Device-Cloud Service Migration for Battery-Limited Computing
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Solution Overview
Problem
The challenge of providing enhanced user experience 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 migrate services to cloud-side nodes, utilizing cloud-side nodes to allocate runtimes for service execution, thereby reducing device-side computing power and energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If device-side computing power is used to provide high-quality services, then user experience is improved, but device battery life is reduced
Solution Approach 1:
The patent segments service execution between device-side and cloud-side. Local services are executed on the device while cloud services are migrated to remote servers. This segmentation allows the device to maintain basic functionality without consuming excessive battery power for computationally intensive tasks, thus resolving the contradiction between providing high-quality services and preserving battery life.
Solution Approach 2:
The patent extracts heavy computational tasks from the device and places them in the cloud. By taking out resource-intensive services (such as complex image processing, video rendering, and large data analytics) from the device-side and executing them on cloud servers, the device conserves its battery power while still accessing high-quality service results.
2Ease of manufacture
If device-side computing power is increased to meet user demands, then service quality is improved, but device complexity increases
Solution Approach 1:
The patent transitions service execution from a single dimension (device-side only) to a two-dimensional architecture (device-cloud collaboration). By adding the cloud dimension to the computing architecture, the system can provide high-quality services without increasing device complexity, as the cloud infrastructure absorbs the computational burden.
3Adaptability or versatility
If more services are executed on device-side, then functionality is improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic service routing that adapts to device conditions. Services are dynamically selected to be executed locally or in the cloud based on factors such as battery level, network connectivity, and task complexity. This dynamic approach allows the system to maintain full functionality while optimizing energy consumption by executing appropriate services on the most suitable platform.
Data Source
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.