US 12,326,800 B2
Data transformation for acceleration of context migration in interactive computing notebooks
Lucas Correia Villa Real, São Paulo (BR); Renato Luiz de Freitas Cunha, São Paulo (BR); Renan Francisco Santos Souza, Rio de Janeiro (BR); and Marco Aurelio Stelmar Netto, São Paulo (BR)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Feb. 28, 2022, as Appl. No. 17/683,279.
Claims priority of provisional application 63/222,902, filed on Jul. 16, 2021.
Prior Publication US 2023/0012543 A1, Jan. 19, 2023
Int. Cl. G06F 11/3604 (2025.01); G06F 8/30 (2018.01); G06F 11/34 (2006.01)
CPC G06F 11/3604 (2013.01) [G06F 8/30 (2013.01); G06F 11/3438 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A computing device comprising:
a processor;
a network interface coupled to the processor to enable communication over a network;
a storage device for content and programming coupled to the processor;
a migration engine stored in the storage device, wherein an execution of the engine by the processor configures a user device to perform acts comprising:
monitoring user actions in an interactive computing notebook of a source code development environment using notebook fragments, wherein user actions with the interactive computing notebook include, modifying and/or executing the notebook fragments of a source code project;
subsequent to the monitoring:
determining a content of each notebook fragment, wherein the content comprises determining whether the notebook fragment is a hot spot to be transformed to a new execution environment and/or determining the type of data in the notebook fragment, wherein determining whether the fragment is a hot spot is based on a user execution count of the notebook fragment being above a threshold;
determining a development phase of the source code project based at least on the monitored user actions;
determining a fidelity of the determined hot spots to be transformed to a new execution environment based on the monitored user actions and the determined development phase, wherein the fidelity is determined to be high fidelity if the fidelity is above a threshold;
determining that a new execution environment is warranted based on the determined fidelity of the determined hotspots being above a threshold;
wherein upon determining that a new execution environment is warranted:
determining a set of data transformations for data reduction of the determined hot spots, wherein the higher the fidelity the more aggressive data transformations are determined for the data reduction;
performing data transformations on the determined hot spots based on the determined set of data transformations;
selecting the new execution environment for the determined hot spots; and
executing the one or more notebook fragments of the determined hot spots in the new execution environment.