公开(公告)号：US20190116178A1

公开(公告)日：2019-04-18

申请号：US15730980

申请日：2017-10-12

Applicant: SAP SE

Inventor： Paul Coffey ,  Hao Weng ,  Jiayi Chen ,  Na Zhang

IPC: H04L29/06 ,  G06F21/16 ,  G06F11/14

Abstract: According to some embodiments, an application error detection platform computer processor may monitor execution of an application for a customer and determine that an application error has occurred. Responsive to the determination that an application error has occurred, an error fingerprint creation platform computer processor may access a stack trace representing execution of the application when the application error occurred. An error fingerprint associated with the occurrence of the application error may then be determined by applying a hash function (e.g., SHA-1) to information contained in the stack trace. Electronic records including an indication of the error fingerprint may then be received by and stored in an application error log data store. The application error log data store may then be searched for duplicate error fingerprints to facilitate application error resolution.

公开(公告)号：US20250117260A1

公开(公告)日：2025-04-10

申请号：US18376969

申请日：2023-10-05

Applicant: SAP SE

Inventor： Wei Jiang ,  Hao Weng

IPC: G06F9/50

Abstract: Systems and methods described herein relate to the handling of resource-intensive computing jobs in a cloud-based job execution environment. An unexecuted computing job has a plurality of features. A resource intensity prediction is generated for the unexecuted computing job based on the features and on historical job data that classifies each of a plurality of executed computing jobs as either resource intensive or non-resource intensive. The resource intensity prediction indicates that the unexecuted computing job is predicted to be classified as resource intensive. A predicted resource intensity category of the unexecuted computing job is determined. Utilization data associated with one or more of a plurality of job execution destinations may be accessed. The unexecuted computing job may be assigned to a selected job execution destination from among the plurality of job execution destinations based on the predicted resource intensity category and the utilization data.

公开(公告)号：US10911447B2

公开(公告)日：2021-02-02

申请号：US15730980

申请日：2017-10-12

Applicant: SAP SE

Inventor： Paul Coffey ,  Hao Weng ,  Jiayi Chen ,  Na Zhang

IPC: H04L29/06 ,  G06F11/14 ,  G06F21/16 ,  H04L9/32 ,  G06F21/57 ,  G06F11/07 ,  H04L12/24

Abstract: An application error detection platform computer processor may monitor execution of an application for a customer and determine that an application error has occurred. Responsive to the determination that an application error has occurred, an error fingerprint creation platform computer processor may access a stack trace representing execution of the application when the application error occurred. An error fingerprint associated with the occurrence of the application error may then be determined by applying a hash function (e.g., SHA-1) to information contained in the stack trace. Electronic records including an indication of the error fingerprint may then be received by and stored in an application error log data store. The application error log data store may then be searched for duplicate error fingerprints to facilitate application error resolution.

公开(公告)号：US10484234B1

公开(公告)日：2019-11-19

申请号：US16004905

申请日：2018-06-11

Applicant: SAP SE

Inventor： Xun Sun ,  Hao Weng ,  Xiaoxiao Gu ,  You Li

IPC: G06F15/173 ,  H04L12/24 ,  H04L29/08 ,  G06F21/62

Abstract: Systems and methods are provided for receiving a notification of an issue with a cloud services application, determining that troubleshooting of the issue comprises review of server logs containing personal data, enabling a data protection and privacy log level instead of a default log level to capture the personal data, generating the one or more server logs containing personal data during replication of the issue based on detecting that the data protection and privacy log level is enabled, indexing the one or more server logs containing personal data and setting access permission to the one or more server logs, detecting that a specified retention time period for the personal data has lapsed, automatically purging the personal data of the one or more server logs based on detecting that the specified retention time period has lapsed, and recording a record that the personal data has been purged.