Intel Corporation

Michael R Alton

Alan D Ross

Soila Pertet Kavulya

Grant Babb

Abolfazl Shahbazi

Todd Lisonbee

Apparatuses, methods and storage medium associated with techniques to identify suspicious network connections. In embodiments, an apparatus may include an analysis function to be operated by the one or more processors to receive a collection of network data records, and apply a latent factor model to the network data records to identify a subset of the network data records as suspicious network connections. Other embodiments may be disclosed or claimed.

Suspicious network traffic identification method and apparatus

An apparatus for optimizing a skewed join is described herein. The apparatus includes logic, at least partially including hardware logic, to determine that a dataset for the skewed join comprises a skewed key that does not fit in memory. The apparatus also includes logic to model the skewed join as a queue. The apparatus also includes logic to estimate a cost of the skewed join based on the modeled queue. The apparatus evaluates different join techniques, and partitioning strategies for the skewed join, and chooses the plan with the lowest cost.

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Portland, OR, United States of America

Michael R Alton