Context-Aware Edge Network Request Routing for Energy Conservation
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Solution Overview
Problem
Existing systems fail to efficiently process data requests on devices that are asleep or unavailable, leading to inefficient power consumption and limited functionality due to devices remaining awake to perform functionalities.
Innovation Solution
A device network manager utilizes context-aware software, real-time monitoring, and machine learning algorithms to generate an energy conservation policy, redirecting data processing requests to optimize energy use by identifying devices in sleep mode and implementing backup strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If devices remain awake to perform functionalities, then functionality is maintained, but power consumption increases
Solution Approach 1:
The system dynamically transitions devices between awake and sleep modes based on real-time monitoring of data processing requests. Devices are placed in sleep mode when no requests are pending and awakened when requests arrive, allowing the system to adapt its operational state to current workload conditions and optimize the balance between functionality and power consumption.
Solution Approach 2:
The system proactively places devices in sleep mode before data processing requests arrive, based on prediction algorithms that analyze historical request patterns and device usage. This preliminary action allows devices to conserve energy during periods when requests are unlikely to occur, while ensuring functionality is restored when needed.
2Use of energy by moving object
If devices are set in sleep mode to conserve power, then power consumption decreases, but functionality is limited
Solution Approach 1:
The system continuously monitors data processing requests and device states, using this feedback to dynamically adjust device operational modes. When requests are detected for sleeping devices, the system receives feedback and immediately wakes the appropriate devices, ensuring functionality is maintained while maximizing energy savings during idle periods.
Solution Approach 2:
The patent introduces an intermediary layer (the energy conservation policy system) that mediates between data processing requests and device execution. This intermediary monitors request patterns, predicts device availability, and coordinates wake/sleep transitions, allowing the system to maintain functionality while optimizing power consumption through intelligent request routing and device state management.
3Use of energy by moving object
If data processing requests are sent to asleep devices, then energy is conserved, but request processing efficiency decreases
Solution Approach 1:
The system performs preliminary actions by placing devices in sleep mode in advance based on predicted idle periods and historical request patterns. By anticipating when devices will not be needed, the system can conserve energy proactively while ensuring devices are awakened or requests are redirected before deadlines are approached, maintaining processing efficiency.
Solution Approach 2:
The patent introduces an intermediary layer (the energy conservation policy system) that mediates between data processing requests and device execution. This intermediary monitors request patterns, predicts device availability, and coordinates wake/sleep transitions, allowing the system to maintain functionality while optimizing power consumption through intelligent request routing and device state management.
Data Source
AI summary
A device network manager, that monitors edge and Internet of Things (IoT) devices on a device network, receives a data processing request, wherein the data processing request specifies an edge device to process data. In response to receiving the data processing request, the device network manager performs a method that includes making a determination that the edge device is in sleep mode, based on the determination, obtaining an energy conservation policy from device network storage, determining a backup strategy for the data processing request using the energy conservation policy, and applying the backup strategy to service the data processing request.


