Patents by Inventor Michael R. Alton

Michael R. Alton has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Suspicious network traffic identification method and apparatus
    Patent number: 10609053
    Abstract: 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.
    Type: Grant
    Filed: March 30, 2016
    Date of Patent: March 31, 2020
    Assignee: Intel Corporation
    Inventors: Michael R. Alton, Grant Babb, Alan D. Ross
  • Optimizing skewed joins in big data
    Patent number: 10585889
    Abstract: 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.
    Type: Grant
    Filed: December 23, 2015
    Date of Patent: March 10, 2020
    Assignee: Intel Corporation
    Inventors: Soila P. Kavulya, Michael R. Alton, Abolfazl Shahbazi, Todd Lisonbee
  • Optimizing skewed joins in big data
    Publication number: 20170185648
    Abstract: 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.
    Type: Application
    Filed: December 23, 2015
    Publication date: June 29, 2017
    Inventors: Soila P. Kavulya, Michael R. Alton, Abolfazl Shahbazi, Todd Lisonbee
  • SUSPICIOUS NETWORK TRAFFIC IDENTIFICATION METHOD AND APPARATUS
    Publication number: 20170149812
    Abstract: 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.
    Type: Application
    Filed: March 30, 2016
    Publication date: May 25, 2017
    Inventors: Michael R. Alton, Grant Babb, Alan D. Ross