Multi-Threaded Operation Restructuring with Sequential Task Queues
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing multi-threaded processes in wireless communication systems face issues such as race conditions, deadlocks, and concurrent modification due to simultaneous execution of operations, leading to unpredictable behavior and system crashes.
Innovation Solution
A system that restructures complex processes to run on a single processor thread by analyzing operations, categorizing them based on type and dependency, dividing them into tasks, queuing these tasks, and executing them sequentially to minimize race conditions and deadlocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple operations are executed simultaneously on multiple processor threads to increase efficiency, then productivity is improved, but race conditions and deadlocks occur leading to system instability
Solution Approach 1:
The patent segments complex multi-threaded operations into smaller, independent tasks that can be executed sequentially. Each task is broken down into discrete units that can be queued and processed one at a time, eliminating race conditions while maintaining processing throughput through task batching and parallel queue execution.
Solution Approach 2:
The patent introduces a task queue as an intermediary layer between operation reception and execution. This queue mediates the flow of tasks, allowing operations to be submitted asynchronously while execution occurs sequentially through a task executor, thereby decoupling submission from execution and eliminating direct thread interference.
2Reliability
If operations are executed sequentially on a single processor thread to minimize race conditions, then system stability is improved, but productivity decreases
Solution Approach 1:
The patent maintains continuous useful action by implementing an asynchronous task submission mechanism where operations can be queued continuously without blocking the execution thread. The task executor continuously processes tasks from the queue, ensuring uninterrupted processing flow while maintaining sequential execution safety.
Solution Approach 2:
The patent performs preliminary actions by pre-processing and validating operations before they are submitted to the task queue. Tasks are prepared and structured in advance, allowing the executor to process them sequentially without interruption or re-validation, thereby maintaining high throughput with sequential execution.
3Reliability
If complex processes are restructured into categorized tasks with dependencies to eliminate race conditions, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal task structure that can represent any operation type with standardized fields for dependencies, priority, and execution context. This multi-functional task template handles diverse operations (data processing, I/O, computation) through a single unified interface, reducing the apparent complexity despite the sophisticated task management capabilities.
Data Source
AI summary
The system can receive a request to perform multiple operations on multiple threads of the processor. An operation is a structured set of tasks used to perform a specific computation required to execute the requested process. The system can analyze the multiple operations to determine a type of operation or dependency on other operations. The system can categorize the multiple operations based on the analysis. The system can divide each operation into at least one task and generate a queue of tasks. The queue of tasks contains the tasks for each of the multiple operations. Generating the queue of tasks converts the multiple operations from a multi-threaded process to a single-threaded process. The system can execute, on a single thread of the processor, the queue of tasks and output a result for each task executed in the queue of tasks.