PATENT CLAIM ANALYSIS

Application Number: 15965977
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["370", "229000"]

Abstract:
Examples provided herein describe a method for facilitating detection of microbursts in queues. For example, a physical processor of a computing device may dynamically determine, for each queue of a plurality of queues of a network switch, whether a monitoring threshold based on an amount of usage of a buffer memory by the plurality of queues. The physical processor may detect, for each queue, whether congestion exists based on whether throughput on the queue exceeds the determined monitoring threshold. The first physical processor may then report information about a set of queues experiencing microbursts in the network switch based on the detection of congestion for each queue.

Claim (Index 14):
A method for detecting microbursts, comprising:\n responsive to receiving a first packet in a first queue associated with a first input/output (\u201cI/O\u201d) port, determining a first drop threshold for the first queue based on a user-determined amount of memory available in a buffer memory after usage of the buffer memory by a plurality of queues, wherein the buffer memory is communicably coupled to the first queue; responsive to receiving the first packet, dynamically determining a first monitoring threshold based on a minimum of a maximum queue size for the first queue and the determined first drop threshold; and responsive to determining that a queue size of the first queue at the time of the arrival of the first packet is greater than the dynamically determined first monitoring threshold, reporting a microburst event of the first queue.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 91.0
- Lexical Diversity: 2.10909
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15670263', '14793126', '13953692', '13953684', '15613242']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5193046280841705
- 35 USC 102 Novelty (BERT): 0.4740310035475773
- Combined Prediction Score: 0.5147772656305112
- Mean Citation Score: 160.82250000000005
- Max Citation Score: 189.50114
- Similarity Product: 144.50974119432212

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

Dataset: test