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公开(公告)号：US11954521B2
公开(公告)日：2024-04-09
申请号：US17038720
申请日：2020-09-30
Inventor： Jian Lin , Jie Yang , Sibao Hong
CPC classification number: G06F9/4881 , G06F9/5083 , G06N3/08 , G06N20/00
Abstract: A deep learning job scheduling method includes obtaining a job request of a deep learning job, determining a target job description file template from a plurality of pre-stored job description file templates based on the job request, determining an identifier of a target job basic image from identifiers of a plurality of pre-stored job basic images based on the job request, generating a target job description file based on the target job description file template and the identifier of the target job basic image, sending the target job description file to a container scheduler, and selecting the target job basic image from the pre-stored job base images based on the target job description file, and creating at least one container for executing the job request.
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公开(公告)号：US20240095529A1
公开(公告)日：2024-03-21
申请号：US18521152
申请日：2023-11-28
Inventor： Weimin Zhou , Yuting Mai , Yi Li , Yijun Guo , Binbin Deng , Zonghong Dai
IPC: G06N3/08
CPC classification number: G06N3/08
Abstract: A neural network optimization method includes receiving a model file of a to-be-optimized neural network; obtaining a search space of a target neural network architecture based on the model file of the to-be-optimized neural network, where the search space includes a value range of each attribute of each neuron in the target neural network architecture; obtaining the target neural network architecture based on the search space; training the target neural network architecture based on the model file of the to-be-optimized neural network, to obtain a model file of a target neural network; and providing the model file of the target neural network to a user.
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公开(公告)号：US11929999B2
公开(公告)日：2024-03-12
申请号：US17200423
申请日：2021-03-12
Inventor： Dan Touitou , Avigail Oron
CPC classification number: H04L63/08 , G06F21/71 , G06F2221/2149
Abstract: A node provides a service to a client node in a network. The node is configured to execute a code for providing the service to the client node in an enclave of a trusted execution environment (TEE) and to execute a code library in the enclave to attest to the client node the identity of the service provided. The service provided to the client node may be a distributed service including a result of a cooperation of a plurality of neighbor nodes, which are connected to the node either directly or through other intermediate nodes. The code library is configured to attest to the client node the identity of the distributed service.
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公开(公告)号：US11921684B2
公开(公告)日：2024-03-05
申请号：US17954702
申请日：2022-09-28
Inventor： Per-Ake Larson , Alexandre Depoutovitch
CPC classification number: G06F16/215 , G06F3/06 , G06F12/0276 , G06F16/1805 , G06F16/27
Abstract: An apparatus is disclosed. The apparatus may be implemented in a database node or a storage node and includes one or more processors and memory storing instructions for causing the processor to perform a number of operations. Responsive to a page write request, the apparatus determines an identifier corresponding to the requested page, sends component blocks corresponding to the page to a storage node for appending to an append-only storage log of the storage node, receives the physical location of the stored component blocks, and associates the physical storage location of the stored component blocks with the logical identifier corresponding to the page.
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公开(公告)号：US11914881B2
公开(公告)日：2024-02-27
申请号：US17144999
申请日：2021-01-08
CPC classification number: G06F3/0647 , G06F3/0604 , G06F3/067
Abstract: A data migration method and an apparatus are provided. The method is as follows: sending, by a first storage system, a location update request to a location server, where the location update request is used to indicate the location server to update location information of a first bucket from being located in a second storage system to being located in the first storage system; migrating data in a first bucket from the second storage system; receiving a data access request, where the data access request is used to access the data in the first bucket; and determining based on a type of the data access request and a migration status of the data, that the first storage system or the second storage system processes the data access request.
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Patent Agency Ranking
公开(公告)号：US20240054364A1
公开(公告)日：2024-02-15
申请号：US18492754
申请日：2023-10-23
Inventor： Zimu Zheng , Puhan Luo
IPC: G06N5/022
CPC classification number: G06N5/022
Abstract: In a knowledge obtaining method, a computing device obtains pieces of first knowledge from a model knowledge base based on a parameter, where the first knowledge is regarding a first machine-learning model. The model knowledge base stores data regarding attributes of multiple machine-learning models, and the data are organized in a searchable manner based the parameter, which includes one or a combination of: knowledge in a machine learning task, an attribute of the machine learning task, and knowledge between a plurality of machine learning tasks. The computing device then provides the pieces of the first knowledge to a user.
