US 12,407,406 B2
Transit routes with orbital edge computing resource availability for mobile edge computing consumption points
Shailendra Moyal, Pune (IN); Venkata Vara Prasad Karri, Visakhapatnam (IN); and Sarbajit K. Rakshit, Kolkata (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Feb. 22, 2022, as Appl. No. 17/651,940.
Prior Publication US 2023/0268987 A1, Aug. 24, 2023
Int. Cl. H04B 7/185 (2006.01); G06N 20/00 (2019.01)
CPC H04B 7/18519 (2013.01) [G06N 20/00 (2019.01); H04B 7/18513 (2013.01); H04B 7/18578 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method (CIM) comprising:
receiving an edge computing satellite dataset including information indicative of (i) orbital information of a plurality of edge computing satellites devices in orbit around Earth, and (ii) edge computing capabilities of the plurality of edge computing satellite devices;
receiving a plurality of edge computing mobile consumption point datasets corresponding to a plurality of edge computing mobile consumption points, including a first edge computing mobile consumption point, where a given edge computing mobile consumption point dataset includes (i) transit information for the given edge computing mobile consumption point, and (ii) edge computing requirements of the given edge computing mobile consumption point;
determining, by machine logic, a predicted edge computing resources availability dataset corresponding to predicted availability of edge computing resources of the plurality of edge computing satellite devices based, at least in part, on: (i) the edge computing satellite dataset, and (ii) the plurality of edge computing mobile consumption point datasets; and
determining, by machine logic, a transit route from a current location of the first edge computing mobile consumption point to a destination location of the first edge computing mobile consumption point based, at least in part, on (i) the transit information of the first edge computing mobile consumption point, (ii) the edge computing requirements of the first edge computing mobile consumption point, and (iii) the predicted edge computing resources availability dataset.