Storage Control Apparatus Predicting Access Patterns for Power Reduction
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Solution Overview
Problem
Existing storage control systems fail to effectively reduce power consumption as they do not accurately account for varying access patterns due to job changes between access history sampling and power control, leading to inefficient power management.
Innovation Solution
A storage control apparatus that predicts access patterns by analyzing job plans and access histories, allowing for precise control of power supply to storage devices based on anticipated usage, thereby optimizing power reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the storage control apparatus stops power supply to the storage apparatus when no access is made for a certain time, then the power consumption amount is reduced, but the access pattern accuracy deteriorates because job changes occur between access history sampling and power control
Solution Approach 1:
The system performs preliminary actions by sampling access history at multiple time points before the actual power control decision is made. This includes sampling at the start of a job, at intervals during the job, and using this accumulated data to predict future access patterns, ensuring the power control decision is based on the most current and accurate information available
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring actual access patterns during job execution and comparing them with predicted patterns. The access history sampling occurs at multiple stages (job start, intermediate points) and the results are fed back into the prediction model to refine future power control decisions, creating a closed-loop control system that adapts to changing access patterns
2Loss of energy
If the storage control apparatus estimates access pattern based on access histories for prescribed time zones, then the power consumption is reduced more effectively, but the complexity of the control system increases due to multiple sampling points and prediction mechanisms
Solution Approach 1:
The control system is segmented into distinct functional modules: access history sampling module that collects data at multiple time points, prediction module that analyzes the sampled data to forecast access patterns, and power control module that executes decisions based on predictions. This segmentation allows each module to perform its specific function efficiently while maintaining overall system manageability despite the increased complexity
Solution Approach 2:
The patent introduces an intermediary prediction mechanism that acts as a mediator between the simple access history sampling and the complex power control decisions. This prediction layer processes the sampled access patterns and translates them into actionable insights, bridging the gap between data collection and control execution while structuring the complexity in a manageable way
Data Source
AI summary
A storage control apparatus configured to control a storage apparatus accessed by an information processing apparatus when the information processing apparatus executes a job, the storage control apparatus includes a memory configured to store plan information that indicates a plan in which the information processing apparatus executes the job and history information that indicates an history of access from the information processing apparatus to the storage apparatus when the information processing apparatus executes the job, and a processor coupled to the memory and configured to perform, based on the plan information and the history information, a prediction of whether the information processing apparatus accesses the storage apparatus in a certain time segment, and control power supply to the storage apparatus based on the prediction.