Invention Grant
- Patent Title: Automatically self-learning bidirectional synchronization of a source system and a target system
-
Application No.: US14082548Application Date: 2013-11-18
-
Publication No.: US10402744B2Publication Date: 2019-09-03
- Inventor: Ajay K. Behuria , James E. Bostick , John M. Ganci, Jr. , Souvik Majumdar , Shuvamoy Saha , David S. Wenk
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Busniess Machines Corporation
- Current Assignee: International Busniess Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Schmeiser, Olsen & Watts
- Agent Michael A. Petrocelli
- Main IPC: G06F16/27
- IPC: G06F16/27 ; G06N20/00 ; G06F16/178

Abstract:
A method and associated system for an automatically self-learning audit of a bidirectional synchronization means for synchronizing a source system and a target system. A processor identifies a mismatch between an element of production data of the source system and an analogous production-data element of the target system. If the mismatch is caused by an issue known to the synchronization means, the processor takes corrective action known to resolve the mismatch. Otherwise, the processor attempts to identify a resolution and, if successful, applies the resolution, teaches the resolution to the synchronization mechanism, records the solution, and resends data from the correct system to the incorrect system. If unable to identify a resolution, the processor implements a next-best solution that allows continued operation despite the unresolved mismatch. The processor then generates a report of the mismatch and continues searching for other mismatches in the loaded data models.
Public/Granted literature
- US20150142719A1 AUTOMATICALLY SELF-LEARNING BIDIRECTIONAL SYNCHRONIZATION OF A SOURCE SYSTEM AND A TARGET SYSTEM Public/Granted day:2015-05-21
Information query