International Business Machines Corporation

Asmahan Ali

Abhishek Jain

Sarbajit Kumar Rakshit

Sasikanth Eda

Amey P Gokhale

Daniel De Souza Casali

Pidad G D'Souza

Diane Gyesoon Chung

Mustafa Mah

A method, system, and computer program product for context relevant data migration to a cloud server with job rescheduling are provided. The method identifies a contextual situation associated with at least a portion of data sets available for migration to a cloud server by a set of data sources. The method identifies an application associated with the contextual situation. A set of use characteristics are determined for the data sets based on the contextual situation and the application. Bandwidths are determined for one or more data sources. One or more data sets are selected for prioritization based on a contextual relevance, the set of use characteristics, and the bandwidths for the one or more data sources. The method schedules a job processing sequence of the selected one or more data sets based, at least in part, on the contextual relevancy, the set of use characteristics, and the bandwidths.

Context relevant data migration and job rescheduling

A computer-implemented method (CIM), according to one embodiment, includes causing a policy engine to monitor metrics. The metrics include use of a first storage pool of a data storage system, and the first storage pool has relatively faster performance than a second storage pool. The method includes causing the policy engine to dynamically predict users that are likely to use the system. The predicted users are dynamically categorized according to a category of user that does not create any files of at least a predetermined large size, a category of user that creates at least some but less than a predetermined number of files of at least the predetermined large size, and a category of user that creates at least the predetermined number of files of at least the predetermined large size. The method includes dynamically assigning files of the predicted users to storage pools, based on the dynamic categorizations.

Intelligent co-relation of file system and applications events to derive adaptive file system policies

Provided is a computer-implemented method, system, and computer program product for predictive service orchestration using threat modeling analytics. A processor may identify a plurality of attributes of a client computing environment. The processor may collect threat modeling content for a plurality of vendor computing environments. The processor may analyze the threat modeling content for the plurality of vendor computing environments. The processor may compare the analyzed threat modeling content for the plurality of vendor computing environments with the plurality of attributes of the client computing environment. The processor may generate, based on the comparing, a client threat model for the client computing environment.

Predictive service orchestration using threat modeling analytics

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Poughkeepsie, NY, United States of America

Asmahan Ali