Storage Access Management via Non-Access Proportion Analysis
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Solution Overview
Problem
Computer systems and servers waste significant power by maintaining storage devices in an active state even when the data they store is not frequently accessed, leading to inefficient energy usage.
Innovation Solution
A data access management apparatus and method that generates an enabling signal to control storage units to enter a standby or disable state based on the non-access proportion of data, using a first processing unit to calculate access times and determine the appropriate state, and optionally transferring data to a secondary storage unit when the non-access proportion exceeds a preset threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If storage devices are kept in duty state to ensure data accessibility, then data access reliability is improved, but power consumption increases
Solution Approach 1:
The storage device dynamically transitions between duty state, standby state, and disable state based on access frequency and time tags. The system adjusts the operational state of storage devices in real-time, switching from static duty state to dynamic state management that adapts to actual access patterns, thereby reducing power consumption while maintaining data accessibility when needed
Solution Approach 2:
The system changes the operational parameters of storage devices by introducing time tags and access frequency thresholds. When the non-access proportion exceeds a preset threshold, the storage device transitions to standby or disable state. This parameter-based control enables the system to balance between data access reliability and power consumption by adjusting the operational state based on measured access patterns
2Use of energy by moving object
If storage devices are put in standby state to reduce power waste, then power consumption is reduced, but data access speed decreases
Solution Approach 1:
The system performs preliminary actions by monitoring access patterns and predicting future access needs based on time tags. When data is likely to be accessed soon, the system keeps storage devices in duty state or quickly transitions them from standby. This preliminary monitoring and prediction prevents unnecessary state transitions that would cause access delays, thereby maintaining fast access speed while still enabling power savings for truly inactive data
3Loss of energy
If storage devices are monitored and managed dynamically, then power efficiency is improved, but system complexity increases
Solution Approach 1:
The storage device system performs self-service by autonomously monitoring its own access patterns, calculating non-access proportions, and making state transitions without requiring complex external control systems. Each storage device tracks its own time tags and access frequency, enabling it to independently determine when to transition to standby or disable state. This self-service approach improves power efficiency while minimizing the added system complexity that would result from centralized monitoring and control mechanisms
Data Source
AI summary
The disclosure provides a data access management method and a data access management apparatus which includes an enabling signal generating unit for generating an enabling signal according to a processing signal, a power supplying unit for generating a voltage signal according to the enabling signal, at least a first storage unit for storing a plurality of pieces of data and staying in a standby state or a disable state according to the voltage signal, and a first processing unit. Each piece of data respectively has an access time. The first processing unit calculates a non-access proportion of the data not been accessed for a preset time, according to the access times and then determines whether the non-access proportion is larger than a preset proportion, to generate the processing signal for controlling the at least storage unit to stay in the disable state or the standby state.