PATENT CLAIM ANALYSIS

Application Number: 16386868
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["709", "224000"]

Abstract:
An accurate monitoring system for a multi-tenant system monitors each data stream of the multi-tenant system and determines the identity of the tenant using each of the data streams, and the application that the tenant is accessing. Aspects of each data stream are aggregated by a bucket aggregator to track and record trends for each tenant and/or each application. The aggregated data could be filtered, sorted, and reported for accurate subscription billing for each of the tenants and/or applications within a multi-tenant system.

Claim (Index 1):
A system for measuring usage of at least one computer resource within a multi-tenant system, comprising:\n a metering engine configured to monitor a plurality of data streams of the multi-tenant system; an identity engine configured to identify a first user who initiated a portion of the plurality of data streams from a group of users comprising the first user and a second user; a bucket aggregator configured to aggregate activity from the first user as a function of the portion of the plurality of data streams to create a total activity aggregate of the first user; a subscription engine configured to generate a summary of the total activity aggregate of the first user; and a throttling engine configured to limit access of at least one of the first user and the second user to a first zone when the total activity aggregate of all instances that belong to the first zone exceeds a threshold.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 100.0
- Lexical Diversity: 1.89362
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14814625', '14815323', '15800463', '14815801', '16266941']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2285401022261897
- 35 USC 102 Novelty (BERT): 0.5099665328749294
- Combined Prediction Score: 0.2566827452910637
- Mean Citation Score: 206.370612
- Max Citation Score: 312.7913
- Similarity Product: 290.8660252028941

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

Dataset: test