PATENT CLAIM ANALYSIS

Application Number: 16100760
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["709", "226000"]

Abstract:
Implementing a fair share of resources among one or more scheduling peers. Resource allocations are received for a plurality of scheduling peers. For each scheduling peer, a usage percentage difference is determined between their respective usage percentage and configured share ratio. For a first competing peer that is served more than a second competing peer, resource allocation is adjusted such that resources from the first competing peer are allocated to the second competing peer based, at least in part, on a time decay factor function that gives less weight to the usage percentage difference as an age of the usage percentage difference increases.

Claim (Index 1):
A method to implement a fair share of resources among one or more scheduling peers, the method comprising:\n receiving, by one or more processors, a resource allocation for each scheduling peer in a plurality of scheduling peers; determining, by one or more processors, a usage percentage of each scheduling peer; determining, by one or more processors, a usage percentage difference between the usage percentage and a configured share ratio for each competing peer; and adjusting, by one or more processors, a resource allocation such that resources from a first competing peer are allocated to a second competing peer based, at least in part, on a time decay factor function that gives less weight to the usage percentage difference as an age of the usage percentage difference increases, wherein the first competing peer is served more than the second competing peer.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 96.0
- Lexical Diversity: 1.70769
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14869089', '14953453', '11151159', '13339586', '11488399']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2683728083771873
- 35 USC 102 Novelty (BERT): 0.5573657720853362
- Combined Prediction Score: 0.2972721047480022
- Mean Citation Score: 274.979694
- Max Citation Score: 449.74866
- Similarity Product: 350.01978037668226

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

Dataset: test