Storage Destination Determination for Data Routing Optimization
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Solution Overview
Problem
Current storage environments, particularly in edge and cloud systems, are not efficiently utilized, leading to suboptimal data management and increased communication costs due to inefficient data transmission and storage practices.
Innovation Solution
An information processor is developed to determine the most suitable storage destination among multiple environments based on data characteristics and storage environment characteristics, using a storage destination determination unit and data migration unit to efficiently route data, thereby optimizing storage usage across edge, mega cloud, minor cloud, and on-premise systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is always transmitted from edge to core storage environment, then data can be centrally managed, but communication costs increase and communication delays occur
Solution Approach 1:
The patent applies local quality by determining storage destinations based on data characteristics and storage environment characteristics. Different data types are routed to different storage environments (edge or core) based on their specific requirements, rather than uniformly transmitting all data to the core. This selective routing reduces unnecessary communication while maintaining appropriate data management.
Solution Approach 2:
The patent implements dynamics by dynamically determining storage destinations based on real-time evaluation of data characteristics and storage environment characteristics. The system adapts its data routing decisions based on changing conditions, such as data type, access patterns, and available storage resources, rather than following a static centralized approach.
2Adaptability or versatility
If multiple storage environments are used, then storage capacity and flexibility increase, but efficient utilization of each environment is insufficient
Solution Approach 1:
The patent applies local quality by matching specific data characteristics with suitable storage environment characteristics. The determination unit evaluates both data attributes and storage environment attributes to route each data item to the most appropriate environment, ensuring that each storage environment is utilized efficiently for the types of data it is best suited for.
Solution Approach 2:
The patent implements feedback by continuously evaluating data characteristics and storage environment characteristics to make informed routing decisions. The system monitors and responds to the state of multiple storage environments, adjusting data placement to optimize utilization across all environments based on current conditions.
3Speed
If edge storage environment is used for specific purposes only, then data processing speed improves, but overall storage efficiency is limited
Solution Approach 1:
The patent applies universality by enabling the edge storage environment to serve multiple functions beyond just rapid data processing. By dynamically determining when to store data at the edge versus the core based on comprehensive characteristic evaluation, the system allows edge storage to function both as a high-speed processing location and as part of the overall efficient storage infrastructure, increasing its utility and contribution to overall storage efficiency.
Data Source
AI summary
A data-storage-destination environment-determination module set determines any of a plurality of storage environments as a storage destination environment for storing data, based on a used-data table set about the characteristics of data and the storage environments. The data migration module transmits the data to the storage destination environment.