公开(公告)号：US20170316027A1

公开(公告)日：2017-11-02

申请号：US15521370

申请日：2015-01-15

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Santigopal Mondal ,  Anand Andaneppa Ganjihal ,  Anoop Kumar Raveendran ,  Sandya Srivilliputtur Mannarswamy

IPC: G06F17/30

CPC classification number: G06F16/1727 ,  G06F16/13 ,  G06F16/134 ,  G06F16/182

Abstract: Storage space may be allocated from a non-reserved zone of a file system when the file system is not undergoing an online file system check. When the file system is undergoing an online file system check, storage space is allocated from a soft-reserved zone.

公开(公告)号：US20250138966A1

公开(公告)日：2025-05-01

申请号：US18440281

申请日：2024-02-13

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Hiro Rameshlal Lalwani ,  Rachit Gupta ,  Sherine Jacob ,  Kumar Gaurav ,  Anand Andaneppa Ganjihal

IPC: G06F11/263

Abstract: In certain embodiments, a method includes receiving, at a framework controller executing, a test execution request comprising test parameters and an expected test outcome, wherein the test execution request comprises a request for testing a microservice architecture implemented in a cloud infrastructure; providing, by the framework controller, the test execution request and the test parameters to a framework injector executing on the one or more processors; providing, by the framework controller, the expected test outcome to a framework monitor executing on the one or more processors; executing, by the framework injector, a test corresponding to the test execution request using a test injector of a plurality of test injectors implemented by the framework injector; monitoring, by the framework monitor, a response of the microservice architecture of the cloud infrastructure to the test; and providing, by the framework controller and from the framework monitor, a test result based on the response.

公开(公告)号：US10922276B2

公开(公告)日：2021-02-16

申请号：US15521370

申请日：2015-01-15

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Santigopal Mondal ,  Anand Andaneppa Ganjihal ,  Anoop Kumar Raveendran ,  Sandya Srivilliputtur Mannarswamy

IPC: G06F16/00 ,  G06F16/17 ,  G06F16/13 ,  G06F16/182

Abstract: Storage space may be allocated from a non-reserved zone of a file system when the file system is not undergoing an online file system check. When the file system is undergoing an online file system check, storage space is allocated from a soft-reserved zone.

公开(公告)号：US12235795B2

公开(公告)日：2025-02-25

申请号：US17816276

申请日：2022-07-29

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Sagar Venkappa Nyamagouda ,  Smitha Jayaram ,  Hiro Rameshlal Lalwani ,  Rachit Gupta ,  Sherine Jacob ,  Anand Andaneppa Ganjihal

IPC: G06F16/13 ,  G06F11/34

Abstract: In some examples, a system receives workload information of a workload collection, and applies a machine learning model on the workload information, the machine learning model trained using training information including features of different types of workloads. The system produces, by the machine learning model, an identification of a first file system from among different types of file systems, the machine learning model producing an output value corresponding to the first file system that is a candidate for use in storing files of the workload collection.

公开(公告)号：US20210357366A1

公开(公告)日：2021-11-18

申请号：US17301908

申请日：2021-04-19

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Anand Andaneppa Ganjihal ,  Ankit Gupta

IPC: G06F16/16 ,  G06F16/182 ,  G06F16/17 ,  G06F8/658 ,  G06F11/07

Abstract: Aspects for remote analysis of file system metadata are described. In an example, a computer-readable file from a client system is received. The computer-readable file comprises file system metadata of a file system, and corresponding source location of the file system metadata on a volume of the client system. Thereafter, a target location on a target volume is identified, wherein the target location corresponds to the source location on the volume of the client system. In an example, the file system metadata is replicated onto the target location based on the computer-readable file, for analysis.

公开(公告)号：US12066980B2

公开(公告)日：2024-08-20

申请号：US17301908

申请日：2021-04-19

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Anand Andaneppa Ganjihal ,  Ankit Gupta

IPC: G06F16/16 ,  G06F11/07 ,  G06F16/182

CPC classification number: G06F16/164 ,  G06F11/0772 ,  G06F11/0793 ,  G06F16/184

Abstract: Aspects for remote analysis of file system metadata are described. In an example, a computer-readable file from a client system is received. The computer-readable file comprises file system metadata of a file system, and corresponding source location of the file system metadata on a volume of the client system. Thereafter, a target location on a target volume is identified, wherein the target location corresponds to the source location on the volume of the client system. In an example, the file system metadata is replicated onto the target location based on the computer-readable file, for analysis.

公开(公告)号：US20240037067A1

公开(公告)日：2024-02-01

申请号：US17816276

申请日：2022-07-29

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Sagar Venkappa Nyamagouda ,  Smitha Jayaram ,  Hiro Rameshlal Lalwani ,  Rachit Gupta ,  Sherine Jacob ,  Anand Andaneppa Ganjihal

IPC: G06F16/13 ,  G06F11/34

CPC classification number: G06F16/13 ,  G06F11/3414

Abstract: In some examples, a system receives workload information of a workload collection, and applies a machine learning model on the workload information, the machine learning model trained using training information including features of different types of workloads. The system produces, by the machine learning model, an identification of a first file system from among different types of file systems, the machine learning model producing an output value corresponding to the first file system that is a candidate for use in storing files of the workload collection.