公开(公告)号：US20210232906A1

公开(公告)日：2021-07-29

申请号：US16751127

申请日：2020-01-23

Applicant: VMware, Inc.

Inventor： Ala SHAABANA ,  Arvind MOHAN ,  Vikram NAIR ,  Anant AGARWAL ,  Aalap DESAI ,  Ravi Kant CHERUKUPALLI ,  Pawan SAXENA

IPC: G06N3/08 ,  G06N3/04

Abstract: A system and method for automatically generating recurrent neural networks for log anomaly detection uses a controller recurrent neural network that generates an output set of hyperparameters when an input set of controller parameters is applied to the controller recurrent neural network. The output set of hyperparameters is applied to a target recurrent neural network to produce a child recurrent neural network with an architecture that is defined by the output set of hyperparameters. The child recurrent neural network is then trained, and a log classification accuracy of the child recurrent neural network is computed. Using the log classification accuracy, at least one of the controller parameters used to generate the child recurrent neural network is adjusted to produce a different input set of controller parameters to be applied to the controller recurrent neural network so that a different child recurrent neural network for log anomaly detection can be generated.

公开(公告)号：US20250123869A1

公开(公告)日：2025-04-17

申请号：US18487007

申请日：2023-10-13

Applicant: VMware, Inc.

Inventor： Dongfeng WANG ,  Pawan SAXENA ,  Ravi Kant CHERUKUPALLI ,  Amita Vasudev KAMAT ,  Akshay SHETTY ,  Haiyan ZHAO

IPC: G06F9/455

Abstract: A method of managing a virtual machine (VM) image for deployment of the VM across a plurality of software-defined data centers (SDDCs) includes the steps of: separately uploading parts of the VM image to a cloud storage, forming a complete image of the VM from the separately uploaded parts of the VM image, and downloading from the cloud storage the complete VM image to each of the SDDCs in which the VM is to be deployed.