US 11,930,390 B2
Intent-driven network analytics for predictive network slice management
Ronald Mark Parker, Manchester, MA (US); Michael Anthony Brown, McKinney, TX (US); Bahareh Sadeghi, Vancouver, WA (US); and Mark Gordon Libby, Groton, MA (US)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on May 10, 2022, as Appl. No. 17/741,026.
Prior Publication US 2023/0370887 A1, Nov. 16, 2023
Int. Cl. H04W 28/02 (2009.01); H04L 5/00 (2006.01)
CPC H04W 28/0242 (2013.01) [H04L 5/0064 (2013.01); H04L 5/0071 (2013.01); H04L 5/0076 (2013.01); H04W 28/0289 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method of network configuration, comprising:
receiving, at a network management function, an intent for a network slice constituent;
configuring computing resources for the network slice constituent to satisfy the intent based on expected performance of the computing resources;
receive feedback with respect to actual performance of the network slice constituent;
determining, based on analysis of the feedback by a management data analytics function (MDAF), a predicted deficiency of the network slice constituent not being able to satisfy the intent, wherein the predicted deficiency is with respect to a constraint on a cost or efficiency of the intent; and
modifying the configuration of the computing resources based on the feedback and the predicted deficiency to satisfy the intent, wherein modifying the configuration of the computing resources comprises reducing an allocation of computing resources to satisfy the intent at a lower cost.