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 1):
A network switch that detects microbursts comprising:\n a plurality of input/output (\u201cI/O\u201d) ports; for each I/O port, a plurality of queues; a buffer memory; a physical processor implementing machine readable instructions to: dynamically determine, for each queue of the network switch, a drop threshold based on a user-determined amount of memory available in the buffer memory after usage of the buffer memory by the plurality of queues for the plurality of ports; dynamically determine, for each queue, a monitoring threshold based on the determined drop threshold; detect, for each queue, whether a microburst exists based on whether throughput on the queue exceeds the determined monitoring threshold; and report information about a set of queues experiencing microburst events in the network switch based on the detection of microbursts for each 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): 0.5190582080848933
- 35 USC 102 Novelty (BERT): 0.474995488395954
- Combined Prediction Score: 0.5146519361159995
- Mean Citation Score: 160.82250000000005
- Max Citation Score: 189.50114
- Similarity Product: 143.2166839310634

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