Agent Program Task Execution with TTL and Classloader Isolation
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Solution Overview
Problem
Mission critical environments require uninterrupted operation and maintenance, posing challenges such as preventing single points of failure, managing memory and CPU usage, and executing complex processes without downtime.
Innovation Solution
An agent program manages tasks by receiving and executing task definitions, setting a time-to-live, authenticating sources, and using classloaders to isolate and concurrently execute tasks, allowing for dynamic updating and maintenance without interrupting services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If task definitions are stored in memory for continuous execution, then task execution reliability is improved, but memory usage increases
Solution Approach 1:
The patent implements a time-to-live (TTL) parameter for task definitions that changes based on execution count or elapsed time. When TTL expires, task definitions are automatically deleted from memory. This dynamic parameter change allows the system to maintain task definitions only as long as needed, balancing reliability requirements with memory conservation in mission-critical environments.
2Productivity
If multiple task definitions are executed concurrently, then productivity is improved, but system complexity increases
Solution Approach 1:
The patent segments the execution environment by creating isolated classloader instances for each task definition. Each classloader operates independently with its own memory space and execution context, allowing multiple tasks to run concurrently without interfering with each other. This segmentation reduces system complexity by containing potential conflicts within isolated segments rather than requiring complex global coordination mechanisms.
Solution Approach 2:
The classloader acts as an intermediary between task definitions and the execution environment. It manages the loading, isolation, and execution of task definitions, handling memory allocation and lifecycle management. This intermediary layer simplifies the overall system architecture by providing a standardized interface for concurrent task execution without requiring direct complex interactions between tasks.
3Adaptability or versatility
If task definitions are updated dynamically, then adaptability is improved, but risk of conflicts between processes increases
Solution Approach 1:
The patent implements authentication and validation mechanisms that perform preliminary actions before task definition updates are applied. The system verifies the authenticity of task definition sources and checks for potential conflicts before allowing updates to take effect. This preliminary validation prevents conflicting task definitions from being loaded, maintaining reliability while enabling dynamic adaptability.
Solution Approach 2:
The isolated classloader architecture provides beforehand cushioning by creating separate execution environments for each task definition. If a new task definition contains errors or conflicts, the isolation prevents these issues from propagating to other running tasks. This cushioning mechanism allows dynamic updates to proceed with reduced risk of system-wide failures.
Data Source
AI summary
Embodiments relate to systems, devices, and computer-implemented methods for provisioning, managing, and executing tasks. An agent program can be configured to receive task data, determine a task definition corresponding to the task data, retrieve the task definition, and execute the task definition using the task data. The agent program can additionally be configured to set a time-to-live for the task definition and locally delete the task definition when the time-to-live elapses.