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41. 发明申请

WO2020171914A1 RECURSIVE DATA TRAVERSAL MODEL 审中-公开
公开(公告)号：WO2020171914A1
公开(公告)日：2020-08-27
申请号：PCT/US2020/014977
申请日：2020-01-24
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： BALASUBRAHMANIAN, Kaarthik , HUMES, Donald Creig , TADEPALLI, Sridhar , SHAH, Rajesh Ashwinbhai
IPC分类号： G06F16/27
摘要： One or more embodiments interpret a configuration graph to efficiently and optimally construct requests and fetch data from a datastore. The values of objects of a requested data type are used to generate additional queries for pre-fetching data from the datastore. Specifically, the values are used to query for and retrieve a corresponding subset of objects of another, related data type. Recursively querying for and retrieving objects of related data types based on already retrieved objects builds a data cache of relevant objects. The cached, relevant objects may be useful in subsequent queries that are likely to follow the initial query.

42. 发明申请

WO2019089123A1 IDENTIFYING AN HTTP RESOURCE USING MULTI-VARIANT HTTP REQUESTS 审中-公开
公开(公告)号：WO2019089123A1
公开(公告)日：2019-05-09
申请号：PCT/US2018/049317
申请日：2018-09-04
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： PERL, Ivan Andreevich
IPC分类号： G06F17/30 , H04L29/08
摘要： Techniques for multi-variant HTTP requests to identify one or more HTTP resources are disclosed. A server receives an HTTP request to carry out an operation, extracts a field name and a field value recited in the HTTP request, and defines a query based on the field name and the field value. The server executes the query to identify any resources with the field value for a field with the field name and identifies a resource in a set of query results corresponding to the query. The server carries out the operation on the identified resource in the set of query results.

43. 发明申请

WO2019060130A1 INTEGRATED FAN BRAKING MECHANISM 审中-公开
公开(公告)号：WO2019060130A1
公开(公告)日：2019-03-28
申请号：PCT/US2018/049316
申请日：2018-09-04
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： INNES, Eric Munro
IPC分类号： F04D27/00 , G06F1/20
摘要： A fan system is disclosed that includes a braking mechanism for physically stopping rotation of a fan rotor. The braking mechanism is activated when the fan system is at least partially removed from a chassis or enclosure or when the chassis or enclosure including the fan system is opened. The fan rotor, of the fan system, may include a rotating blade assembly configured to rotate around an axis. A fan motor, of the fan system, is configured to cause rotation of the rotating blade assembly around the axis. The braking mechanism, of the fan system, is configured to apply friction to at least one component of the fan rotor when the braking mechanism is engaged. Application of friction to the at least one component of the fan rotor may stop rotation of the rotating blade assembly around the axis.

44. 发明申请

WO2018186949A1 COMPOSITE FILE SYSTEM COMMANDS 审中-公开
公开(公告)号：WO2018186949A1
公开(公告)日：2018-10-11
申请号：PCT/US2018/020369
申请日：2018-03-01
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： BYERS, Brandon , HOOPER, Stephen
IPC分类号： G06F17/30
CPC分类号： G06F16/183 , G06F16/13 , G06F16/148 , G06F16/17
摘要： Techniques for processing composite commands in a file system are disclosed. A file system receives a composite command that includes an argument. The file system parses the argument and encounters a particular flag indicating that the argument includes an additional command. The file system executes the additional command using an application programming interface (API).

