Thread Diversion for Logging Latency
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Solution Overview
Problem
In computing systems, threads often idle or go into sleep mode while waiting for event logging to complete, leading to inefficient resource utilization due to fixed processing capability and the need for synchronous or asynchronous call returns.
Innovation Solution
Implementing a thread diversion process where threads perform state-less or context-free diversion tasks while awaiting event logging completion, allowing efficient use of threads without context switching, even during short latency periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If threads are kept idle or in sleep mode while waiting for event logging completion, then the logging operation can complete accurately, but the thread utilization efficiency deteriorates and processing productivity decreases
Solution Approach 1:
The patent applies this principle by enabling threads to continuously perform useful diversion tasks during the event logging operation. Instead of idle waiting, threads execute alternative computational tasks that utilize their processing capability productively throughout the entire logging latency period, maintaining continuous useful action without interruption.
Solution Approach 2:
The patent applies this principle by pre-selecting and preparing diversion tasks that can be immediately executed when a thread enters the logging wait state. The system has a pool of pre-approved diversion tasks ready to be assigned, allowing threads to transition seamlessly into productive work without delay.
2Productivity
If threads perform diversion tasks while awaiting logging completion, then thread utilization and productivity improve, but the system complexity increases due to task management overhead
Solution Approach 1:
The patent applies this principle by designing diversion tasks that are universal and can be executed by any thread regardless of its original function. The tasks are designed to be thread-agnostic and can be performed by any available thread in the pool, making the system more flexible while managing complexity through standardization.
Solution Approach 2:
The patent applies this principle by dynamically adjusting thread behavior based on system state parameters. When logging operations are in progress, threads transition from their primary task parameters to diversion task parameters. The system monitors logging status and thread availability, changing operational parameters to optimize utilization without permanent structural changes.
3Speed
If context switching is avoided during diversion tasks, then processing speed improves and time loss is reduced, but the adaptability to handle stateful tasks deteriorates
Solution Approach 1:
The patent applies this principle by segmenting tasks into stateless diversion tasks and stateful primary tasks. Diversion tasks are specifically selected to be stateless operations that can execute quickly without requiring context preservation. This segmentation allows the system to optimize for speed during diversion while maintaining adaptability for stateful tasks through separate handling mechanisms.
Solution Approach 2:
The patent applies this principle by using disposable, stateless diversion tasks that are executed once and discarded. These tasks are designed to complete quickly without requiring persistent state or complex context management. After execution, the thread returns to its primary stateful tasks, effectively using cheap, short-lived operations to bridge waiting periods.
Data Source
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AI summary
The efficient use of threads that issue calls to log events. While waiting for the call to return or complete, the threads are put to work on other tasks that are not part of the process that generated the event. This can occur without context switching of the thread, especially when the task to be performed is state-less or context free. In the efficient thread diversion process, the thread calls a logging component to log an event. This blocks the thread from continuing work on a process that the event is part of until the event is logged. The thread then performs a diversion task that is not part of the processing unit that the event is part of. After detecting that the event has logged, the thread continues work on the processing unit that the event is part of.