, the interactions of many independent components may lead to emergent global behaviors with unforeseen, often detrimental, outcomes. The increasing importance of distributed systems such as clouds and computing grids will",
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{
"title_en": "Improving the Efficiency of Markov Chain Analysis of Complex Distributed Systems",
"designation": "",
"series": "",
"status": "",
"date": "2010-12-20",
"date_original": "December 20, 2010",
"url": "https://www.nist.gov/publications/improving-efficiency-markov-chain-analysis-complex-distributed-systems",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Christopher E. Dabrowski",
"abstract_excerpt_en": "In large-scale distributed systems, the interactions of many independent components may lead to emergent global behaviors with unforeseen, often detrimental, outcomes. The increasing importance of distributed systems such as clouds and computing grids will"
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