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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

Официальный источник · 2010-12-20

Полные импортированные сведения карточки
{
  "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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    {
      "title_en": "Improving the Efficiency of Markov Chain Analysis of Complex Distributed Systems",
      "designation": "",
      "series": "",
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      "date": "2010-12-20",
      "date_original": "December 20, 2010",
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      "authors_en": "Christopher E. Dabrowski",
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