公开(公告)号：US20190132258A1

公开(公告)日：2019-05-02

申请号：US15802023

申请日：2017-11-02

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Yong Deng Hu ,  JING LI ,  Qiang Liu ,  Jing Quan ,  JIAN Wang ,  Xing Xing Di

IPC: H04L12/927

Abstract: A method, computer program product, and system are provided. A resource exhaustion is predicted based on the available resource and a consumption speed of the resource in a bare-metal server. Then it is determined whether the resource exhaustion will have an impact on the Service Level Agreement (SLA) and, responsive to the determination that the resource exhaustion will have an impact on the SLA, a control of the resource consumption speed is enacted to slow down the resource exhaustion and to maintain the SLA.

公开(公告)号：US20190392335A1

公开(公告)日：2019-12-26

申请号：US16563076

申请日：2019-09-06

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： JING LI ,  Xiang Li ,  Haifeng Liu ,  Guo Tong Xie ,  Yi Qin Yu ,  Shi Lei Zhang

IPC: G06N7/00

Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.

公开(公告)号：US20190392334A1

公开(公告)日：2019-12-26

申请号：US16563070

申请日：2019-09-06

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： JING LI ,  XIANG LI ,  HAIFENG LIU ,  GUO TONG XIE ,  YI QIN YU ,  SHI LEI ZHANG

IPC: G06N7/00

Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.

公开(公告)号：US20230177363A1

公开(公告)日：2023-06-08

申请号：US17457445

申请日：2021-12-03

Applicant: International Business Machines Corporation

Inventor： JING LI ,  Jian Wang ,  JIAN MIN JIANG ,  Zi Ming Huang ,  Zhen Zhang ,  WANQING LIU

IPC: G06N5/04 ,  G06N5/02 ,  G06F40/295

CPC classification number: G06N5/04 ,  G06N5/02 ,  G06F40/295

Abstract: A processor obtains a pair including a question and an answer in natural language; determines at least one entity in the question and an entity type of each of the at least one entity consistent with the schema of a knowledge graph (KG); identifies a subset of candidate query templates based on the entity type of each of the at least one entity, wherein the candidate query templates are generated based on the schema of the KG; composes a set of queries by populating the at least one entity into each of the subset of candidate query templates; executes the set of queries on the KG to generate respective answers; identifies a first answer from the respective answers that is matching with the answer in the pair; and determines a candidate query template, from the subset of candidate query templates, corresponding to the first answer as a query template.