Mobile Trading Device Power Management via Dynamic State Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile computing devices used for trading lack the processing power and network bandwidth to efficiently handle the increasing volume of market data, leading to rapid battery depletion when continuously connected, which can result in traders being unable to react to market events due to battery exhaustion.
Innovation Solution
An operational control module is implemented on mobile trading devices to monitor and adjust operating states based on factors like power level, power consumption, environment, and user activity, allowing for adjustments to transmission rates and device functionality to conserve battery life and extend usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If mobile trading devices continuously connect to the electronic exchange to receive market data and send orders, then trading responsiveness and market participation are improved, but battery life deteriorates due to rapid power depletion
Solution Approach 1:
The system dynamically adjusts the operational state of the mobile trading device based on real-time monitoring of power levels and trading activity. When power levels are high, the device operates in full functionality mode with continuous data reception and transmission. When power levels drop below thresholds, the system automatically transitions to power-saving modes, selectively reducing non-essential functions while maintaining critical trading operations, thus optimizing the balance between productivity and energy consumption
Solution Approach 2:
The system changes operational parameters such as screen brightness, processor clock speed, network transmission power, and sensor activity based on power level conditions. These parameter adjustments allow the device to maintain adequate trading functionality across varying battery states, preventing complete power depletion while adapting performance to available energy resources
2Productivity
If mobile computing devices process increasing volume of market data, then trading capability and market analysis are improved, but processing power requirements and energy consumption increase
Solution Approach 1:
The system implements selective data processing by prioritizing critical market data (e.g., price changes, order book updates) over less urgent information (e.g., detailed analytics, historical data). During low-power states, the device processes only essential real-time data needed for immediate trading decisions, while deferring or skipping computationally intensive analytics, thus maintaining core trading functionality with reduced power consumption
Data Source
AI summary
Certain embodiments provide a method including obtaining data at a first time using at least one sensor associated with a mobile computing device, the at least one sensor arranged to gather data regarding at least one operating factor for the mobile computing device, the mobile computing device configured to receive market data and execute a trading application. The example method includes analyzing the data obtained from the at least one sensor to determine the at least one operating factor. The example method includes determining a first operating state of the mobile computing device based on the at least one operating factor. The example method includes altering a function of the mobile computing device with respect to the trading application based on the first operating state.