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1. 发明申请

WO2021262282A1 CLOUD LOAD ORCHESTRATOR 审中-公开
公开(公告)号：WO2021262282A1
公开(公告)日：2021-12-30
申请号：PCT/US2021/026498
申请日：2021-04-09
申请人： MICROSOFT TECHNOLOGY LICENSING, LLC
发明人： MOELLER, Justin G. , LANG, Willis
IPC分类号： G06F11/34 , G06F11/36 , G06F9/50 , G06F11/20 , G06F11/2023 , G06F11/3414 , G06F11/3433 , G06F11/3442 , G06F11/3447 , G06F11/3664 , G06F11/3684 , G06F11/3688 , G06F9/5083 , G06F9/542
摘要： Testing methods and systems are provided for testing a resource manager of an application management system. The testing systems include a load orchestrator configured to obtain an artificial metric that is determined based on a utilization model (e.g., CPU usage, memory allocation, or disk usage, number of webserver sessions). The load orchestrator transmits the artificial metric to applications in a cluster of computing nodes. The applications transmit the artificial metric to the resource manager. In response, the resource manager generates control output for managing applications in the cluster based on the artificial metric (e.g., scaling, load balancing, application placement, failover of applications, or defragmenting data). The utilization model may include executable code for generating artificial metric values. The model may be received as a result of an API call. The load orchestrator may be instantiated in an orchestration framework or in each node of the cluster.

2. 发明申请

WO2021243508A1 SCANNING FOR INFORMATION ACCORDING TO SCAN OBJECTIVES 审中-公开
公开(公告)号：WO2021243508A1
公开(公告)日：2021-12-09
申请号：PCT/CN2020/093717
申请日：2020-06-01
申请人： PAYPAL, INC.
发明人： WANG, Gaoyuan , HUANG, Jie , YAN, Zelin , KANG, Fuyuan
IPC分类号： G06F21/60 , G06F11/3442 , G06F16/215 , G06F16/252 , G06F16/258 , G06F16/285
摘要： Techniques are discussed for preparing and executing scanning plans for particular types of information, including personally identifiable information. A user indicates one or more datastores to be scanned for the particular type of information. A scanner determines scan objectives for the scanning plan and classifiers for use in scans conducted according to the scanning plan. The scanner estimates scan performance metrics and scan quality metrics. The scanner presents estimated results for the scanning plan based on the selected classifiers, scan objectives, estimate scan performance metrics, and estimated scan quality metrics. The user can modify the set of scan objectives or select between alternative sets of scan objectives. The scanning plan may be performed iteratively and the results of previous scan may be used to adjust classifiers or scan objectives to be used in subsequent scans.

3. 发明申请

WO2021139276A1 平台数据库自动化运维方法、装置及计算机可读存储介质审中-公开
公开(公告)号：WO2021139276A1
公开(公告)日：2021-07-15
申请号：PCT/CN2020/119124
申请日：2020-09-29
申请人：平安科技（深圳）有限公司
发明人：邹功博 , 李钊 , 万书武 , 李均
IPC分类号： G06F16/21 , G06F11/3442 , G06F11/3447 , G06F2201/80
摘要：一种平台数据库自动化运维方法，包括：基于用户的平台数据库，获取所述平台数据库中产生的实时数据集，对所述实时数据集进行聚类处理，生成标准数据集（S1）；计算所述标准数据集的自相关函数集和偏自相关函数集后得到自相关函数图集与偏相关函数图集（S2）；根据所述自相关函数图集和所述偏自相关函数图集，生成数据库配额预测模型（S3）；利用所述数据库配额预测模型从所述平台数据库中识别出需要进行空间配额的平台数据库，对需要进行配额的所述平台数据库进行标记处理后返回给用户，实现所述平台数据库的自动化运维（S4）。该方法实现了平台数据库自动化运维。

