North Carolina State University (NCSU) researchers have developed a system that will enable large-scale, computer-hosting infrastructure providers to more accurately predict anomalies and address them before they become major problems.
"If you can predict an anomaly, you are able to track the exact conditions that are leading up to a problem, diagnose what is wrong, and put corrective actions into place much more quickly," says NCSU professor Xiaohui Gu. She says the anomalies can lead to slowed response times, lower user capacity, and host failures.
The researchers developed a collection of models that examine system activity in a variety of different contexts in order to accurately predict problems. "We were 50 percent more accurate at predicting anomalies than any existing programs, and had an 80 percent lower rate of false alarms," Gu says.
From NCSU News
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