Local Data Collector Dynamic Channel Formatting
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Solution Overview
Problem
Complex systems face challenges in timely power management due to insufficient channel capacity for conveying power management data, leading to improper actions that negatively impact system performance.
Innovation Solution
A system with local data collectors and a system collector that dynamically selects the most efficient channel for conveying power management data, ensuring timely communication by periodically collecting and formatting data from multiple channels based on their characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple channels are used for data collection, then the capacity for conveying power management data is improved, but the device complexity increases
Solution Approach 1:
The system divides data collection into multiple independent channels, each handling specific power management data streams. Local data collectors segment the data collection task across multiple subsystems, while the system collector segments the aggregation process by selecting from multiple available channels. This segmentation increases the total channel capacity without requiring a single complex channel to handle all data.
Solution Approach 2:
The system implements dynamic channel selection where the system collector adaptively chooses from multiple available channels based on current system conditions and channel states. This dynamic approach allows the system to optimize data flow through available channels, increasing effective capacity while maintaining manageable complexity through flexible, condition-based routing rather than fixed complex architecture.
2Loss of time
If dynamic channel selection is implemented, then the timeliness of power management data communication is improved, but the device complexity increases
Solution Approach 1:
The system performs preliminary channel assessment and state monitoring, maintaining knowledge of channel conditions in advance when data needs to be collected. The system collector has pre-established awareness of channel states, allowing it to make rapid selection decisions without complex real-time analysis, thus improving timeliness while keeping the selection logic manageable.
Solution Approach 2:
The system implements feedback mechanisms where channel states are continuously monitored and reported back to the system collector. This feedback loop enables the collector to make informed channel selection decisions based on current conditions, improving communication timeliness through adaptive routing while the feedback structure itself provides a organized, manageable framework for handling the complexity.
Data Source
AI summary
A system with a local data collector that collects power management data for a subsystem. The local data collector can determine whether a first formatting associated with a first channel between the local data collector and a system power management data collector is equivalent to a second formatting associated with a second channel between the local data collector and the system power management data collector, and in response to a determination that the first formatting and second formatting are not equivalent format the power management data according to the first formatting; store the power management data formatted according to the first formatting in a first location in a memory; format the power management data according to the second formatting; and store the power management data formatted according to the second formatting in a second location the memory.