Miao Jiang

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To estimate the effect of breastfeeding initiation and duration on child development outcomes. 3,271 children and their mothers participating in the Child Development Supplement of the Panel Study of Income Dynamics provide data for these analyses. Main outcomes include Woodcock Johnson Psycho-Educational Battery-Revised (WJ-R) test score (letter word,(More)
Correlations among management metrics in software systems allow errors to be detected and their cause localized. Prior research shows that linear models can capture many of these correlations. However, our research shows that several factors may prevent linear models from accurately describing correlations, even if the underlying relationship is linear. Two(More)
Management metrics of complex software systems exhibit stable correlations which can enable fault detection and diagnosis. Current approaches use specific analytic forms, typically linear, for modeling correlations. In this paper we use Normalized Mutual Information as a similarity measure to identify clusters of correlated metrics, without knowing the(More)
Stable correlation models are effective in detecting errors in complex software systems. However, most studies assume a specific mathematical form, typically linear, for the underlying correlations. In practice, more complex non-linear relationships exist between metrics. Moreover, most inter-metric correlations form clusters rather than simple pairwise(More)
Enterprise software systems (ESS) are becoming larger and increasingly complex. Failure in business-critical systems is expensive, leading to consequences such as loss of critical data, loss of sales, customer dissatisfaction, even law suits. Therefore, detecting failures and diagnosing their root-cause in a timely manner is essential. Many studies suggest(More)
Management metrics of complex software systems exhibit stable correlations which can enable fault detection and diagnosis. Current approaches use specific analytic forms, typically linear, for modeling correlations. In practice, more complex nonlinear relationships exist between metrics. Moreover, most intermetric correlations form clusters rather than(More)
Ensuring high availability, adequate performance, and proper operation of enterprise software systems requires continuous monitoring. Today, most systems operate with minimal monitoring, typically based on service-level objectives (SLOs). Detailed metric-based monitoring is often too costly to use in production, while tracing is prohibitively expensive.(More)
Enterprise software systems are large and complex with limited support for automated root-cause analysis. Avoiding system downtime and loss of revenue dictates a fast and efficient root-cause analysis process. Operator practice and academic research have shown that about 80% of failures in such systems have recurrent causes; therefore, significant(More)