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 19):
A computing system, comprising:\n request receiving logic that receives a request, assigns the request a transaction identifier and identifies 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; task execution logic, in a first worker thread, that activates computing subroutines in the computing system to execute the tasks in a first workflow of the identified workflows; a memory that stores a runtime stack indicative of the computing subroutines of the computing system that are active; event raising logic that raises a latency event when a latency operation is performed by the task execution logic in executing the tasks in the first workflow; time capture logic that captures a time stamp; stack trace capture logic that captures a stack trace of the runtime stack; event processing logic, external to the first worker thread, that detects the latency event and generates control signals to control the time capture logic to capture a timestamp and to control the stack trace capture logic to capture a stack trace of the runtime stack, in response to the latency event; and data aggregation logic that aggregates captured timestamps and captured stack traces across the plurality of different workflows corresponding to the request, based on the transaction identifier and 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): 0.4968838144037193
- 35 USC 102 Novelty (BERT): 0.4871578343151037
- Combined Prediction Score: 0.4959112163948578
- Mean Citation Score: 175.318586
- Max Citation Score: 197.06573
- Similarity Product: 140.0399856701529

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