PATENT CLAIM ANALYSIS

Application Number: 15957809
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["702", "186000"]

Abstract:
A facility comprising systems and method for automatically triggering the collection of comprehensive monitoring information in a distributed processing system. The facility compares the overall performance of distributed processing system to one or more performance metrics and, in response to determining that one or more performance metrics is not satisfied, triggers one or more of the nodes within the distributed processing system to increase one or more of its monitoring rate or its distribution rate. The facility collects and analyzes the collected information to provide resources that can be used to assess and diagnose failures within the distributed processing system. In this manner, the facility reacts to performance anomalies by triggering nodes within in the system to provide comprehensive performance information over a trigger period for diagnostic purposes.

Claim (Index 29):
The network computer of  claim 24 , wherein the monitoring of one or more metrics to collect data further comprises, assigning a separate original monitor rate or a separate modified monitor rate to one or more of the metrics based on the one or more metrics and the one or more nodes.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 91.0
- Lexical Diversity: 2.04545
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15694229', '14971790', '15891311', '11859264', '14702080']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1864351606590831
- 35 USC 102 Novelty (BERT): 0.4539598491244927
- Combined Prediction Score: 0.2131876295056241
- Mean Citation Score: 110.472506
- Max Citation Score: 122.144
- Similarity Product: 94.69869775009155

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

Dataset: test