PATENT CLAIM ANALYSIS

Application Number: 15947734
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["707", "822000"]

Abstract:
A large event log replay method and system are provided. The large event log replay method includes counting event logs generated in a process before a next process performed subsequent to the process and maintaining a log file that records the event logs in a storage system, verifying a log file corresponding to a process included in an access command for a log replay page from the storage system in response to the access command being generated, and generating a plurality of split log files by dividing the verified log file into a set size and acquiring the plurality of split log files from the storage system.

Claim (Index 6):
The large event log replay method of  claim 1 , further comprising:\n predicting a remaining processing time for each of cases associated with a sequence of the event logs based on at least one of a frequency and an event occurrence time verified from a timestamp included in each of the event logs; selecting a first case in which the remaining processing time is predicted to be greater than a reference time interval, and deriving a node associated with the first case as a bottleneck point of the process; dividing all event logs included in the log file based on the first case, and generating the plurality of split log files; and sequentially rendering event logs included in each of the plurality of split log files, visualizing the log replay page and preventing the bottleneck point from being displayed on the log replay page.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.05556
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['11716960', '13271978', '15361760', '14894042', '15195830']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2165914885473907
- 35 USC 102 Novelty (BERT): 0.4793479408855609
- Combined Prediction Score: 0.2428671337812077
- Mean Citation Score: 174.481698
- Max Citation Score: 183.83043
- Similarity Product: 130.56389014553727

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test