PATENT CLAIM ANALYSIS

Application Number: 15974522
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-05
Patent Classification: ["709", "224000"]

Abstract:
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.

Claim (Index 14):
An apparatus for searching large amounts of performance metric data using regular expressions, comprising:\n a) a data store manager running on a computer for receiving performance metric numbers collected in strings from a plurality of performance attributes of a plurality of resource types, converting each string of performance metric numbers to a string of Unicode text characters and storing each Unicode string in a flat file of a non relational database file system; b) a query request processor and a NRDB access manager running on a computer for performing the following steps: receiving a start and stop time request and syntax blocks defining a first resource type, a first performance attribute and a first regular expression defining a first filter criteria, a syntax block defining a addition of a related resource type, a second resource type as an argument to said syntax block an addition; parsing the search query and making a request for the all specified first performance attribute data of the first resource type; making a thread pool with one thread to process every instance of said first resource type; applying said first filter criterion to every thread for a first resource type, and if said first filter criterion involves any numbers, converting said numbers to Unicode before applying said first filter criterion; if any thread has its performance attribute data meet said first filter criterion, determining if there is a subpath to a subresource; if there is a subpath to a subresource, and if there is none, advancing processing to said search; search all threads that have qualified under said first filter criterion for a instance of said second resource type which was added as a related resource during said relevant interval; and presenting all instances of first resource types and the performance attribute data which qualified and which had an instance of said second resource type added during said relevant interval.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 93.0
- Lexical Diversity: 1.98198
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15376629', '15829697', '15425094', '14806550', '13200995']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.347114624524218
- 35 USC 102 Novelty (BERT): 0.5342845252212488
- Combined Prediction Score: 0.3658316145939211
- Mean Citation Score: 385.287312
- Max Citation Score: 396.23264
- Similarity Product: 306.929112178936

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test