Time-Constrained Data Placement in Multi-Storage Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data placement techniques fail to utilize time as a constraint condition, leading to inefficient management and potential performance degradation due to unanticipated data movement.
Innovation Solution
An information processing device that determines storage devices based on time-related constraint conditions, allowing for data placement and prediction of future changes, thereby optimizing data distribution and reducing performance degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is placed in storage devices without considering time constraints, then data placement is simple and fast, but system performance degrades due to unanticipated data movement
Solution Approach 1:
The system performs preliminary actions by acquiring constraint conditions including time-related conditions before data placement occurs. The control unit determines storage devices based on these pre-acquired time constraints, allowing the system to proactively prepare for future data movement needs rather than reacting to performance degradation after it occurs.
Solution Approach 2:
The patent introduces dynamic time-related constraint conditions into the data placement determination process. By considering conditions that change over time (such as data generation time, access time patterns, or future time-based requirements), the system adapts its placement decisions to temporal variations, making the placement strategy dynamic rather than static.
2Productivity
If data placement ignores time variables, then placement decisions are made quickly, but future data movement cannot be predicted leading to performance degradation
Solution Approach 1:
The control unit acquires constraint conditions including time-related conditions before making placement decisions. This preliminary acquisition of temporal constraints allows the system to predict future data movement requirements and make placement decisions that account for time-based factors, preventing performance degradation before it occurs.
Solution Approach 2:
The system incorporates time-related constraint conditions that provide feedback about temporal patterns in data generation and access. By monitoring and responding to time-based constraints, the system can adjust placement decisions to maintain optimal performance over time, using temporal feedback to prevent future performance degradation.
Data Source
AI summary
The information processing device places the input first data in at least one of the plurality of storage devices. The information processing device includes a control unit that executes acquisition of a constraint condition including a first condition related to time for determining a storage device in which the first data is to be placed, and, when the generation time of the first data satisfies the first condition, determination of a first storage device that is a storage device to which the first data is to be placed according to the constraint condition.