Distributed Task Processing Across Connected Devices
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Solution Overview
Problem
Existing terminal devices face inefficiencies when using complex models for data processing, leading to slower responses and negatively impacting user experience.
Innovation Solution
A method for processing tasks that involves obtaining available resources from connected devices, allowing for the distribution and processing of tasks across multiple devices to improve efficiency and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex models are used for data processing to improve processing capability, then processing accuracy is improved, but processing speed deteriorates
Solution Approach 1:
The patent divides the complex data processing task into multiple sub-tasks and distributes them across different terminal devices. Each device processes a portion of the data using complex models, achieving both high processing accuracy through distributed computation and improved overall processing speed through parallel execution.
2Measurement precision
If complex models are used for data processing to improve processing capability, then processing accuracy is improved, but device resource consumption increases
Solution Approach 1:
The patent combines the computational resources of multiple terminal devices to collectively execute complex data processing tasks. By merging processing capabilities across devices, the system achieves high processing accuracy while distributing energy consumption, reducing the burden on any single device.
3Measurement precision
If complex models are used for data processing to improve processing capability, then processing accuracy is improved, but response time increases
Solution Approach 1:
The patent implements preliminary action by pre-processing and filtering data before distributing it to terminal devices for complex model processing. This reduces the computational burden on each device, maintaining high processing accuracy while significantly reducing overall response time through optimized task distribution.
Data Source
AI summary
The present disclosure relates to a method for processing a task, an electronic device and a storage medium. The method includes: obtaining an available resource for a to-be-processed task, and the to-be-processed task is a task of a device; and processing the to-be-processed task by using the available resource, in response to the to-be-processed task, the device is capable of connecting to at least one other device, and the available resource is provided by the device and/or the at least one other device.