公开(公告)号：US11663503B2

公开(公告)日：2023-05-30

申请号：US16561164

申请日：2019-09-05

Applicant: International Business Machines Corporation

Inventor： Tian Ming Pan ,  Bo Chen Zhu ,  Peng Fei Tian ,  Chu Yun Tong ,  Dan Hui Fan

IPC: G06Q30/00 ,  G06N5/04 ,  G06N20/00 ,  G06Q40/02

CPC classification number: G06N5/04 ,  G06N20/00 ,  G06Q40/02

Abstract: Aspects of the invention include a computer-implemented method by executing, via a processor, a bottleneck model training process for microservices in a microservice system, wherein for each of the microservices the bottleneck model training process filters out a subset of training data based at least in part on a current situation setting. Building, via the processor, a bottleneck indicator model for each of the microservices using information from the bottleneck model training process, convergence points for an expected response time. Executing, via the processor, a bottleneck identification process for providing system alerts when a bottleneck is identified, wherein the bottleneck identification process uses analysis to monitor a data stream according to the bottleneck indicator model which uses the convergence points for response times.

公开(公告)号：US11120041B2

公开(公告)日：2021-09-14

申请号：US16448164

申请日：2019-06-21

Applicant: International Business Machines Corporation

Inventor： Jing Yan Ma ,  Bo Chen Zhu ,  Peng Fei Tian ,  Yu Ying Wang ,  Cheng Fang Wang ,  Fu Li Bian

IPC: G06F16/27 ,  G06F16/23 ,  G06F16/28

Abstract: In an approach for maintaining data synchronization, a processor scans a set of data fields at each stage of a data analysis process. A processor generates a relationship tree model, wherein the set of data fields each correspond to a node in the relationship tree model. A processor prunes the relationship tree model. Responsive to an update to a data field of the set of data fields, a processor promulgates the update using the relationship tree model to generate an updated set of insight data. A processor outputs the updated set of insight data.

公开(公告)号：US20200304387A1

公开(公告)日：2020-09-24

申请号：US16356114

申请日：2019-03-18

Applicant: International Business Machines Corporation

Inventor： Tian Ming Pan ,  Peng Fei Tian ,  Bo Chen Z Zhu ,  Chu Yun Cloud Tony

IPC: H04L12/26 ,  G06F11/30

Abstract: A computer-implemented method for recommending a monitoring interval in provided. A non-limiting example of the computer-implemented method includes receiving, by a processor, monitoring data at an initial monitoring interval and calculating, by the processor, a set of aggregation data from the monitoring data including a first subset of aggregation data at a first interval of the initial monitoring interval. The method calculates, by the processor, a first density score for the first subset of aggregation data and a first indicator score for the first subset of aggregation data and provides, by the processor, the first interval as a recommended interval when the first density score does not exceed a density threshold and the first indicator threshold does not exceed an indicator threshold.

公开(公告)号：US11797492B2

公开(公告)日：2023-10-24

申请号：US16865395

申请日：2020-05-03

Applicant: International Business Machines Corporation

Inventor： Jun Yang ,  Hui Lin ,  Peng Fei Tian ,  Yue Wang

IPC: G06F16/182 ,  G06F16/17 ,  G06N3/08 ,  G06F7/544 ,  G06F11/30

CPC classification number: G06F16/1827 ,  G06F7/5443 ,  G06F11/3034 ,  G06F16/1734 ,  G06N3/08

Abstract: A mechanism is provided in a data processing system for hybrid cloud management. The mechanism generates hybrid cloud storage features and hybrid cloud environment factors. The mechanism performs a dynamic confidence method on the hybrid cloud features based on the hybrid cloud environment factors using a deep learning model to generate a hybrid cloud storage profile. The mechanism performing model optimization on the deep learning model and generating a files-storage matrix. The mechanism generates a hybrid cloud file profile based on the hybrid cloud storage profile and the files-storage matrix. The mechanism generates a target file matrix based on the hybrid cloud storage profile and the hybrid cloud file profile. The mechanism stores files based on the target file matrix.

公开(公告)号：US11301289B2

公开(公告)日：2022-04-12

申请号：US16138294

申请日：2018-09-21

Applicant: International Business Machines Corporation

Inventor： Al Chakra ,  Tian Ming Pan ,  Peng Fei Tian ,  Bo Chen Z Zhu ,  Chu Yun Cloud Tony

IPC: G06F9/46 ,  G06F16/23

Abstract: According to one or more embodiments of the present invention a computer-implemented method includes receiving a transaction-data for a transaction that occurs in a particular time-interval. The method further includes comparing a set of parameters from the transaction-data with a performance profile associated with the particular time-interval. The method further includes based on determining that the transaction is a deviant transaction, forwarding the transaction-data to a first data collector. The method further includes based on determining that the transaction is a conventional transaction, forwarding the transaction-data to a second data collector.

