PATENT CLAIM ANALYSIS

Application Number: 15952849
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["719", "318000"]

Abstract:
Events are raised by a worker thread that is executing a workflow, when the worker thread starts, suspends, resumes and ends execution of the workflow. A latency detection system, that is external to the worker thread, detects when these events are raised and logs a timestamp and a stack trace, corresponding to the workflow and the event that was raised.

Claim (Index 14):
A computer implemented method, comprising:\n receiving a service request; assigning the service request a transaction identifier; identifying a plurality of workflows corresponding to the request, each workflow having a set of tasks to be executed to generate a response to the request; activating, with a first worker thread, computing subroutines to execute the tasks in a first workflow of the identified workflows; maintaining a runtime stack indicative of the computing subroutines that are active; raising a latency event, with the first worker thread, when a latency operation is performed in executing the tasks in the first workflow; detecting the latency event at an event detector that is separate from the first worker thread; generating control signals to capture a timestamp and to capture a stack trace of the runtime stack, in response to the latency event; and aggregating captured timestamps and captured stack traces across the plurality of different workflows corresponding to the request, based on the transaction identifier to identify an end-to-end latency indicative of a time to respond to the request, based on the aggregated timestamps.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 91.0
- Lexical Diversity: 1.78947
- Patent Class: 719.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['09320252', '14708128', '09557334', '14817790', '13270227']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4966943636299432
- 35 USC 102 Novelty (BERT): 0.487908579725693
- Combined Prediction Score: 0.4958157852395182
- Mean Citation Score: 175.318586
- Max Citation Score: 197.06573
- Similarity Product: 138.95017699777662

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

Dataset: test