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公开(公告)号：US10706093B2
公开(公告)日：2020-07-07
申请号：US16274542
申请日：2019-02-13
IPC分类号： G06F16/36 , G06F21/55 , G06F16/43 , G06F16/84 , G06F16/14 , G06F16/185 , G06F16/245 , G06F16/25 , G06F16/28 , G06F16/33 , G06F16/335 , G06F16/951 , G06F16/242 , G06F16/2452 , G06F16/2453 , G06F16/2455 , G06F16/2458 , G06F16/901 , G06F16/9032 , G06F16/9535 , G06F16/903 , G05B23/02 , G06F11/34 , G06F11/30 , H04L12/26 , H04L12/46 , H04L29/08 , H04L29/06 , G06F40/205 , G06F16/332 , G06F16/338 , G06F16/383 , G06F16/31 , G06F16/248 , G06F40/126 , G06F40/146
摘要： A system to collect and store in a special data structure arranged for rapid searching massive amounts of data. Performance metric data is one example. The performance metric data is recorded in time-series measurements, converted into unicode, and arranged into a special data structure having one directory for every day which stores all the metric data collected that day. The data structure at the server where analysis is done has a subdirectory for every resource type. Each subdirectory contains text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions.
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公开(公告)号：US10592545B2
公开(公告)日：2020-03-17
申请号：US16112601
申请日：2018-08-24
IPC分类号： G06F16/36 , G06F21/55 , G06F17/27 , G06F16/43 , G06F16/84 , G06F16/14 , G06F16/185 , G06F16/245 , G06F16/25 , G06F16/28 , G06F16/33 , G06F16/335 , G06F16/951 , G06F16/242 , G06F16/2452 , G06F16/2453 , G06F16/2455 , G06F16/2458 , G06F16/901 , G06F16/9032 , G06F16/9535 , G06F16/903 , G05B23/02 , G06F11/34 , G06F11/30 , H04L12/26 , H04L12/46 , H04L29/08 , H04L29/06 , G06F16/332 , G06F16/338 , G06F16/383 , G06F16/31 , G06F16/248 , G06F17/22
摘要： A system to collect and store in a special data structure arranged for rapid searching massive amounts of data. Performance metric data is one example. The performance metric data is recorded in time-series measurements, converted into unicode, and arranged into a special data structure having one directory for every day which stores all the metric data collected that day. The data structure at the server where analysis is done has a subdirectory for every resource type. Each subdirectory contains text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions.
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公开(公告)号：US20190146987A1
公开(公告)日：2019-05-16
申请号：US15974522
申请日：2018-05-08
IPC分类号： G06F16/36 , G06F16/903 , G06F11/30 , G06F11/34 , H04L12/26 , G06F16/2452 , G06F16/9535 , G06F16/9032 , G06F16/901 , G06F16/33 , G06F16/2458 , G06F16/2455 , G06F16/2453 , G06F16/242 , G06F16/951 , G06F16/335 , G06F16/28 , G06F16/25 , G06F16/245 , G06F16/185 , G06F16/14 , G06F16/84 , G06F16/43 , G06F17/27 , G06F21/55 , G06F16/31 , G06F16/332 , G06F16/338 , G06F16/383 , H04L29/08 , H04L29/06 , H04L12/46
摘要： A system to collect and store in a special data structure arranged for rapid searching massive amounts of data. Performance metric data is one example. The performance metric data is recorded in time-series measurements, converted into unicode, and arranged into a special data structure having one directory for every day which stores all the metric data collected that day. The performance metric data is collected by one or more probes running on machines about which data is being collected. The performance metric data is compressed prior to transmission to a server over any data path. The data structure at the server where analysis is done has a subdirectory for every resource type. Each subdirectory contains text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions. For speed, cache memory is used. Performance metric data outside the start time and end time named by the user on a query screen is eliminated before the regular expression is applied.
