Inventor
GOTTIN VINÍCIUS MICHEL
BR25 patents
⚠️ This page may combine multiple inventors who share the name “GOTTIN VINÍCIUS MICHEL”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.
EMC IP HOLDING CO LLC
23 patentsUS10802975B2Oct 13, 2020
In-memory dataflow execution with dynamic placement of cache operations
EMC IP HOLDING CO LLC14 citations81
US11120174B1Sep 14, 2021
Methods and apparatus for evaluation of combinatorial processes using simulation and multiple parallel statistical analyses of real data
EMC IP HOLDING CO LLC7 citations80
US12159237B1Dec 3, 2024
Methods and apparatus for real-time anomaly detection over sets of time-series data
EMC IP HOLDING CO LLC5 citations74
US11176488B2Nov 16, 2021
Online anomaly detection using pairwise agreement in heterogeneous model ensemble
EMC IP HOLDING CO LLC4 citations72
US10871902B2Dec 22, 2020
Adaptive look-ahead configuration for prefetching data in input/output operations based on request size and frequency
EMC IP HOLDING CO LLC2 citations72
US10853718B2Dec 1, 2020
Predicting time-to-finish of a workflow using deep neural network with biangular activation functions
EMC IP HOLDING CO LLC4 citations72
US10592813B1Mar 17, 2020
Methods and apparatus for data operation pre-processing with probabilistic estimation of operation value
EMC IP HOLDING CO LLC3 citations72
US10409931B1Sep 10, 2019
Automatic combination of sub-process simulation results with dataset selection based on fitness under specific scenarios
EMC IP HOLDING CO LLC2 citations72
US11182321B2Nov 23, 2021
Sequentiality characterization of input/output workloads
EMC IP HOLDING CO LLC3 citations70
US11004025B1May 11, 2021
Simulation-based online optimization of workflows
EMC IP HOLDING CO LLC4 citations69
US11327801B2May 10, 2022
Initialization of resource allocation for a workload characterized using a regression model
EMC IP HOLDING CO LLC1 citations61
US11461145B2Oct 4, 2022
Building neural networks for resource allocation for iterative workloads using reinforcement learning
EMC IP HOLDING CO LLC0 citations51
US11301395B2Apr 12, 2022
Method and apparatus for characterizing workload sequentiality for cache policy optimization
EMC IP HOLDING CO LLC0 citations51
US11625285B2Apr 11, 2023
Assigning workloads in a multi-node processing environment using feedback from each node
EMC IP HOLDING CO LLC0 citations50
US11586474B2Feb 21, 2023
Adaptation of resource allocation for multiple workloads using interference effect of resource allocation of additional workloads on performance
EMC IP HOLDING CO LLC0 citations50
US11113171B2Sep 7, 2021
Early-convergence detection for online resource allocation policies for iterative workloads
EMC IP HOLDING CO LLC0 citations50
US11562223B2Jan 24, 2023
Deep reinforcement learning for workflow optimization
EMC IP HOLDING CO LLC0 citations49
US11138118B2Oct 5, 2021
Method and apparatus for dynamically adapting sizes of cache partitions in a partitioned cache
EMC IP HOLDING CO LLC0 citations49
US11263369B2Mar 1, 2022
Workflow simulation using provenance data similarity and sequence alignment
EMC IP HOLDING CO LLC0 citations47
US11119879B2Sep 14, 2021
Detection of resource bottlenecks in execution of workflow tasks using provenance data
EMC IP HOLDING CO LLC0 citations47
US10901782B2Jan 26, 2021
Dataflow execution time estimation for in-memory distributed processing framework
EMC IP HOLDING CO LLC0 citations47
US11868810B2Jan 9, 2024
Resource adaptation using nonlinear relationship between system performance metric and resource usage
EMC IP HOLDING CO LLC0 citations41
US10698821B2Jun 30, 2020
In-memory dataflow execution with dynamic placement of cache operations and action execution ordering
EMC IP HOLDING CO LLC0 citations37