Abrégé

Managing execution of a workflow has a set of subworkflows. Optimizing the set of subworkflows using a deep neural network, each subworkflow of the set has a set of tasks. Each task of the sets has a requirement of resources of a set of resources; each task of the sets is enabled to be dependent on another task of the sets of tasks. Training the deep neural network by: executing the set of subworkflows, collecting provenance data from the execution, and collecting monitoring data that represents the state of said set of resources. Training causes the neural network to learn relationships between the states of the set of resources, the sets of tasks, their parameters and the obtained performance. Optimizing an allocation of resources to each task to ensure compliance with a user-defined quality metric based on the deep neural network output.

Classes IPC  ?

• G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
• G06N 3/02 - Réseaux neuronaux
• G06N 3/12 - Agencements informatiques fondés sur des modèles biologiques utilisant des modèles génétiques
• G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
• G06Q 10/0631 - Planification, affectation, distribution ou ordonnancement de ressources d’entreprises ou d’organisations

Abrégé

A method for data deduplication includes the following steps. First, segmenting an original data set into a plurality of data segments. Next, transforming the data in each data segment into a transformed data representation that has a band-type structure for each data segment. The band-type structure includes a plurality of bands. Next, selecting a first set of bands, grouping them together and storing them with the original data set. The first set of bands includes non-identical transformed data for each data segment. Next, selecting a second set of bands and grouping them together. The second set of bands includes identical transformed data for each data segment. Next, applying a hash function onto the transformed data of the second set of bands and thereby generating transformed data segments indexed by hash function indices. Finally, storing the hash function indices and the transformed data representation of one representative data segment in a deduplication database.

Classes IPC  ?

• G06F 12/14 - Protection contre l'utilisation non autorisée de mémoire
• G06F 21/00 - Dispositions de sécurité pour protéger les calculateurs, leurs composants, les programmes ou les données contre une activité non autorisée
• H04L 9/14 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité utilisant plusieurs clés ou algorithmes