公开(公告)号：US12131181B2

公开(公告)日：2024-10-29

申请号：US17511994

申请日：2021-10-27

Applicant: Red Hat, Inc.

Inventor： Arie Bregman ,  Steve Mattar

IPC: G06F9/48 ,  G06F9/455 ,  G06F9/50 ,  G06F9/54

CPC classification number: G06F9/485 ,  G06F9/455 ,  G06F9/45558 ,  G06F9/48 ,  G06F9/4806 ,  G06F9/4843 ,  G06F9/4881 ,  G06F9/50 ,  G06F9/5077 ,  G06F9/5088 ,  G06F9/54 ,  G06F2009/45562 ,  G06F2009/45575 ,  G06F2009/45591

Abstract: The removal of software operators can be managed according to some aspects described herein. In one example, a system can receive a command to remove an operator from a computing cluster and, in response, determine a set of actions previously performed in the computing cluster in relation to adding the operator to the computing cluster. Each action can involve the creation, modification, or deletion of at least one object in the computing cluster. The system can also determine a particular order in which the set of actions were previously performed relative to one another. The system can then assist with removing the operator from the computing cluster by causing an inverse of each action in the set of actions to be performed in the computing cluster in a reverse order to the particular order.

公开(公告)号：US20240354228A1

公开(公告)日：2024-10-24

申请号：US18760855

申请日：2024-07-01

Applicant: WAPP TECH CORP.

Inventor： Donavan Paul POULIN

IPC: G06F11/36 ,  G06F8/30 ,  G06F8/71 ,  G06F9/455 ,  G06F11/34 ,  G06F30/33

CPC classification number: G06F11/3664 ,  G06F8/30 ,  G06F8/71 ,  G06F11/3457 ,  G06F11/3668 ,  G06F30/33 ,  G06F9/455 ,  G06F2201/00 ,  G06F2201/86

Abstract: A system, method and software product emulate and profile an application playing on a mobile device. The mobile device is emulated using a model based upon characteristics related to performance of the mobile device. The application is played and monitored within the model to determine resource utilization of the application for the mobile device.

公开(公告)号：US12106253B2

公开(公告)日：2024-10-01

申请号：US17117698

申请日：2020-12-10

Applicant: Huawei Technologies Co., Ltd.

Inventor： Wenqiang Ding ,  Juan Li ,  Qishuai Xu

IPC: G06F9/455 ,  G01N21/90 ,  G06F9/50 ,  G06Q10/08 ,  G06F3/0484

CPC classification number: G06Q10/08 ,  G01N21/90 ,  G06F9/455 ,  G06F9/50 ,  G06F3/0484

Abstract: This application discloses a container management method, apparatus, and device. The method includes: obtaining a provisioning request that carries an identifier of a first user and an identifier of a first container image; querying and obtaining the identifier of the first container image in a container image information database of the first user; obtaining the container image based on the identifier of the first container image; and provisioning a container based on the container image.

公开(公告)号：US12093714B2

公开(公告)日：2024-09-17

申请号：US17380750

申请日：2021-07-20

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Achintya Guchhait ,  Adithya Shreedhar ,  Sriram Gummuluru

IPC: G06F9/455 ,  G06F9/48 ,  G06F9/50 ,  G06F11/34 ,  G06N20/00

CPC classification number: G06F9/45558 ,  G06F9/455 ,  G06F9/48 ,  G06F9/50 ,  G06F9/5072 ,  G06F9/5077 ,  G06F9/5083 ,  G06F9/5088 ,  G06F11/3409 ,  G06F11/3447 ,  G06N20/00 ,  G06F2009/4557 ,  G06F2009/45583 ,  G06F2009/45591

Abstract: In accordance with an embodiment, described herein is a system and method for use with a cloud computing environment, for estimation of performance impact upon a hypervisor provided within such environments, and the use of such estimation in placing virtual machines within the environment. A noisy-neighbor score value, generated for a particular hypervisor socket on a multi-core processor architecture, provides a predicted measure of performance drop which affected virtual machines placed on that hypervisor socket may experience at a particular point in time, due to activity of neighboring virtual machines on one or more sockets of the hypervisor. The predicted measure of performance drop can be automatically calculated by the system based on the amount and nature of compute usage on the hypervisor, and data defining a machine learning model developed from or through the operation and assessment of controlled noisy-neighbor studies over a collection of compute and memory-intensive workloads.

