Twilio inc. (20240176671). DATA PROCESSING AND MANAGEMENT simplified abstract
Contents
- 1 DATA PROCESSING AND MANAGEMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DATA PROCESSING AND MANAGEMENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
DATA PROCESSING AND MANAGEMENT
Organization Name
Inventor(s)
Christopher O'hara of Buderim (AU)
Achille Roussel of San Francisco CA (US)
DATA PROCESSING AND MANAGEMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240176671 titled 'DATA PROCESSING AND MANAGEMENT
Simplified Explanation
The abstract of the patent application describes a method for managing data by identifying an arbitrary graph with jobs for execution, determining a retry schedule, converting the graph into a directed acyclic graph, and processing it with an execution engine.
- The method involves identifying an arbitrary graph with multiple jobs for execution.
- It determines a retry schedule associated with the graph.
- The arbitrary graph is converted into a directed acyclic graph based on retry attempts.
- The directed acyclic graph is processed by the execution engine.
Potential Applications
This technology could be applied in various industries such as data management, task scheduling, and workflow optimization.
Problems Solved
This technology helps in efficiently managing data and executing tasks by converting complex graphs into simpler directed acyclic graphs.
Benefits
The benefits of this technology include improved data processing efficiency, optimized task execution, and enhanced workflow management.
Potential Commercial Applications
A potential commercial application of this technology could be in cloud computing services for optimizing data processing and task scheduling.
Possible Prior Art
One possible prior art for this technology could be existing methods for graph conversion and task scheduling algorithms.
Unanswered Questions
How does this technology compare to existing data management systems?
This article does not provide a direct comparison with existing data management systems to evaluate its advantages and limitations.
What are the specific industries that could benefit the most from this technology?
The article does not specify the industries that could potentially benefit the most from implementing this data management method.
Original Abstract Submitted
various embodiments include systems, methods, and non-transitory computer-readable media for managing data. consistent with these embodiments, a method includes identifying an arbitrary graph that includes a plurality of jobs for execution; determining a retry schedule associated with the arbitrary graph; converting the arbitrary graph into a directed acyclic graph based on the plurality of retry attempts; and processing, by the execution engine, the directed acyclic graph.