4. 发明申请

WO2023057955A1 ANOMALY-AWARE CLOUD RESOURCE MANAGEMENT SYSTEM RECEIVING EXTERNAL INFORMATION, AND INCLUDING SHORT- AND LONG-TERM RESOURCE PLANNING 审中-公开
公开(公告)号：WO2023057955A1
公开(公告)日：2023-04-13
申请号：PCT/IB2022/059567
申请日：2022-10-06
申请人： TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
发明人： GUTIERREZ, Marcial , TOKA, László , FODOR, Balázs , SONKOLY, Balázs
IPC分类号： G06F9/48 , G06F9/50 , G06N20/00 , G06F11/34 , G06F11/0754 , G06F11/3006 , G06F11/3442 , G06F2209/485 , G06F2209/501 , G06F2209/5019 , G06F2209/506 , G06F9/4881 , G06F9/5027
摘要： An anomaly-aware resource management system (14) in a cloud computing system (10) monitors a telecommunication application executing in the cloud (10), and detects or predicts anomalies based on internal metrics related to the performance and/or resource usage of the application, and external metrics derived from information obtained from systems external to the cloud. The internal and external metrics are combined (210) to generate combined metrics, which are stored. Based on the combined metrics and historical data, anomalies are detected or predicted (212). Based in part on the detected or predicted anomaly, telecommunication traffic is forecast. Short-term resource calculations of application resource allocations are performed based on part of the forecast traffic and a short-term optimization policy. Long-term optimization of application resource allocations is performed based on the short-term calculations and a long-term optimization policy.

5. 发明申请

WO2023075932A2 IMPLEMENTING A POLICY-BASED AGENT WITH PLUGIN INFRASTRUCTURE 审中-公开
公开(公告)号：WO2023075932A2
公开(公告)日：2023-05-04
申请号：PCT/US2022/042575
申请日：2022-09-05
申请人： MICROSOFT TECHNOLOGY LICENSING, LLC.
发明人： WANG, Weijian , LI, Na , SHI, Jun , WU, Yizhong , LUO, Xuling , HAN, Rongbin , SUN, Pin
IPC分类号： G06F9/48 , G06F11/30 , G06F11/34 , G06F9/50 , G06F9/445 , G06F11/3006 , G06F11/3017 , G06F11/302 , G06F11/3024 , G06F11/3037 , G06F11/3423 , G06F11/3442 , G06F2209/508 , G06F8/61 , G06F8/65 , G06F9/44526 , G06F9/485 , G06F9/4881 , G06F9/5072
摘要： The present disclosure relates to implementing, updating, and managing operation of a client agent on a client device (e.g., computing device, virtual device) in a way that enables isolation of features and functionality while also allowing the client agent to self-heal and intelligently update discrete features thereon. The client agent includes a collection of plugins that are isolated and run in accordance with respective plugin policies. The client agent makes use of device-level, agent-level, and plugin-level health monitors that collectively monitor a health status of discrete components of the client agent in a way that enables the client agent to selectively discontinue scheduling certain plugins without interrupting functionality of other plugins or of the client agent as a whole. Indeed, features described herein enable the client agent to intelligently update and self-heal with respect to individual plugins based on information obtained by the respective health monitors.

6. 发明申请

WO2022122486A2 POWER CAPACITY PLANNING FOR A COMPUTING SYSTEM 审中-公开
公开(公告)号：WO2022122486A2
公开(公告)日：2022-06-16
申请号：PCT/EP2021/083644
申请日：2021-11-30
申请人： EATON INTELLIGENT POWER LIMITED
发明人： LECUIVRE, Jerome
IPC分类号： G06N3/08 , G06N20/00 , G06F1/28 , G06F11/302 , G06F11/3062 , G06F11/3409 , G06F11/3442 , G06F2201/865 , G06F9/45533 , G06F9/5072
摘要： A computer-implemented method for power capacity planning for a computing system is disclosed, wherein the method comprises the following: a) evaluating (S10) an activity of the computing system, wherein the activity comprises the number of program instances executed by the computing system and the load incurred by the executed program instances; b) predicting (S12) an evolution of the activity based on the evaluated activity by using a first machine learning algorithm (10) configured for activity evolution prediction; c) predicting (S14) a power consumption of the computing system as a first power metric based on the predicted activity evolution and by using a second machine learning algorithm (12) configured for power consumption prediction of the computing system; d) predicting (S16) an autonomy of one or more uninterruptible power supplies of the computing system as a second power metric based on the predicted power consumption and by using a third machine learning algorithm (12') configured for configured for uninterruptible power supplies autonomy prediction and receiving as input the power consumption prediction of the computing system; e) predicting (S18) a redundancy level of the computing system as a third power metric based on the predicted power consumption and a power architecture of the computing system; f) generating (S20) output data related to power capacity planning by processing the first, second and third power metrics.

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