公开(公告)号：US11146444B2

公开(公告)日：2021-10-12

申请号：US16050309

申请日：2018-07-31

Applicant: International Business Machines Corporation

Inventor： Al Chakra ,  Tian Ming Pan ,  Peng Fei Tian ,  Chu Yun Cloud Tony ,  Cheng Fang Wang

IPC: H04L12/24

Abstract: A computer system to detect data alerts includes a data preprocessing system and a data analysis system. The data preprocessing system obtains system data of the computer system, generates predicted data based on the system data, and generates differential data indicating a difference between the system data and the predicted data. The data analysis is in signal communication with the data preprocessing system and determines that the differential data is one of expected event or an anomaly event in response to adding at least one new value from the differential data to the predicted data.

公开(公告)号：US11010255B2

公开(公告)日：2021-05-18

申请号：US16574179

申请日：2019-09-18

Applicant: International Business Machines Corporation

Inventor： Tian Ming Pan ,  Bo Chen Zhu ,  Peng Fei Tian ,  Yan Bin Hu

IPC: G06F11/14 ,  G06F11/07

Abstract: Techniques for data storage strategy determination are described herein. An aspect includes determining a plurality of file classifications for files that are stored in a data storage system based on performance history data of a disaster recovery (DR) system of the data storage system. Another aspect includes determining classification records and performance records for the DR system based on the plurality of file classifications. Another aspect includes determining an information loss based on the performance records. Another aspect includes determining a total cost savings based on the classification records. Another aspect includes determining a recommended recovery time objective (RTO)/recovery point objective (RPO) strategy based on the information loss and the total cost savings. Another aspect includes implementing the recommended RTO/RPO strategy in the DR system.

公开(公告)号：US20230042683A1

公开(公告)日：2023-02-09

申请号：US17394240

申请日：2021-08-04

Applicant: International Business Machines Corporation

Inventor： Peng Fei Tian ,  Ting Ting Zhan ,  Jing Bai ,  Dong Chen ,  Jun Su ,  Zhen Rong Wang ,  Shu Tang

IPC: G06F40/30 ,  G06F40/284 ,  G06F16/33 ,  G06F16/335 ,  G06F16/338 ,  G06K9/72 ,  G06K9/62

Abstract: A computer-implemented method, system and computer program product for improving understandability of text by a user. A final word vector for each word in a sentence of a document is computed, such as by averaging a first word vector and a second word vector for that word. Furthermore, elements of a user portrait are vectorized. A distance is then computed between a vector for each word in the sentence and a vectorized element in the user’s portrait which is summed to form an evaluation result for the element. An evaluation result is also formed for every other element in the user’s portrait by performing such a computation step. A “final evaluation result” is then generated corresponding to the evaluation results for every element in the user’s portrait. The document is then transformed in response to the final evaluation result indicating a lack of understanding of the sentence by the user.

公开(公告)号：US11144429B2

公开(公告)日：2021-10-12

申请号：US16550472

申请日：2019-08-26

Applicant: International Business Machines Corporation

Inventor： Al Chakra ,  Tian Ming Pan ,  Peng Fei Tian ,  Chu Yun Tong ,  Fan Zhang ,  Cheng Fang Wang ,  Bo Chen Zhu

IPC: G06F11/34 ,  G06K9/62 ,  G06F8/41 ,  G06N20/00

Abstract: Aspects of the invention include detecting and predicting application performance. A non-limiting example computer-implemented method includes receiving source code and generating a first model of the source code by labeling a word of the source code. The computer implemented method optimizes the first model of the source code by assembling the first model of the source code with a plurality of models generated by a model generation module into a second model of the source code and extracts at least two basic features from the second model of the source code. The computer-implemented method provides an estimated performance of the source code based on historical data of the basic features extracted from the second model of the source code.

公开(公告)号：US20210132957A1

公开(公告)日：2021-05-06

申请号：US16668003

申请日：2019-10-30

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Cheng Fang Wang ,  Li Cao ,  Peng Fei Tian ,  Hong Yi Zhang ,  Yong Wu ,  Bin Xu ,  Qing Li

IPC: G06F9/4401 ,  G06F9/50

Abstract: A method, computer system and computer program product for processing configuration after a cluster migration are provided. In this method, a network booting program is received at a computing node from a management node for a cluster. The cluster includes at least one computing node. An operating system is booted in a memory of the computing node with the received network booting program. Configuration changes are received from the management node, and the configurations in a local storage of the computing node are updated according to the received configuration changes.