Cloud Data Management via Multi-Provider Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional cloud computing models are limited by reliance on single providers for data storage and processing, leading to concerns over security, reliability, and cost effectiveness, particularly affecting smaller entities due to variable pricing and lack of data redundancy.
Innovation Solution
A data management system utilizing a blockchain algorithm to distribute client data across multiple cloud services, optimizing storage based on client preferences and real-time conditions, ensuring data security, redundancy, and cost efficiency by dynamically selecting the best cloud services for storage and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single cloud service provider is used for data storage, then operational simplicity is maintained, but reliability and disaster recovery capability deteriorate
Solution Approach 1:
The patent segments data storage across multiple cloud service providers instead of relying on a single provider. Client data is divided and distributed to different cloud services, ensuring that if one provider fails, data remains accessible through other providers. This segmentation resolves the contradiction by maintaining operational simplicity through automated management while significantly improving reliability and disaster recovery capability.
Solution Approach 2:
The patent introduces a data management system as an intermediary between clients and multiple cloud service providers. This intermediary automatically handles data distribution, retrieval, and provider selection based on real-time conditions. The intermediary maintains operational simplicity for end users while enabling multi-provider redundancy, thus resolving the contradiction between ease of operation and reliability.
2Reliability
If data is distributed across multiple cloud storage services, then reliability and security are improved, but system complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where the data management system automatically monitors cloud service conditions, selects optimal providers, and manages data distribution without requiring user intervention. The system autonomously handles the complexity of multi-provider coordination, thereby achieving data redundancy and reliability while keeping the user-facing interface simple and the overall system complexity manageable.
Solution Approach 2:
The patent incorporates feedback mechanisms that continuously monitor the performance, availability, and pricing of multiple cloud storage services. This real-time feedback enables the system to dynamically adjust data distribution and retrieval strategies, optimizing reliability while managing complexity through automated decision-making based on current system state rather than static configurations.
3Loss of energy
If cloud service providers use variable pricing models, then cost optimization potential is improved, but predictability and ease of budgeting deteriorate
Solution Approach 1:
The patent employs dynamic service selection that adapts to real-time pricing conditions across multiple cloud providers. The system automatically adjusts data storage and retrieval strategies based on current pricing variables, selecting the most cost-effective providers at any given moment. This dynamic approach maximizes cost optimization potential while the automated management maintains a degree of budgeting predictability through systematic decision-making, resolving the contradiction between cost flexibility and pricing stability.
Data Source
AI summary
A cloud data management method comprising: receiving, from a first client device, client data for cloud storage; analyzing a first ledger to determine one or more acceptable cloud storage services from a plurality of cloud storage services; uploading, to the one or more acceptable cloud storage services, the client data; and updating the first ledger to include an indication of a location for the client data at the one or more acceptable cloud storage services.