Agile Storage Space Scaling via Dynamic Allocation
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Solution Overview
Problem
Businesses face challenges in optimizing storage spaces, as they often struggle to find optimal storage solutions that match their needs, leading to underutilization or excessive costs due to fixed storage space sizes and locations, which affects delivery times and costs.
Innovation Solution
The implementation of an agile storage space management system that allows businesses to scale storage spaces up or down by combining smart storage spaces owned by multiple entities, using data collection devices and AI/machine learning to optimize storage allocation based on demand and space thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If fixed storage space sizes and locations are used, then storage space is easily allocated, but storage space utilization is inefficient and costs increase
Solution Approach 1:
The patent implements dynamic storage space allocation where the system continuously monitors storage thresholds and automatically adjusts storage space assignments based on real-time demand. Storage spaces can be dynamically allocated, reallocated, or deallocated as needed, transforming the static storage model into a dynamic one that adapts to changing business requirements and optimizes utilization efficiency.
Solution Approach 2:
The system changes the parameter of storage space capacity by allowing flexible adjustment of storage thresholds and allocation sizes. Instead of fixed storage configurations, the system modifies storage parameters dynamically based on monitored data, enabling efficient utilization while maintaining ease of allocation through automated parameter adjustment.
2Reliability
If larger storage spaces are allocated to ensure capacity, then storage capacity is sufficient, but costs increase due to underutilization
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring storage space usage and comparing it against defined thresholds. This feedback loop enables the system to detect when storage capacity is sufficient and automatically adjust allocations to prevent over-provisioning, thereby reducing costs while maintaining adequate capacity through data-driven decisions.
Solution Approach 2:
The system performs preliminary actions by pre-defining storage thresholds and allocation strategies before demand spikes occur. This allows the system to proactively adjust storage capacities based on predicted needs rather than reacting to actual usage patterns, preventing both over-allocation and under-capacity situations.
3Device complexity
If storage spaces are fixed in location and size, then infrastructure is simple, but adaptability to changing business needs is limited
Solution Approach 1:
The patent segments storage spaces into multiple manageable units with defined thresholds and allocation policies. This segmentation allows the system to independently adjust each storage segment's capacity and location based on changing business needs, providing adaptability while maintaining manageable infrastructure complexity through modular design.
Solution Approach 2:
The system creates a universal storage management platform that can handle multiple storage scenarios, locations, and capacity requirements through a single flexible framework. This multi-functional approach enables the same infrastructure to adapt to various business needs without requiring separate specialized systems for each storage requirement.
Data Source
AI summary
A processor may receive storage space information associated with an agile storage space. In some embodiments, the agile storage space may include one or more smart storage spaces. A processor may analyze the storage space information associated with the agile storage space. A processor may determine if an amount of one or more objects exceeds a storage threshold. In some embodiments, the amount of the one or more objects is based, at least in part, on the storage space information. A processor may assign the one or more objects to the one or more smart storage spaces. In some embodiments, assigning the one or more objects to the one or more smart storage spaces may be based, at least in part, on the storage threshold and the storage space information.