PATENT CLAIM ANALYSIS

Application Number: 16042277
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["709", "226000"]

Abstract:
Customers of shared resources in a multi-tenant environment can have token buckets allocated that have an associated depth and fill rate, with each token enabling the customer to obtain an amount of work from a shared resource. A resource management system can monitor one or more system or output metrics, and can adjust a global fill rate based at least in part upon values of the monitored metrics. Such an approach can provide a fair distribution of work among the customers, while ensuring that the metrics stay within acceptable ranges and there are no drastic changes in performance levels of the system. The fill rate can update dynamically with changes in the monitored parameters, such that the system can float near an equilibrium point. Commitments for specific minimum service levels also can be met.

Claim (Index 19):
The computer-implemented method of  claim 15 , further comprising:\n monitoring a system performance parameter of a network resource performing the IOPs; determining a metric value of the system performance parameter; and determining the metric value of the system performance parameter is above a threshold; and deallocating use credits from the first user according to a credit replenishment rate, wherein the credit replenishment rate based, at least in part, on the metric value.

Metadata:
- Claim Count in Document: 28.0
- Percentile: 95.0
- Lexical Diversity: 1.625
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13429735', '15454958', '13775001', '12749451', '13620251']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2076633648901069
- 35 USC 102 Novelty (BERT): 0.4823001595752764
- Combined Prediction Score: 0.2351270443586238
- Mean Citation Score: 138.62858599999998
- Max Citation Score: 170.47127
- Similarity Product: 119.78932129496872

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

Dataset: test