45. 发明申请

WO2017027228A1 EXTENDING A VIRTUAL MACHINE INSTRUCTION SET ARCHITECTURE 审中-公开
标题翻译：扩展虚拟机指令集架构
公开(公告)号：WO2017027228A1
公开(公告)日：2017-02-16
申请号：PCT/US2016/044533
申请日：2016-07-28
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： HAUPT, Michael , CIMADAMORE, Maurizio , GOETZ, Brian
IPC分类号： G06F9/45 , G06F9/455
CPC分类号： G06F8/41 , G06F8/437 , G06F8/447 , G06F9/45508
摘要： Operations include a compilation process and a runtime process. A compiler compiles code to generate virtual machine instructions. The compiler further generates information referencing respective parameter types of the parameters of a target virtual machine instruction. The compiler stores the information external to and in association with the target virtual machine instruction. The information may be included in another virtual machine instruction that precedes the target virtual machine instruction. A runtime environment processes the target virtual machine instruction based on the information stored external to and in association with the target virtual machine instruction. Parameter types referenced by the external information override parameter types that are (a) referenced by the target virtual machine instruction itself, (b) deduced by the runtime environment and/or (c) stored directly in association with the parameter values.
摘要翻译：操作包括编译过程和运行时过程。编译器编译代码生成虚拟机指令。编译器进一步产生参考目标虚拟机指令参数的相应参数类型的信息。编译器将信息存储在目标虚拟机指令外部并与其关联。信息可以包括在目标虚拟机指令之前的另一个虚拟机指令中。运行时环境根据存储在目标虚拟机指令外部和与目标虚拟机指令相关联的信息来处理目标虚拟机指令。由外部信息引用的参数类型覆盖由目标虚拟机指令本身引用的参数类型，（b）由运行时环境推导的和/或（c）直接与参数值相关联存储。

46. 发明申请

WO2012044333A1 DATA STORAGE OPTIMIZATION FOR A VIRTUAL PLATFORM 审中-公开
标题翻译：虚拟平台的数据存储优化
公开(公告)号：WO2012044333A1
公开(公告)日：2012-04-05
申请号：PCT/US2010/054709
申请日：2010-10-29
申请人： DISKEEPER CORPORATION , JENSEN, Craig , QUAN, Gary , CADRUVI, Richard , THOMAS, Basil
发明人： JENSEN, Craig , QUAN, Gary , CADRUVI, Richard , THOMAS, Basil
IPC分类号： G06F3/06
CPC分类号： G06F3/0665 , G06F3/061 , G06F3/064 , G06F3/0643 , G06F3/0674 , G06F3/0689
摘要： A method for storing data in virtual system is described. The method includes selecting virtual blocks in the virtual disk for storage of data based on contiguous logical blocks, in a disk file residing on physical storage media, that are mapped to the virtual blocks.
摘要翻译：描述了一种在虚拟系统中存储数据的方法。该方法包括：选择虚拟磁盘中的虚拟块，用于存储映射到虚拟块的驻留在物理存储介质上的磁盘文件中的连续逻辑块的数据。

47. 发明申请

WO2011056870A2 METHOD AND SYSTEM FOR BRAND NAME IDENTIFICATION 审中-公开
标题翻译：品牌名称识别方法与系统
公开(公告)号：WO2011056870A2
公开(公告)日：2011-05-12
申请号：PCT/US2010/055296
申请日：2010-11-03
申请人： YAHOO! INC. , SCHULMAN, Robert , SELVARAJ, Sathiya Keerthi , KAKADE, Vinay , ABROL, Mani , BASU, Amit , IYER, Arun Shankar , BOHANNON, Philip
发明人： SCHULMAN, Robert , SELVARAJ, Sathiya Keerthi , KAKADE, Vinay , ABROL, Mani , BASU, Amit , IYER, Arun Shankar , BOHANNON, Philip
IPC分类号： G06F17/30
CPC分类号： G06F17/30997
摘要： A method for identifying a brand name is described herein. The method involves obtaining category keywords associated with a category, designating a subgroup of the category keywords as brand name keywords for a particular brand name, receiving a search term, determining that the search term is a brand name keyword, and identifying the particular brand name corresponding to the brand name keyword.
摘要翻译：本文描述了用于识别品牌名称的方法。该方法涉及获得与类别相关联的类别关键词，将类别关键字的子组指定为特定品牌名称的品牌关键字，接收搜索词，确定搜索词是品牌名称关键字，以及识别特定品牌名称对应品牌名称关键字。

