专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US10140287B2 Scalable and accurate mining of control flow from execution logs across distributed systems 有权
公开(公告)号：US10140287B2
公开(公告)日：2018-11-27
申请号：US14848970
申请日：2015-09-09
申请人： International Business Machines Corporation
发明人： Gargi Banerjee Dasgupta , Atri Mandal , Animesh Nandi , Anindya Neogi , Sriram Raghavan , Suriya Subramanian
IPC分类号： G06F17/30 , G06F17/27 , G06F11/30 , G06F17/24
摘要： Methods and arrangements for efficiently mining a control flow graph from execution logs of a distributed system. Using at least one text clustering technique, two text clusters are generated from the plurality of execution logs. At least one approximate template is generated based on the at least two text clusters. At least one refined template is created via refining the at least one approximate template using multimodal sequencing. The control flow graph is created based on the at least one refined template. An anomaly is detected in the control flow graph.

2. 发明授权

US10127251B2 Organizing on-disk layout of index structures to support historical keyword search queries over temporally evolving data 有权
公开(公告)号：US10127251B2
公开(公告)日：2018-11-13
申请号：US14795223
申请日：2015-07-09
申请人： International Business Machines Corporation
发明人： Prasad M. Deshpande , Animesh Nandi , Narendran Sachindran , Suriya Subramanian
IPC分类号： G06F17/30
摘要： Methods, systems, and computer program products for organizing on-disk layout of index structures are provided herein. A method includes organizing an on-disk corpus of data index structures; partitioning each data index structure into an active and/or latest state data partition and an archived data partition; sub-partitioning each of the archived data partitions into sub-partitions based on exact lifespan of each data item; executing a search query that includes temporal predicates and keyword predicates across the corpus by: pruning a collection of identified items of data from the corpus that contain the keyword predicates using range metadata associated with the temporal predicates to generate a pruned list of data items; and performing a list intersection operation on the data index structures to generate a list of common data items from the pruned list; retrieving the common data items from the active and/or latest state data partitions and the archived data sub-partitions.

3. 发明授权

US09772898B2 Identifying root causes of failures in a deployed distributed application using historical fine grained machine state data 有权
公开(公告)号：US09772898B2
公开(公告)日：2017-09-26
申请号：US14852006
申请日：2015-09-11
申请人： International Business Machines Corporation
发明人： Prasad Manikarao Deshpande , Animesh Nandi , Suriya Subramanian
IPC分类号： G06F11/00 , G06F11/07 , G06F11/22 , G06F11/16 , G06F11/30 , G06F11/32
CPC分类号： G06F11/079 , G06F11/0709 , G06F11/1629 , G06F11/2268 , G06F11/3006 , G06F11/321 , G06F11/3409 , H04L41/0631 , H04L41/064 , H04L41/065
摘要： Methods and arrangements for identifying root causes of system failures in a distributed system said method including: utilizing at least one processor to execute computer code that performs the steps of: recording, in a storage device, collected machine state data, wherein the collected machine state data are added to historical machine state data; creating, based on the historical machine state data, a healthy map model; detecting at least one failed machine state in the distributed system; comparing the failed machine state against the healthy map model; identifying, based on the comparison, at least one root cause of the failed machine state; and displaying, on a display device, a ranked list comprising the at least one root cause. Other variants and embodiments are broadly contemplated herein.

4. 发明申请

US20170075744A1 IDENTIFYING ROOT CAUSES OF FAILURES IN A DEPLOYED DISTRIBUTED APPLICATION USING HISTORICAL FINE GRAINED MACHINE STATE DATA 有权
标题翻译：使用历史精细机械状态数据识别分布式应用中故障的根本原因
公开(公告)号：US20170075744A1
公开(公告)日：2017-03-16
申请号：US14852006
申请日：2015-09-11
申请人： International Business Machines Corporation
发明人： Prasad Manikarao Deshpande , Animesh Nandi , Suriya Subramanian
IPC分类号： G06F11/07 , G06F11/32 , G06F11/30 , G06F11/22 , G06F11/16
CPC分类号： G06F11/079 , G06F11/0709 , G06F11/1629 , G06F11/2268 , G06F11/3006 , G06F11/321 , G06F11/3409 , H04L41/0631 , H04L41/064 , H04L41/065
摘要： Methods and arrangements for identifying root causes of system failures in a distributed system said method including: utilizing at least one processor to execute computer code that performs the steps of: recording, in a storage device, collected machine state data, wherein the collected machine state data are added to historical machine state data; creating, based on the historical machine state data, a healthy map model; detecting at least one failed machine state in the distributed system; comparing the failed machine state against the healthy map model; identifying, based on the comparison, at least one root cause of the failed machine state; and displaying, on a display device, a ranked list comprising the at least one root cause. Other variants and embodiments are broadly contemplated herein.
摘要翻译：用于识别分布式系统中的系统故障的根本原因的方法和装置，所述方法包括：利用至少一个处理器执行计算机代码，其执行以下步骤：在存储装置中记录收集的机器状态数据，其中所收集的机器状态数据被添加到历史机器状态数据; 根据历史机器状态数据创建健康的地图模型; 在分布式系统中检测至少一个故障机器状态; 将失败的机器状态与健康的地图模型进行比较; 基于比较来识别故障机器状态的至少一个根本原因; 以及在显示设备上显示包括所述至少一个根本原因的排名列表。本文中广泛考虑了其他变型和实施例。

