Device-Cloud Service Offloading for Battery-Constrained Computing
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Solution Overview
Problem
The challenge of providing enhanced user experiences with limited device-side computing power and battery life in electronic devices, as Moore's Law slows down, necessitating a shift in computing resources to meet user demands.
Innovation Solution
A device-cloud collaborative working method where device-side devices offload services to cloud-side nodes, utilizing cloud-side runtimes to execute applications, thereby reducing device-side computing power and energy consumption while extending battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If device-side computing power is improved through iterative upgrade of manufacturing process, then user experience is improved, but improvement speed decelerates due to Moore's Law slowing down
Solution Approach 1:
The patent transitions from a single-dimension device-side computing model to a multi-dimensional device-cloud collaborative computing model. By introducing cloud-side computing resources as a new dimension, the system overcomes the saturation of device-side manufacturing improvements and achieves continued performance enhancement through distributed computing architecture.
Solution Approach 2:
The patent segments computing tasks between device-side and cloud-side, dividing the overall computing workload into local execution components and remote processing components. This segmentation allows the device to maintain responsive user interaction while offloading intensive computations to the cloud, thereby sustaining improvement momentum without being constrained by device manufacturing cycles.
2Power
If device-side computing power is increased to provide better user experience, then service quality is improved, but energy consumption increases and battery life decreases
Solution Approach 1:
The patent extracts intensive computing tasks from the device-side and relocates them to cloud-side resources. By removing the energy-intensive computational workload from the device, the system maintains high service quality through cloud processing while the device consumes minimal energy, thereby extending battery life without compromising user experience.
3Duration of action of moving object
If device-side computing power is limited, then battery life is preserved, but service quality and user experience deteriorate
Solution Approach 1:
The patent introduces cloud-side computing resources as an intermediary between the device and the user's service quality requirements. The device maintains low power consumption and long battery life by leveraging this intermediary, which provides the additional computing power needed to deliver high-quality services without requiring the device itself to have high processing capabilities.
Data Source
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AI summary
This application discloses a device-cloud collaborative working method, a related apparatus, and a communication system. A device-side device and a cloud-side device collaboratively process a service, to collaboratively meet a service requirement of a user. In this solution, a part or all of services are migrated to a cloud, so that stronger and higher-quality services can be provided, computing power and energy consumption of the device-side device can be reduced, a battery life of the device-side device can be prolonged, and better device use experience can be provided for a user.