公开(公告)号：US20250077498A1

公开(公告)日：2025-03-06

申请号：US18823437

申请日：2024-09-03

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Ashton Hudson ,  Pierre Hugo ,  Charl Cater ,  Leonard Botha

IPC: G06F16/22 ,  H03M7/30

Abstract: In certain embodiments, a method includes recursively performing a procedure that includes using an allowed set of object identifiers and a hash function to update a bit array, using a disallowed set of object identifiers and the hash function to further update the bit array where collisions occur, repeating the process with a new allowed set that includes object identifiers from the original allowed set that collided with the disallowed set and a new hash function, until reaching a round where no collisions occurred, generating a data structure that includes the bit arrays created during each recursive round, and compressing the data structure.

公开(公告)号：US12105691B1

公开(公告)日：2024-10-01

申请号：US18461128

申请日：2023-09-05

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Ashton Hudson ,  Pierre Hugo ,  Charl Cater ,  Leonard Botha

IPC: G06F16/22 ,  H03M7/30

CPC classification number: G06F16/2255 ,  H03M7/702

Abstract: In certain embodiments, a method includes recursively performing a procedure that includes using an allowed set of object identifiers and a hash function to update a bit array, using a disallowed set of object identifiers and the hash function to further update the bit array where collisions occur, repeating the process with a new allowed set that includes object identifiers from the original allowed set that collided with the disallowed set and a new hash function, until reaching a round where no collisions occurred, generating a data structure that includes the bit arrays created during each recursive round, and compressing the data structure.

公开(公告)号：US20240205100A1

公开(公告)日：2024-06-20

申请号：US18085380

申请日：2022-12-20

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： LAURA RICHTER ,  Leonard Botha ,  Derwin Thulani Ngomane ,  Stephen Hulme ,  Njabulo Ndlovu

IPC: H04L41/147 ,  H04L41/06 ,  H04L41/08 ,  H04L41/14 ,  H04L41/40 ,  H04L43/16

CPC classification number: H04L41/147 ,  H04L41/06 ,  H04L41/0886 ,  H04L41/145 ,  H04L41/40 ,  H04L43/16

Abstract: Systems and methods are provided for automated anomaly detection model quality assurance (QA) and deployment for wireless network failure prediction. Network failure prediction can leverage models trained to detect issues on a network and predict failure scenarios by identifying anomalous issues indicative of failure conditions. To keep these models up to date with changes in network behavior and configurations, the models are recalibrated from time to time. Implementations disclosed herein provide for automated evaluation and deployment of recalibrated models, while assuring issue detection results from the recalibrated models accurately reflect current network conditions. To do this, implementations disclosed herein determine QA metrics for recalibrated, candidate models, QA thresholds from previously deployed models, and QA criteria from a currently deployed model. Based on a comparison of the QA metrics with the QA thresholds and the QA criteria, implementations disclosed herein automatically deploy recalibrated, candidate models without human or external intervention.