Computing Power Sharing Exception Handling via Dynamic Workload Reassignment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In distributed computing, non-dedicated terminals often experience CPU or memory overload and low battery issues due to tasks like network videos or games, leading to potential interruptions if exceptions are not timely detected and handled.
Innovation Solution
A method and apparatus for reporting and handling exceptions in computing power sharing, which involve detecting hardware and battery states, reporting exceptions to a network unit, and reassessing workload distribution based on thresholds, allowing for dynamic reassignment of workloads to other terminals if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If terminals participate in distributed computing with high CPU or memory utilization, then computing power sharing capability is improved, but system stability deteriorates due to hardware exceptions
Solution Approach 1:
The patent implements preliminary monitoring of hardware states (CPU utilization, memory utilization, battery level) before exceptions occur. By setting threshold values for these parameters, the system can detect potential exceptions in advance and trigger preventive actions, such as notifying the network side to reassign workloads, thereby maintaining system stability while enabling computing power sharing.
2Ease of operation
If terminals run resource-intensive applications like network videos or games, then user experience is improved, but computing power sharing reliability deteriorates due to resource conflicts
Solution Approach 1:
The patent establishes a feedback mechanism where the terminal continuously monitors its hardware state and reports to the network side. When resource-intensive applications are running, the system detects changes in CPU, memory, or battery states and feeds this information back to the network controller, which can then dynamically adjust or reassign computing tasks to maintain reliable computing power sharing despite local resource conflicts.
3Loss of time
If exception detection thresholds are set low for timely detection, then exception detection speed is improved, but false positive rate increases leading to unnecessary workload reassignment
Solution Approach 1:
The patent employs multiple threshold parameters for different hardware states (CPU utilization threshold, memory utilization threshold, battery level threshold) rather than a single uniform threshold. This allows the system to adjust detection sensitivity for each resource type independently, balancing timely exception detection with reduction of false positives. The network side receives detailed state information and can make informed decisions about whether actual reassignment is necessary.
Data Source
AI summary
Provided are a method and an apparatus for reporting and handling an exception in computing power sharing, a storage medium, and a terminal device. The method for reporting an exception in computing power sharing includes: detecting a current hardware state and a current battery state; and reporting an exception to a network unit, in a case that the hardware state or the battery state reaches a preset exception threshold, or in a case that a change of the hardware state or a change of the battery state reaches a preset reporting threshold. The method for handling an exception in computing power sharing includes: receiving an exception reported from a cooperative computing terminal; determining a total workload assigned to the cooperative computing terminal and a remaining workload of the cooperative computing terminal; and determining, based on the exception and the remaining workload, to reassign the remaining workload or the total workload.