5. 发明申请

US20170068709A1 SCALABLE AND ACCURATE MINING OF CONTROL FLOW FROM EXECUTION LOGS ACROSS DISTRIBUTED SYSTEMS 审中-公开
标题翻译：分布式系统执行日志控制流程的可分级和精确采矿
公开(公告)号：US20170068709A1
公开(公告)日：2017-03-09
申请号：US14848970
申请日：2015-09-09
申请人： International Business Machines Corporation
发明人： Gargi Banerjee Dasgupta , Atri Mandal , Animesh Nandi , Anindya Neogi , Sriram Raghavan , Suriya Subramanian
IPC分类号： G06F17/30 , G06F17/27
CPC分类号： G06F17/2785 , G06F11/30 , G06F17/248 , G06F17/30705
摘要： Methods and arrangements for efficiently mining a control flow graph from execution logs of a distributed system. Using at least one text clustering technique, two text clusters are generated from the plurality of execution logs. At least one approximate template is generated based on the at least two text clusters. At least one refined template is created via refining the at least one approximate template using multimodal sequencing. The control flow graph is created based on the at least one refined template. An anomaly is detected in the control flow graph.
摘要翻译：从分布式系统的执行日志高效挖掘控制流程图的方法和安排。使用至少一个文本聚类技术，从多个执行日志生成两个文本簇。基于至少两个文本簇生成至少一个近似模板。通过使用多模式测序精制至少一个近似模板来创建至少一个精制模板。基于至少一个精化模板创建控制流程图。在控制流程图中检测到异常。

6. 发明申请

US20170011073A1 Organizing On-Disk Layout of Index Structures to Support Historical Keyword Search Queries Over Temporally Evolving Data 审中-公开
标题翻译：组织索引结构的磁盘布局，以支持历史关键字搜索查询数据
公开(公告)号：US20170011073A1
公开(公告)日：2017-01-12
申请号：US14795223
申请日：2015-07-09
申请人： International Business Machines Corporation
发明人： Prasad M. Deshpande , Animesh Nandi , Narendran Sachindran , Suriya Subramanian
IPC分类号： G06F17/30
CPC分类号： G06F17/30303 , G06F17/30309
摘要： Methods, systems, and computer program products for organizing on-disk layout of index structures are provided herein. A method includes organizing an on-disk corpus of data index structures; partitioning each data index structure into an active and/or latest state data partition and an archived data partition; sub-partitioning each of the archived data partitions into sub-partitions based on exact lifespan of each data item; executing a search query that includes temporal predicates and keyword predicates across the corpus by: pruning a collection of identified items of data from the corpus that contain the keyword predicates using range metadata associated with the temporal predicates to generate a pruned list of data items; and performing a list intersection operation on the data index structures to generate a list of common data items from the pruned list; retrieving the common data items from the active and/or latest state data partitions and the archived data sub-partitions.
摘要翻译：本文提供了用于组织索引结构的磁盘布局的方法，系统和计算机程序产品。一种方法包括组织数据索引结构的磁盘语料库; 将每个数据索引结构划分为活动和/或最新状态数据分区和归档数据分区; 基于每个数据项的确切寿命，将每个归档数据分区子分割成子分区; 执行搜索查询，其通过以下方式执行包括语料库的时间谓词和关键词谓词的搜索查询：通过使用与时间谓词相关联的范围元数据从包含关键词谓词的语料库中删除所识别的数据集合，以生成修剪的数据项列表; 对所述数据索引结构执行列表相交操作，以从所述修剪的列表生成公共数据项的列表; 从活动和/或最新状态数据分区和归档数据子分区中检索公共数据项。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式