公开(公告)号：US20230418468A1

公开(公告)日：2023-12-28

申请号：US17851443

申请日：2022-06-28

Applicant: Adobe Inc.

Inventor： Raunak Shah ,  Koyel Mukherjee ,  Khushi ,  Kavya Barnwal ,  Karanpreet Singh ,  Harsh Kesarwani ,  Ayush Chauhan

IPC: G06F3/06

CPC classification number: G06F3/0604 ,  G06F3/0644 ,  G06F3/067

Abstract: Some techniques described herein relate to determining how to optimally store datasets in a multi-tiered storage device with compression. In one example, a method includes assigning, to a data partition of a dataset, a priority based on access patterns of the data partition. Compression data is accessed describing results of compressing a data sample associated with the data partition using multiple compression schemes. Based both on the priority of the data partition and the compression data, a storage tier is determined for storing the data partition in the multi-tiered storage device. Further, based both on the priority of the data partition and the compression data, a compression scheme is determined for compressing the data partition for storage in the multi-tiered storage device. The data partition is compressed using the compression scheme to produce a compressed data partition, and the compressed data partition is stored in the storage tier.

公开(公告)号：US11907531B2

公开(公告)日：2024-02-20

申请号：US17851443

申请日：2022-06-28

Applicant: Adobe Inc.

Inventor： Raunak Shah ,  Koyel Mukherjee ,  Khushi ,  Kavya Barnwal ,  Karanpreet Singh ,  Harsh Kesarwani ,  Ayush Chauhan

IPC: G06F3/06

CPC classification number: G06F3/0604 ,  G06F3/067 ,  G06F3/0644

Abstract: Some techniques described herein relate to determining how to optimally store datasets in a multi-tiered storage device with compression. In one example, a method includes assigning, to a data partition of a dataset, a priority based on access patterns of the data partition. Compression data is accessed describing results of compressing a data sample associated with the data partition using multiple compression schemes. Based both on the priority of the data partition and the compression data, a storage tier is determined for storing the data partition in the multi-tiered storage device. Further, based both on the priority of the data partition and the compression data, a compression scheme is determined for compressing the data partition for storage in the multi-tiered storage device. The data partition is compressed using the compression scheme to produce a compressed data partition, and the compressed data partition is stored in the storage tier.

公开(公告)号：US20240303662A1

公开(公告)日：2024-09-12

申请号：US18181018

申请日：2023-03-09

Applicant: ADOBE INC.

Inventor： Raunak Shah ,  Harshvardhan . ,  Mohit Kumar ,  Shambhavi Pardhi ,  Alakh Dixit ,  Shaddy Garg ,  Shiv Kumar Saini ,  Ramasuri Narayanam

IPC: G06Q20/40 ,  G06Q20/38

CPC classification number: G06Q20/4016 ,  G06Q20/389

Abstract: Systems and methods for identifying fraudulent activity in NFT exchanges are described. Embodiments of the present disclosure obtain transaction data for non-fungible tokens (NFTs) and generate a transaction graph based on the transaction data. The transaction graph includes nodes corresponding to blockchain addresses and nodes corresponding to individual NFTs. Embodiments additionally identify a cycle of the transaction graph, predict a fraudulent activity based on the cycle using a machine learning model, and transmit an alert to a user indicating the predicted fraudulent activity.

公开(公告)号：US20240386002A1

公开(公告)日：2024-11-21

申请号：US18319748

申请日：2023-05-18

Applicant: Adobe Inc.

Inventor： Raunak Shah ,  Koyel MUKHERJEE ,  Subrata MITRA ,  Dhruv JOSHI ,  Sai KARNAM ,  Shivam Pravin BHOSALE

IPC: G06F16/215 ,  G06F16/28 ,  G06F40/284

Abstract: A dataset comprising tables is received. Embeddings are generated for column titles of a table. Based on the embeddings, similar tables are clustered. The tables are organized into smaller clusters based on statistical similarities. Similarity scores are calculated for tables within the same cluster. A relatedness graph is created based on the similarity scores; similar tables are represented by nodes connected by edges. If the similarity score for a pair of tables exceeds a threshold, a table is deleted.

公开(公告)号：US20240303176A1

公开(公告)日：2024-09-12

申请号：US18178715

申请日：2023-03-06

Applicant: Adobe Inc.

Inventor： Raunak Shah ,  Shiv Kumar Saini ,  Atanu R. Sinha

IPC: G06F11/34 ,  G06F9/50

CPC classification number: G06F11/3442 ,  G06F9/5077

Abstract: A computing resource allocation system receives entity resource usage data describing computing resource usage of an executable service platform by an entity as part of a first allocation generated using a first allocation mechanism. A computing resource allocation system generates an entity resource model based on the entity resource usage data of the computing resource usage of the executable service platform as part of the first allocation mechanism. A computing resource allocation system simulates computing resource usage of the executable service platform by the entity as part of a second allocation mechanism based on the entity resource model and the entity resource usage data. A computing resource allocation system estimates a second allocation to provide to the entity based on the simulating.