公开(公告)号：US20240403105A1

公开(公告)日：2024-12-05

申请号：US18800411

申请日：2024-08-12

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Skyler Thomas ,  Lars Fredriksen ,  Ted Dunning ,  Scott Frolich

IPC: G06F9/455 ,  G06F16/182

Abstract: Examples described herein are generally directed to facilitating access to container state through multiple protocols. According to an example, a distributed state store is provided in which container state is accessible by multiple client containers via nodes of the distributed state store across which the container state is replicated. Responsive to receipt from a first client container of a storage request via a first application programming interface (API) method of the distributed state store that is associated with a first protocol, the container state is stored within the distributed state store. Responsive to receipt from a second client container of an access request via a second API method of the distributed state store that is associated with a second protocol, the container state is returned to the second client container via the second protocol.

公开(公告)号：US12079653B2

公开(公告)日：2024-09-03

申请号：US17494059

申请日：2021-10-05

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Skyler Thomas ,  Lars Fredriksen ,  Ted Dunning ,  Scott Frolich

IPC: G06F9/54 ,  G06F9/455 ,  G06F16/182

CPC classification number: G06F9/45558 ,  G06F9/45516 ,  G06F16/182 ,  G06F2009/45562 ,  G06F2009/4557

Abstract: Examples described herein are generally directed to facilitating access to container state through multiple protocols. According to an example, a distributed state store is provided in which container state is accessible by multiple client containers via nodes of the distributed state store across which the container state is replicated. Responsive to receipt from a first client container of a storage request via a first application programming interface (API) method of the distributed state store that is associated with a first protocol, the container state is stored within the distributed state store. Responsive to receipt from a second client container of an access request via a second API method of the distributed state store that is associated with a second protocol, the container state is returned to the second client container via the second protocol.

公开(公告)号：US12248488B2

公开(公告)日：2025-03-11

申请号：US18351355

申请日：2023-07-12

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Ted Dunning ,  Suparna Bhattacharya ,  Glyn Bowden ,  Lin A. Nease ,  Janice M. Zdankus ,  Sonu Sudhakaran

IPC: G06F16/248 ,  G06F16/2455 ,  G06F16/25 ,  G06F16/28

Abstract: Systems and methods provide a system that gathers information about data as it progresses through data processing pipelines of data analysis projects. The data analytics system derives value indicators and implicit metadata from the data processing pipelines. For example, the data analytics system may derive value indicators and implicit metadata from data-related products themselves, semantic analysis of the code/processing steps used to process the data-related products, the structure of data processing pipelines, and human behavior related to production and usage of data-related products. Once a new data analysis project is initiated, the data analytics system gathers parameters and characteristics about the new data analysis project and references the value indicators and implicit metadata to recommend useful processing steps, datasets, and/or other data-related products for the new data analysis project.

公开(公告)号：US11907241B2

公开(公告)日：2024-02-20

申请号：US17843757

申请日：2022-06-17

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Ted Dunning ,  Suparna Bhattacharya ,  Glyn Bowden ,  Lin A. Nease ,  Janice M. Zdankus ,  Sonu Sudhakaran

IPC: G06F16/248 ,  G06F16/2455 ,  G06F16/25 ,  G06F16/28

CPC classification number: G06F16/248 ,  G06F16/24556 ,  G06F16/254 ,  G06F16/288

Abstract: Systems and methods provide a system that gathers information about data as it progresses through data processing pipelines of data analysis projects. The data analytics system derives value indicators and implicit metadata from the data processing pipelines. For example, the data analytics system may derive value indicators and implicit metadata from data-related products themselves, semantic analysis of the code/processing steps used to process the data-related products, the structure of data processing pipelines, and human behavior related to production and usage of data-related products. Once a new data analysis project is initiated, the data analytics system gathers parameters and characteristics about the new data analysis project and references the value indicators and implicit metadata to recommend useful processing steps, datasets, and/or other data-related products for the new data analysis project.