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公开(公告)号：US20180316579A1
公开(公告)日：2018-11-01
申请号：US16024590
申请日：2018-06-29
CPC分类号： G06F17/30551 , G06F11/3006 , G06F11/3072 , G06F11/3082 , G06F11/3409 , G06F11/3476 , G06F17/2217 , G06F17/2252 , G06F17/2705 , G06F17/30023 , G06F17/30106 , G06F17/30221 , G06F17/30392 , G06F17/30424 , G06F17/30427 , G06F17/3043 , G06F17/30442 , G06F17/30477 , G06F17/30542 , G06F17/30554 , G06F17/30569 , G06F17/30592 , G06F17/30595 , G06F17/30657 , G06F17/30669 , G06F17/30675 , G06F17/30699 , G06F17/30864 , G06F17/30867 , G06F17/30917 , G06F17/30958 , G06F17/30967 , G06F17/30979 , G06F17/30985 , G06F21/552 , G06F2216/03 , H04L12/4625 , H04L29/06 , H04L29/06047 , H04L29/08072 , H04L29/08099 , H04L43/022 , H04L43/04 , H04L43/12 , H04L43/14
摘要： A system to collect and store in a special data structure arranged for rapid searching massive amounts of data. Performance metric data is one example. The performance metric data is recorded in time-series measurements, converted into unicode, and arranged into a special data structure having one directory for every day which stores all the metric data collected that day. The performance metric data is collected by one or more probes running on machines about which data is being collected. The performance metric data is compressed prior to transmission to a server over any data path. The data structure at the server where analysis is done has a subdirectory for every resource type. Each subdirectory contains text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions. For speed, cache memory is used. Performance metric data outside the start time and end time named by the user on a query screen is eliminated before the regular expression is applied.
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公开(公告)号：US20170147657A1
公开(公告)日：2017-05-25
申请号：US15425094
申请日：2017-02-06
CPC分类号： H04L43/022 , G06F11/3006 , G06F11/3072 , G06F11/3082 , G06F11/3409 , G06F11/3476 , G06F17/2217 , G06F17/2252 , G06F17/2705 , G06F17/30023 , G06F17/30106 , G06F17/30221 , G06F17/30392 , G06F17/30424 , G06F17/30427 , G06F17/3043 , G06F17/30442 , G06F17/30477 , G06F17/30542 , G06F17/30551 , G06F17/30554 , G06F17/30569 , G06F17/30592 , G06F17/30595 , G06F17/30657 , G06F17/30669 , G06F17/30675 , G06F17/30699 , G06F17/30864 , G06F17/30867 , G06F17/30917 , G06F17/30958 , G06F17/30967 , G06F17/30979 , G06F17/30985 , G06F21/552 , G06F2216/03 , H04L12/4625 , H04L29/06 , H04L29/06047 , H04L29/08072 , H04L29/08099 , H04L43/04 , H04L43/12 , H04L43/14
摘要： A system to collect and analyze performance metric data recorded in time-series measurements, converted into unicode, and arrange into a special data structure. The performance metric data is collected by one or more probes running on machines about which data is being collected. The performance metric data is also organized into a special data structure and then compressed prior to transmission to a server over any data path. The data structure at the server where analysis is done has a directory for every day of performance metric data collected with a subdirectory for every resource type. Each subdirectory contain text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions. For speed, cache memory is used and the performance metric data outside the start time and end time named by the user on a query screen is eliminated before the regular expression is applied.
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公开(公告)号：US20130091266A1
公开(公告)日：2013-04-11
申请号：US13200996
申请日：2011-10-05
IPC分类号： G06F15/16
CPC分类号： G06F16/36 , G05B23/0272 , G06F11/3006 , G06F11/3072 , G06F11/3082 , G06F11/3409 , G06F11/3476 , G06F16/148 , G06F16/185 , G06F16/2423 , G06F16/245 , G06F16/2452 , G06F16/24522 , G06F16/2453 , G06F16/2455 , G06F16/2468 , G06F16/2477 , G06F16/248 , G06F16/258 , G06F16/283 , G06F16/284 , G06F16/31 , G06F16/3329 , G06F16/3331 , G06F16/3337 , G06F16/334 , G06F16/335 , G06F16/338 , G06F16/383 , G06F16/43 , G06F16/86 , G06F16/9024 , G06F16/9032 , G06F16/90335 , G06F16/90344 , G06F16/951 , G06F16/9535 , G06F17/2217 , G06F17/2252 , G06F17/2705 , G06F21/552 , G06F2216/03 , H04L12/4625 , H04L29/06 , H04L29/06047 , H04L29/08072 , H04L29/08099 , H04L43/022 , H04L43/04 , H04L43/12 , H04L43/14 , H04L67/025 , H04L67/42 , H04L69/329
摘要： A system to collect and analyze performance metric data recorded in time-series measurements, converted into unicode, and arranged into a special data structure. The performance metric data is collected by one or more probes running on machines about which data is being collected. The performance metric data is also organized into a special data structure. The data structure at the server where analysis is done has a directory for every day of performance metric data collected with a subdirectory for every resource type. Each subdirectory contain text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions.
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公开(公告)号：US20130091168A1
公开(公告)日：2013-04-11
申请号：US13200995
申请日：2011-10-05
IPC分类号： G06F17/30
CPC分类号： G06F17/30551 , H04L41/0853 , H04L43/04 , H04L43/12
摘要： A system to collect and analyze performance metric data recorded in time-series measurements, converted into unicode, and arranged into a special data structure. The performance metric data is collected by one or more probes running on machines about which data is being collected. The performance metric data is also organized into a special data structure. The data structure at the server where analysis is done has a directory for every day of performance metric data collected with a subdirectory for every resource type. Each subdirectory contain text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions.
