Context-Aware Charger Offloading Computational Tasks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication devices face challenges in efficiently offloading computationally intensive tasks and power-consuming activities, leading to increased battery drain and computational burden.
Innovation Solution
A context-aware device charger within a secure device ecosystem offloads tasks by receiving context states from trusted devices, performing computations, and transmitting results back to the devices while also providing charging functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If devices perform computationally intensive tasks locally, then task execution capability is improved, but battery drain and computational burden increase
Solution Approach 1:
The patent extracts computationally intensive tasks from the mobile device and relocates them to the device charger. The charger receives task information from the device, executes the computations externally, and returns results, thereby removing the computational burden from the device while maintaining task execution capability.
Solution Approach 2:
The device charger acts as an intermediary computing resource between the mobile device and the cloud/server. Instead of the device directly communicating with remote servers for heavy computations, the charger serves as a local mediator that can process tasks externally, reducing the device's energy consumption while maintaining computational productivity.
2Productivity
If devices perform power-consuming activities locally, then task completion is improved, but battery life deteriorates
Solution Approach 1:
The patent extracts power-consuming activities such as file syncing, data uploads, and computational tasks from the mobile device and performs them on the device charger. This externalization allows task completion to proceed without depleting the device's battery, thereby extending battery life while maintaining productivity.
3Productivity
If devices handle complex computations, then processing capability is improved, but processor and memory usage increase
Solution Approach 1:
The patent extracts complex computational tasks from the device's processor and memory system and relocates them to the device charger's processing resources. The charger receives task parameters from the device, executes the computations using its own processing capabilities, and returns results, thereby reducing the device's processor and memory usage while maintaining overall processing capability.
Data Source
AI summary
This disclosure provides methods, components, devices, and systems for providing task offloading services from a device onto a device charger in a secure device ecosystem. Some aspects, more specifically, relate to a context-aware device charger communicating with a trusted device within the secure device ecosystem where the device can offload tasks and computations to the device charger. In some aspects, the trusted device transmits a context state during operation across the secure device ecosystem, which can be received by the device charger, where the context state includes a task associated with an activity on the device. The device charger may perform services associated with the task, such as performing computations associated with the task, and may transmit information associated with the computations back to the trusted device.