PATENT CLAIM ANALYSIS

Application Number: 16357110
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["370", "231000"]

Abstract:
During a Transmission Control Protocol (“TCP”) session, a sending endpoint computer monitors amounts of data sent and patterns of data loss as data is sent to a receiving endpoint computer. The sending endpoint computer periodically determines whether data is being sent below, at or above path capacity, based on the monitored amounts of data sent and patterns of data loss observed. The sending endpoint computer periodically dynamically adjusts the rate at which data is sent to the receiving endpoint computer, in response to the determinations whether data is being sent below, at or above path capacity.

Claim (Index 10):
A system comprising:\n at least one physical processor; physical memory comprising computer-executable instructions that, when executed by the physical processor, cause the physical processor to: analyze one or more data transmission characteristics during a Transmission Control Protocol (\u201cTCP\u201d) session between a sending endpoint computer and a receiving endpoint computer; determine whether data is being sent below, at, or above path capacity, based on the analyzed data transmission characteristics; determine that one or more tokens were assigned to a specified management cycle of the TCP session, each token indicating an amount of data that is transmittable to the receiving endpoint computer during the management cycle; divide the one or more tokens into a plurality of token slices; and pace release of the plurality of token slices across the management cycle.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.11765
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15391335', '11768336', '11317663', '09989957', '12357304']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4597969650344654
- 35 USC 102 Novelty (BERT): 0.6146885884492973
- Combined Prediction Score: 0.4752861273759486
- Mean Citation Score: 255.00162000000003
- Max Citation Score: 563.1685
- Similarity Product: 492.0383843199015

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

Dataset: test