17a2cba819005e719aab · Predicting Global Failure Regimes in Complex Information Systems
Predicting Global Failure Regimes in Complex Information Systems
Over the past five years, we investigated methods to characterize global behavior in large distributed systems and applied those methods to predict effects from deploying alternate distributed control algorithms. The methods we used assess global behaviors
{
"title_en": "Predicting Global Failure Regimes in Complex Information Systems",
"designation": "",
"series": "",
"status": "",
"date": "2012-06-19",
"date_original": "June 19, 2012",
"url": "https://www.nist.gov/publications/predicting-global-failure-regimes-complex-information-systems",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Christopher E. Dabrowski , James J. Filliben , Kevin L. Mills",
"abstract_excerpt_en": "Over the past five years, we investigated methods to characterize global behavior in large distributed systems and applied those methods to predict effects from deploying alternate distributed control algorithms. The methods we used assess global behaviors",
"id": "17a2cba819005e719aab",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Predicting Global Failure Regimes in Complex Information Systems",
"designation": "",
"series": "",
"status": "",
"date": "2012-06-19",
"date_original": "June 19, 2012",
"url": "https://www.nist.gov/publications/predicting-global-failure-regimes-complex-information-systems",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Christopher E. Dabrowski , James J. Filliben , Kevin L. Mills",
"abstract_excerpt_en": "Over the past five years, we investigated methods to characterize global behavior in large distributed systems and applied those methods to predict effects from deploying alternate distributed control algorithms. The methods we used assess global behaviors"
}
],
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}