Patents by Inventor Sai Krishnam Raju Nadimpalli
Sai Krishnam Raju Nadimpalli has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Patent number: 11366844Abstract: 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.Type: GrantFiled: April 30, 2020Date of Patent: June 21, 2022Assignee: Cumulus Systemsm Inc.Inventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Patent number: 11361013Abstract: 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.Type: GrantFiled: June 24, 2020Date of Patent: June 14, 2022Assignee: Cumulus Systems, Inc.Inventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Patent number: 11138252Abstract: 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.Type: GrantFiled: May 21, 2020Date of Patent: October 5, 2021Assignee: Cummins Systems Inc.Inventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Patent number: 11010414Abstract: 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.Type: GrantFiled: March 7, 2019Date of Patent: May 18, 2021Assignee: CUMULUS SYSTEMS INC.Inventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Publication number: 20200364255Abstract: 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.Type: ApplicationFiled: June 24, 2020Publication date: November 19, 2020Applicant: CUMULUS SYSTEMS INC.Inventors: AJIT BHAVE, ARUN RAMACHANDRAN, SAI KRISHNAM RAJU NADIMPALLI, SANDEEP BELE
-
Publication number: 20200301956Abstract: 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.Type: ApplicationFiled: May 21, 2020Publication date: September 24, 2020Applicant: CUMULUS SYSTEMS INC.Inventors: AJIT BHAVE, ARUN RAMACHANDRAN, SAI KRISHNAM RAJU NADIMPALLI, SANDEEP BELE
-
Publication number: 20200257716Abstract: 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.Type: ApplicationFiled: April 30, 2020Publication date: August 13, 2020Applicant: CUMULUS SYSTEMS INC.Inventors: AJIT BHAVE, ARUN RAMACHANDRAN, SAi KRISHNAM RAJU NADIMPALLI, SANDEEP BELE
-
Patent number: 10706093Abstract: 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.Type: GrantFiled: February 13, 2019Date of Patent: July 7, 2020Assignee: CUMULUS SYSTEMS INC.Inventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Patent number: 10678833Abstract: 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.Type: GrantFiled: May 8, 2018Date of Patent: June 9, 2020Inventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Patent number: 10621221Abstract: 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.Type: GrantFiled: June 29, 2018Date of Patent: April 14, 2020Assignee: CUMULUS SYSTEMS INC.Inventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Patent number: 10592545Abstract: 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.Type: GrantFiled: August 24, 2018Date of Patent: March 17, 2020Assignee: Cumulus Systems IncInventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Publication number: 20190354547Abstract: 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.Type: ApplicationFiled: May 13, 2019Publication date: November 21, 2019Applicant: CUMULUS SYSTEMS INC.Inventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Publication number: 20190205327Abstract: 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.Type: ApplicationFiled: March 7, 2019Publication date: July 4, 2019Applicant: CUMULUS SYSTEMS INC.Inventors: Ajit BHAVE, Arun RAMACHANDRAN, Sai Krishnam Raju NADIMPALLI, Sandeep BELE
-
Publication number: 20190179844Abstract: 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.Type: ApplicationFiled: February 13, 2019Publication date: June 13, 2019Applicant: CUMULUS SYSTEMS INC.Inventors: AJIT BHAVE, ARUN RAMACHANDRAN, SAI KRISHNAM RAJU NADIMPALLI, SANDEEP BELE
-
Publication number: 20190146987Abstract: 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.Type: ApplicationFiled: May 8, 2018Publication date: May 16, 2019Applicant: CUMULUS SYSTEMS INC.Inventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Patent number: 10257057Abstract: 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.Type: GrantFiled: February 6, 2017Date of Patent: April 9, 2019Assignee: CUMULUS SYSTEMS INC.Inventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Patent number: 10180971Abstract: 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.Type: GrantFiled: December 1, 2017Date of Patent: January 15, 2019Assignee: Cumulus Systems Inc.Inventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Publication number: 20190012352Abstract: 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.Type: ApplicationFiled: August 24, 2018Publication date: January 10, 2019Applicant: CUMULUS SYSTEMS INC.Inventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Publication number: 20180225339Abstract: 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.Type: ApplicationFiled: December 1, 2017Publication date: August 9, 2018Applicant: CUMULUS SYSTEMS INC.Inventors: AJit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele
-
Patent number: 10044575Abstract: 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.Type: GrantFiled: December 12, 2016Date of Patent: August 7, 2018Assignee: CUMULUS SYSTEMS INC.Inventors: Ajit Bhave, Arun Ramachandran, Sai Krishnam Raju Nadimpalli, Sandeep Bele