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公开(公告)号：US20240054054A1
公开(公告)日：2024-02-15
申请号：US18494440
申请日：2023-10-25
Inventor： Shuang Huang , Brahma Reddy Battula , Qi Chen
IPC: G06F11/14
CPC classification number: G06F11/1464 , G06F11/1451 , G06F11/1461
Abstract: This application provides a data backup method. The method is applied to a data backup system including a primary cluster, a secondary cluster, and a control device. The control device controls, based on a first data backup policy, the primary cluster or the secondary cluster to back up, to the secondary cluster, a plurality of data sets related to a first service that are in the primary cluster and that are at a first moment, where the first data backup policy includes information about the plurality of data sets related to the first service and the first moment. In this way, the plurality of data sets related to the first service that are backed up to the secondary cluster may be consistent in a time dimension, and the secondary cluster may restore service running based on service data in a same time period when the primary cluster is faulty.
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公开(公告)号：US11895554B2
公开(公告)日：2024-02-06
申请号：US17830573
申请日：2022-06-02
Inventor： Wei Yin
IPC: H04W4/021 , H04L67/1097 , H04W8/26 , G06F16/28 , G06F16/27 , G06F16/9537
CPC classification number: H04W4/021 , G06F16/278 , G06F16/285 , G06F16/9537 , H04L67/1097 , H04W8/26
Abstract: An edge system includes a plurality of first-layer circles and a second-layer circle, and a geographical area represented by the second-layer circle includes a geographical area represented by each first-layer circle, that is, the first-layer circles are deployed in the second-layer circle. Each first-layer circle includes a plurality of sites, the sites include an initial site and are also included in the second-layer circle, and the initial site processes a data operation request sent by a client in a first-layer circle including the initial site, and in the second-layer circle.
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39.发明公开公开(公告)号：US20240020168A1
公开(公告)日：2024-01-18
申请号：US18477092
申请日：2023-09-28
Inventor： Nannan Wang
IPC: G06F9/50
CPC classification number: G06F9/5038 , G06F9/5088
Abstract: A resource scheduling apparatus receives a first resource reservation request and a second resource reservation request, and reserves a first elastic resource for a first tenant and a second resource for a second tenant in a cloud infrastructure. The resource scheduling apparatus receives a resource allocation request requesting to allocate a resource to the first tenant, and when determining that a quantity of resources requested by the resource allocation request is greater than a quantity of first elastic resources reserved by the resource scheduling apparatus for the first tenant in advance, allocates a resource to the first tenant from the second elastic resource.
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公开(公告)号：US11831551B2
公开(公告)日：2023-11-28
申请号：US17358264
申请日：2021-06-25
Inventor： Zhengxian Zhang , Fuzhou Liu , Bo Yao
IPC: H04L47/24 , H04L47/2408 , G06F9/455 , H04L12/46 , H04L45/00 , H04L45/745
CPC classification number: H04L47/2408 , G06F9/45558 , H04L12/4637 , H04L12/4679 , H04L45/66 , H04L45/745 , G06F2009/45579 , G06F2009/45595
Abstract: A cloud computing data center system includes a first server, a second server, a cloud management platform, and a switch. The first server includes a first computing node and a first distributed gateway. The first distributed gateway receives a management packet sent by the cloud management platform. The first distributed gateway records network information of the second VLAN. A first virtual machine sends a first service packet that carries service data to a second virtual machine. The first distributed gateway receives the first service packet, generates a second service packet by modifying the first service packet based on the network information of the second VLAN, and sends the second service packet to the switch. A second distributed gateway receives the second service packet forwarded by the switch, and sends the second service packet to the second virtual machine. In this way, network reliability may be improved.
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