US 11,843,501 B2
Parity drift detection in cloud computing systems
Anthony James Perez, Kirkland, WA (US); George Kim, Fairfax, VA (US); John Ryan Park, Fairfax, VA (US); Christian Michael Laney, Kirkland, WA (US); Steven Michael Sternberg, Upper Marlboro, MD (US); Eugene H. Kim, Bellevue, WA (US); Parvez Anandam, Seattle, WA (US); and Thomas Stanislaw Rogan, IV, Renston, VA (US)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on May 13, 2022, as Appl. No. 17/744,142.
Prior Publication US 2023/0370321 A1, Nov. 16, 2023
Int. Cl. H04L 41/0604 (2022.01); H04L 41/50 (2022.01); H04L 41/0677 (2022.01)
CPC H04L 41/0627 (2013.01) [H04L 41/0677 (2013.01); H04L 41/5032 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for detecting instances of parity drift in cloud computing systems, comprising:
receiving, at a target cloud computing system and from a reference cloud computing system, a job package comprising a query set and a reference data set generated by running the query set on the reference cloud computing system;
in response to receiving the job package, generating, at the target cloud computing system, a target data set by running the query set from the job package on the target cloud computing system;
determining, at the target cloud computing system, parity scores based on the job package stored on the target cloud computing system comprising the query set, the reference data set, and the target data set; and
providing, by the target cloud computing system, one or more parity alerts based on the parity scores.