公开(公告)号：US12299294B2

公开(公告)日：2025-05-13

申请号：US18345890

申请日：2023-06-30

Applicant: Amazon Technologies, Inc.

Inventor： Enrico Sartorello ,  Jessie E Felix ,  Seth W. Markle ,  Andrew Kent Warfield ,  Leon Thrane ,  Valentin Flunkert ,  Miroslav Miladinovic ,  Christoph Bartenstein ,  James C Kirschner

IPC: G06F3/06

Abstract: An object storage system includes mass storage devices that implement general storage for objects stored in the object storage system and additionally includes other storage devices, such as solid-state drives, that provide higher performance storage access. The object storage system implements a common access interface for accessing both accelerated access objects (who are eligible to have cached copies stored on the higher performance storage devices) and non-accelerated access objects stored in the general storage. The cache is fully managed by the service and no changes are required for client applications to receive accelerated access to objects that are classified as accelerated access objects per a customer configurable acceleration policy for the object or for a bucket in which the object is stored.

公开(公告)号：US20250004648A1

公开(公告)日：2025-01-02

申请号：US18345890

申请日：2023-06-30

Applicant: Amazon Technologies, Inc.

Inventor： Enrico Sartorello ,  Jessie E Felix ,  Seth W. Markle ,  Andrew Kent Warfield ,  Leon Thrane ,  Valentin Flunkert ,  Miroslav Miladinovic ,  Christoph Bartenstein ,  James C Kirschner

IPC: G06F3/06

Abstract: An object storage system includes mass storage devices that implement general storage for objects stored in the object storage system and additionally includes other storage devices, such as solid-state drives, that provide higher performance storage access. The object storage system implements a common access interface for accessing both accelerated access objects (who are eligible to have cached copies stored on the higher performance storage devices) and non-accelerated access objects stored in the general storage. The cache is fully managed by the service and no changes are required for client applications to receive accelerated access to objects that are classified as accelerated access objects per a customer configurable acceleration policy for the object or for a bucket in which the object is stored.

公开(公告)号：US11593704B1

公开(公告)日：2023-02-28

申请号：US16455356

申请日：2019-06-27

Applicant: Amazon Technologies, Inc.

Inventor： Rodolphe Jenatton ,  Miroslav Miladinovic ,  Valerio Perrone

IPC: G06N20/00 ,  G06N3/08 ,  G06N7/00 ,  G06N7/02 ,  G06F16/2455

Abstract: Techniques for tuning a machine learning algorithm using automatically determined optimal hyperparameters are described. An exemplary method includes receiving a request to determine a search space for at least one hyperparameter of a machine learning algorithm; determining, according to the request, optimal hyperparameter values from the search space for at least the one hyperparameter of the machine learning algorithm based on an evaluation of hyperparameters from the same machine learning algorithm on different datasets; and tuning the machine learning algorithm using the determined optimal hyperparameter values for the at least one hyperparameter of the machine learning algorithm to generate a machine learning model.