公开(公告)号：US12086649B2

公开(公告)日：2024-09-10

申请号：US17356258

申请日：2021-06-23

Applicant: PURE STORAGE, INC.

Inventor： Prakash Darji ,  Shvetima Gulati

IPC: G06F9/50 ,  G06F3/06 ,  G06F9/455 ,  G06F9/48 ,  G06F21/60 ,  H04L43/065 ,  H04L43/0817 ,  H04L67/1097 ,  H04L67/75 ,  H04L12/46

CPC classification number: G06F9/5088 ,  G06F3/0604 ,  G06F3/0605 ,  G06F3/0622 ,  G06F3/0653 ,  G06F3/0659 ,  G06F3/067 ,  G06F9/455 ,  G06F9/45558 ,  G06F9/48 ,  G06F9/4806 ,  G06F9/4843 ,  G06F9/485 ,  G06F9/4856 ,  G06F9/4881 ,  G06F9/50 ,  G06F9/5005 ,  G06F9/5016 ,  G06F9/5083 ,  G06F21/604 ,  H04L43/065 ,  H04L43/0817 ,  H04L67/1097 ,  H04L67/75 ,  G06F2009/4557 ,  G06F9/5044 ,  H04L12/46

Abstract: Rebalancing in a fleet of storage systems using data science including generating, by the cloud-based rebalancing system, a plurality of workload migration scenarios to address a detected workload imbalance among a plurality of workloads in a fleet of storage systems; determining, by the cloud-based rebalancing system, a plurality of movement vectors for each workload migration scenario, wherein each of the plurality of movement vectors describes a consideration factor for migrating a workload of the plurality of workloads within the fleet of storage systems; and generating, by the cloud-based rebalancing system, at least one rebalancing proposal based on the plurality of movement vectors for each workload migration scenario.

公开(公告)号：US20240281331A1

公开(公告)日：2024-08-22

申请号：US18581842

申请日：2024-02-20

Applicant: Micron Technology, Inc.

Inventor： David Andrew Roberts

IPC: G06F11/14 ,  G06F9/455 ,  G06F9/50

CPC classification number: G06F11/1407 ,  G06F9/455 ,  G06F9/5016 ,  G06F11/1438 ,  G06F2209/5011

Abstract: Disclosed in some examples, are methods, systems, and machine-readable mediums in which application state is saved using in-memory versioning in a shared memory pool of disaggregated memory. By utilizing a disaggregated memory pool, the processing resources may be on separate devices than the memory those resources are using. As a result of this architecture, a failure of hardware of processing resources or an application does not necessarily also cause the hardware resources of the memory devices to fail. This allows a standby application executing on standby processing resources to quickly resume execution when a primary application fails by utilizing the memory pool assigned to the primary application in the memory pool.

公开(公告)号：US12058160B1

公开(公告)日：2024-08-06

申请号：US18188830

申请日：2023-03-23

Applicant: LACEWORK, INC.

Inventor： Úlfar Erlingsson ,  Jay Parikh ,  Yijou Chen

IPC: H04L9/40 ,  G06F9/455 ,  G06F9/54 ,  G06F16/901 ,  G06F16/9038 ,  G06F16/9535 ,  G06F16/9537 ,  G06F21/57 ,  H04L41/06 ,  H04L43/045 ,  H04L43/06 ,  H04L67/306 ,  H04L67/50 ,  G06F16/2455

CPC classification number: H04L63/1425 ,  G06F9/455 ,  G06F9/545 ,  G06F16/9024 ,  G06F16/9038 ,  G06F16/9535 ,  G06F16/9537 ,  G06F21/57 ,  H04L41/06 ,  H04L43/045 ,  H04L43/06 ,  H04L63/10 ,  H04L67/306 ,  H04L67/535 ,  G06F16/2456

Abstract: Integrating a natural language interface into an anomaly detection framework, including: detecting, by an anomaly detection framework, an occurrence of an event associated with one or more assets that are being monitored by an anomaly detection framework; generating, based on information associated with the detected event, one or more natural language inputs; and submitting, to a natural language interface, the one or more natural language inputs.

