Mazda A. Marvasti

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—Data-agnostic management of today's virtualized and cloud IT infrastructures motivates statistical inference from unstructured or semi-structured data. We introduce a universal approach to the determination of statistically relevant patterns in unstructured data, and then showcase its application to log data of a Virtual Center (VMware's virtualization(More)
—We examine the determination of abnormality of streamed data using the statistical structure of the meta-data associated with it. The vital need for such a subject within a heterogeneous log based environment in real-time comes from the fact that most cloud based applications will use text-based logging as a means of reporting application behavior. The(More)
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