公开(公告)号：US20230247106A1

公开(公告)日：2023-08-03

申请号：US18003393

申请日：2021-06-28

Applicant: ZTE CORPORATION

Inventor： Ming ZENG ,  Dezheng WANG ,  Haisheng GUO ,  Yaofeng TU ,  Qiang ZHANG ,  Zhizhong ZHOU

IPC: H04L67/56 ,  G06F21/60 ,  G06F21/62 ,  G06F21/64

CPC classification number: H04L67/56 ,  G06F21/602 ,  G06F21/6245 ,  G06F21/64

Abstract: A proxy method, a device, and a computer-readable storage medium are disclosed. The proxy method may include: obtaining transaction data of a user, the transaction data including a transaction request and private data; sending the transaction request to a blockchain platform, completing, by the blockchain platform, a transaction according to the transaction request, and storing the private data locally; and after the transaction is completed, sending the private data to a peer proxy for transaction verification.

公开(公告)号：US20220365905A1

公开(公告)日：2022-11-17

申请号：US17623346

申请日：2020-06-24

Applicant: ZTE Corporation

Inventor： Yinjun HAN ,  Bo WANG ,  Yaofeng TU ,  Hong GAO

IPC: G06F16/16 ,  G06F16/13 ,  G06F16/182

Abstract: Provided are a metadata processing method and apparatus, and a computer-readable storage medium. In the metadata processing method, a management server obtains metadata to be processed, wherein the metadata to be processed includes a directory structure and file attributes; and according to a load condition of at least one first node for storing the file attributes and based on a rule that file attributes of a same directory are stored in a same first node, the management server stores, in the at least one first node, the file attributes of directories in the directory structure in a distributed manner.

公开(公告)号：US20220206898A1

公开(公告)日：2022-06-30

申请号：US17600551

申请日：2019-11-28

Applicant: ZTE Corporation

Inventor： Hongzhang YANG ,  Yaofeng TU ,  Yahui YANG ,  Zhongliang LI ,  Bin GUO

IPC: G06F11/10 ,  G06F11/30 ,  G06F11/34 ,  G06F11/07 ,  G06K9/62

Abstract: Disclosed are method and apparatus for predicting hard disk fault occurrence time of hard disk failure, and storage medium. The method includes steps of: screening a hard disk on the verge of failure from a plurality of hard disks according to state data acquired of hard disks; calculating variation quantity and discrete quantity of each piece of the state data of the hard disk on the verge of failure acquired over a first preset period of time, to obtain a first predicted data set; and inputting the first predicted data set into a first training model to obtain probability of occurrence of failure for the hard disk on the verge of failure over a future second preset period of time.