公开(公告)号：US20240242098A1

公开(公告)日：2024-07-18

申请号：US18510735

申请日：2023-11-16

Applicant: Trustees of Tufts College

Inventor： Matthias J. Scheutz ,  Thomas H. Arnold

IPC: G06N5/04 ,  G06F9/455 ,  G06F11/26 ,  G06F11/34 ,  G06N20/00

CPC classification number: G06N5/04 ,  G06F9/455 ,  G06F11/261 ,  G06F11/3457 ,  G06N20/00

Abstract: Systems and methods may ethically evaluate intelligent systems operating in a real-world environment. The systems and methods may generate a clone of the intelligent system, and test the clone in a simulation environment. If the clone passes the testing, the systems and methods may permit the intelligent system to continue operating in the real-world environment. If the clone fails the testing, the systems and methods may override the intelligent system, such as disabling the intelligent system and assuming control in the real-world environment. The systems and methods may be implemented at a hardware level of a data processing device to prevent interference with the systems and methods by the intelligent system.

公开(公告)号：US20240231952A1

公开(公告)日：2024-07-11

申请号：US18513913

申请日：2023-11-20

Applicant: PURE STORAGE, INC.

Inventor： PRAKASH DARJI ,  SHVETIMA GULATI

IPC: G06F9/50 ,  G06F3/06 ,  G06F9/455 ,  G06F9/48 ,  G06F21/60 ,  H04L12/46 ,  H04L43/065 ,  H04L43/0817 ,  H04L67/1097 ,  H04L67/75

CPC classification number: G06F9/5088 ,  G06F3/0604 ,  G06F3/0605 ,  G06F3/0622 ,  G06F3/0653 ,  G06F3/0659 ,  G06F3/067 ,  G06F9/455 ,  G06F9/45558 ,  G06F9/48 ,  G06F9/4806 ,  G06F9/4843 ,  G06F9/485 ,  G06F9/4856 ,  G06F9/4881 ,  G06F9/50 ,  G06F9/5005 ,  G06F9/5016 ,  G06F9/5083 ,  G06F21/604 ,  H04L43/065 ,  H04L43/0817 ,  H04L67/1097 ,  H04L67/75 ,  G06F2009/4557 ,  G06F9/5044 ,  H04L12/46

Abstract: Role enforcement for storage-as-a-service including managing, for a storage system, a plurality of roles including a storage consumer role and a storage provider role, wherein the storage consumer role is associated with data management instructions that are enabled for the storage consumer role and disabled for the storage provider role, and wherein the storage provider role is associated with storage management instructions that are enabled for the storage provider role and disabled for the storage consumer role; servicing a data management instruction from a first client associated with storage consumer role, wherein the data management instruction is an instruction to manipulate data on the storage system; and servicing a storage management instruction from a second client associated the storage provider role, wherein the storage management instruction is an instruction to manage the storage system.

公开(公告)号：US20240231863A9

公开(公告)日：2024-07-11

申请号：US18278814

申请日：2022-04-28

Applicant: SHANDONG YINGXIN COMPUTER TECHNOLOGIES CO., LTD.

Inventor： Kai KANG

IPC: G06F9/455

CPC classification number: G06F9/455

Abstract: Disclosed in the present application a method for electing a master node in a cluster. The method comprises the following steps: on the basis of a hyper-converged cloud platform, creating a storage cluster, and configuring a status detection program and a full response operation function; performing active node screening on the storage cluster, so as to obtain an active node set and a candidate node set; setting a first data situation, detecting a second data situation of the active node set, and executing a determination step on the basis of the first data situation and the second data situation, so as to obtain a determination result; when the determination result is a first result, setting an arrangement sequence and a first selection position, and electing a first master node according to the arrangement sequence, the first selection position and the active node set; and when the determination result is a second result, configuring a consistency election algorithm and a distributed election algorithm, and electing a second master node on the basis of the candidate node set, the consistency election algorithm and the distributed election algorithm. By means of the present application, an excessively long election time of a master node and unsuccessful election of the master node are avoided, thereby improving the deployment efficiency of a cluster.