International Business Machines Corporation

Kyndryl, Inc.

Mikael H Lindström

Kurt A Rybczyk

Daniela Kern Mainieri Trevisan

Nathan B Best

Mu Qiao

Daniela Trevisan

Alex R Martin

Data protection activity time in a backup environment can be predicted with a computer-implemented method. The method includes gathering datasets of data points from a range of backup components of a backup system and constructing input features for a predictive machine learning model, where the input features relate to backup parameters of the backup system. The method also includes training the predictive machine learning model to predict data protection activity times for the backup system by using the gathered datasets and applying the input features to the model. The method also includes deploying the trained predictive machine learning model to predict a data protection activity time of a backup system formed of a set of the backup components.

Prediction of a data protection activity time for a backup environment

A specification of a target network environment including target devices is received. The specification includes an identity of each of the target devices and a compression feature requirement, a deduplication feature requirement, and an encryption feature requirement of the target network environment. A performance parameter corresponding to each of the requirements is computed based on the specification. Possible combinations of the target devices and enabled features in the target devices are determined to meet the specification. Each possible combination is compared to a knowledge base to determine a performance reduction for each of the enabled features based upon the performance parameters. A desired combination of the enabled features is determined from the possible combinations for each target device based upon the comparison. The desired combination includes a combination having a performance reduction that does not exceed a threshold value for data reduction in one or more enabled features.

Optimizing data reduction, security and encryption requirements in a network environment

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Sollentuna, Sweden

Mikael H Lindström