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公开(公告)号：US11138252B2
公开(公告)日：2021-10-05
申请号：US16880665
申请日：2020-05-21
申请人： CUMULUS SYSTEMS INC. , Ajit Bhave , Arun Ramachandran , Sai Krishnam Raju Nadimpalli , Sandeep Bele
IPC分类号： G06F16/36 , G06F21/55 , G06F16/43 , G06F16/84 , G06F16/14 , G06F16/185 , G06F16/245 , G06F16/25 , G06F16/28 , G06F16/33 , G06F16/335 , G06F16/951 , G06F16/242 , G06F16/2452 , G06F16/2453 , G06F16/2455 , G06F16/2458 , G06F16/901 , G06F16/9032 , G06F16/9535 , G06F16/903 , G05B23/02 , G06F11/34 , G06F11/30 , H04L12/26 , H04L12/46 , H04L29/08 , H04L29/06 , G06F40/205 , G06F16/332 , G06F16/338 , G06F16/383 , G06F16/31 , G06F16/248 , G06F40/126 , G06F40/146 , G06F40/106
摘要： A system to collect and store in a special data structure arranged for rapid searching massive amounts of data. Performance metric data is one example. The performance metric data is recorded in time-series measurements, converted into unicode, and arranged into a special data structure having one directory for every day which stores all the metric data collected that day. The data structure at the server where analysis is done has a subdirectory for every resource type. Each subdirectory contains text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers. Analysis of the performance metric data is done using regular expressions. Performance metric data outside the start time and end time named by the user on a query screen is eliminated before the regular expression is applied. A first regular expression finds data which qualifies and which is used as a starting point for simultaneous searches by second and third regular expressions. Data which qualifies the second and third regular expressions is merged with data which qualified the first regular expression.
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公开(公告)号：US11010414B2
公开(公告)日：2021-05-18
申请号：US16296037
申请日：2019-03-07
IPC分类号： G06F16/36 , G06F21/55 , G06F16/43 , G06F16/84 , G06F16/14 , G06F16/185 , G06F16/245 , G06F16/25 , G06F16/28 , G06F16/33 , G06F16/335 , G06F16/951 , G06F16/242 , G06F16/2452 , G06F16/2453 , G06F16/2455 , G06F16/2458 , G06F16/901 , G06F16/9032 , G06F16/9535 , G06F16/903 , G05B23/02 , G06F11/34 , G06F11/30 , H04L12/26 , H04L12/46 , H04L29/08 , H04L29/06 , G06F40/205 , G06F16/332 , G06F16/338 , G06F16/383 , G06F16/31 , G06F16/248 , G06F40/126 , G06F40/146 , G06F40/106
摘要： A system to collect and store in a special data structure arranged for rapid searching massive amounts of data. Performance metric data is one example. The performance metric data is recorded in time-series measurements, converted into Unicode, and arranged into a special data structure having one directory for every day which stores all the metric data collected that day. The data structure at the server where analysis is done has a subdirectory for every resource type. Each subdirectory contains text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as Uinicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions.
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公开(公告)号：US20200301956A1
公开(公告)日：2020-09-24
申请号：US16880665
申请日：2020-05-21
IPC分类号： G06F16/36 , G06F21/55 , G06F16/43 , G06F16/84 , G06F16/14 , G06F16/185 , G06F16/245 , G06F16/25 , G06F16/28 , G06F16/33 , G06F16/335 , G06F16/951 , G06F16/242 , G06F16/2452 , G06F16/2453 , G06F16/2455 , G06F16/2458 , G06F16/901 , G06F16/9032 , G06F16/9535 , G06F16/903 , G05B23/02 , G06F11/34 , G06F11/30 , H04L12/26 , H04L12/46 , H04L29/08 , H04L29/06 , G06F40/205 , G06F16/332 , G06F16/338 , G06F16/383 , G06F16/31
摘要： A system to collect and store in a special data structure arranged for rapid searching massive amounts of data. Performance metric data is one example. The performance metric data is recorded in time-series measurements, converted into unicode, and arranged into a special data structure having one directory for every day which stores all the metric data collected that day. The performance metric data is collected by one or more probes running on machines about which data is being collected. The performance metric data is compressed prior to transmission to a server over any data path. The data structure at the server where analysis is done has a subdirectory for every resource type. Each subdirectory contains text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions. For speed, cache memory is used. Performance metric data outside the start time and end time named by the user on a query screen is eliminated before the regular expression is applied.
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