Data Archiving Capacity Planning for Lower Transmission and Retrieval Cost
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Solution Overview
Problem
Existing data archiving systems face challenges in minimizing costs for data transmission and inquiry due to inefficiencies in determining transmission and inquiry capacities, particularly in the context of data-related regulations and the increasing volume of data, especially in industries like healthcare and manufacturing.
Innovation Solution
A data archiving method and system that determines transmission and inquiry capacities based on the characteristics and billing systems of storage systems, including cloud platforms, to optimize data archiving and retrieval processes by grouping data into small classifications and reallocating objects based on business types, and managing data transmission and cleansing across multiple cloud systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of stationary object
If data is transmitted to external storage systems for archiving, then data storage capacity is improved, but transmission costs increase
Solution Approach 1:
The patent determines transmission capacity and inquiry capacity based on billing system characteristics of external storage systems. By dynamically adjusting transmission parameters (capacity, timing, frequency) according to billing models and cost structures, the system optimizes the balance between achieving required storage capacity and minimizing transmission costs.
2Reliability
If data transmission capacity is increased to meet archiving requirements, then storage compliance is improved, but transmission costs increase
Solution Approach 1:
The patent performs transmission simulations and capacity determinations before actual data transmission to external storage systems. By pre-calculating the required transmission capacity based on data volume, access frequency, and billing characteristics, the system ensures regulatory compliance requirements are met while avoiding excessive transmission capacity allocation that would increase costs.
3Speed
If inquiry capacity is increased for fast data retrieval, then data access speed is improved, but inquiry costs increase
Solution Approach 1:
The patent determines inquiry capacity based on the billing system characteristics of external storage systems and actual data access patterns. By dynamically adjusting inquiry capacity parameters according to billing models and access frequency, the system achieves required data retrieval speeds while minimizing inquiry costs through optimized capacity allocation.
4Productivity
If data is grouped into small classifications and objects are reallocated, then data management efficiency is improved, but system complexity increases
Solution Approach 1:
The patent groups archiving target data into objects as minimum process processing units based on database table dependencies, and further divides and defines transmission scenarios into small classifications based on business types. This segmentation enables efficient, targeted data management and transmission while maintaining manageable system complexity through structured organization.
Data Source
AI summary
Provided are a data archiving method and system capable of reducing the cost of transmitting and retrieving archived data by determining a transmission capacity or a retrieval capacity according to at least one of a characteristic of a storage system and a charging system in a process of transmitting at least some of data stored in a target system for archiving to the storage system or in a process of retrieving data archived in the storage system.