48. 发明申请

WO2023091204A1 RECOMMENDATION GENERATION USING MACHINE LEARNING DATA VALIDATION 审中-公开
公开(公告)号：WO2023091204A1
公开(公告)日：2023-05-25
申请号：PCT/US2022/040855
申请日：2022-08-19
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： ROHRKEMPER, James, Charles , BACLAWSKI, Kenneth, Paul , GAWLICK, Dieter , GROSS, Kenny, C. , WANG, Guang, Chao , CHYSTIAKOVA, Anna , SONDEREGGER, Richard, Paul , LIU, Zhen, Hua
IPC分类号： G06F11/07 , G06F11/30 , G06F11/34
摘要： Techniques for using machine learning model validated sensor data to generate recommendations for remediating issues in a monitored system are disclosed. A machine learning model is trained to identify correlations among sensors for a monitored system. Upon receiving current sensor data, the machine learning model identifies a subset of the current sensor data that cannot be validated. The system generates estimated values for the sensor data that cannot be validated based on the learned correlations among the sensor values. The system generates the recommendations for remediating the issues in the monitored system based on validated sensor values and the estimated sensor values.

49. 发明申请

WO2023278396A1 DATA TAPE MEDIA QUALITY VALIDATION AND ACTION RECOMMENDATION 审中-公开
公开(公告)号：WO2023278396A1
公开(公告)日：2023-01-05
申请号：PCT/US2022/035249
申请日：2022-06-28
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： JHATAKIA, Jitesh Bakul , WYMAN, Robert Olin , ABBOTT, Frank Patrick, JR. , LUEHR, Carl William , WHARTON, Cathleen Susan , BLACK, John Mitchell, III , BRAUN, Anthony Joseph , ELLETT, Scott Adrian , NOBLE, George Edward
IPC分类号： G06F3/06 , G06F11/34 , G06F11/008 , G06F11/0766 , G06F11/0793 , G06F11/3034 , G06F3/0605 , G06F3/0617 , G06F3/0653 , G06F3/0686 , G06N20/00 , G06N5/04 , G11B27/36
摘要： Techniques for generating action recommendations for a data tape system are disclosed. A data tape system generates action recommendations for a data tape based on library-based metadata messages as well as a measured data quality value of the data tape. The system initiates an operation resulting in the data tape interacting with a media drive. A data tape library controller generates one or more metadata messages based on a result of a requested operation. The metadata message may include information regarding the type of error and a default recommended course of action. The system generates the recommended action for the data tape using a trained machine learning model.

50. 发明申请

WO2023278342A1 DATA TAPE QUALITY ANALYSIS 审中-公开
公开(公告)号：WO2023278342A1
公开(公告)日：2023-01-05
申请号：PCT/US2022/035153
申请日：2022-06-27
申请人： ORACLE INTERNATIONAL CORPORATION
发明人： WYMAN, Robert Olin , ABBOTT JR., Frank Patrick
IPC分类号： G06F3/06 , G06F11/34 , G06F11/10 , G06F18/214 , G06F3/0605 , G06F3/0619 , G06F3/0632 , G06F3/0653 , G06F3/0686 , G11B5/5508 , G11B5/5534
摘要： Techniques for determining a data tape read quality value are disclosed. A data tape system generates a value representing a quality of a data tape based on attributes of the data tape. The system calculates the data quality value using an algorithm based on: (a) a particular data tape error correction value, (b) data tape length value representing a length of data tape traversed during data-processing operations, and (c) a scaling factor. The scaling factor is based on a relationship between the particular data tape error correction value and a rate of degradation of the data tape. The scaling factor may be generated by applying a trained machine learning model to attributes of a data tape. The model generates a scaling factor for a particular data tape based on the attributes of the particular data tape.

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