Cloud Data Distribution Platform with Compression Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current computing systems face challenges in managing increased user demand for data storage and processing resources, leading to inefficiencies in resource allocation, environmental impact, and potential disruptions in power supply.
Innovation Solution
A cloud-based data distribution platform with engines for compression assessment, geometrical data composition, decentralized encryption, and bridge optimization, which determines data storage thresholds, performs data compression and encryption, and segments data across multiple servers for efficient and secure storage and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If additional servers and computing resources are procured to meet increased user demand, then data storage and processing capacity is improved, but cost and environmental impact worsen
Solution Approach 1:
The patent segments data into multiple encrypted portions and distributes them across multiple existing servers rather than consolidating on new hardware. This allows the system to meet increased storage demand by utilizing underutilized capacity across the existing server infrastructure, avoiding the need to procure additional servers and reducing associated energy consumption and environmental impact.
2Speed
If data is stored on local devices, then access speed is improved, but storage capacity is limited
Solution Approach 1:
The patent introduces a cloud-based platform as an intermediary between user devices and remote servers. The platform performs compression and encryption of data before transmission, optimizing network bandwidth utilization and enabling efficient transfer of large datasets. This intermediary layer allows users to access vast distributed storage capacities while maintaining relatively fast access speeds through intelligent data management and transmission optimization.
3Loss of energy
If data compression is performed on the external device, then network bandwidth usage is reduced, but device computational load increases
Solution Approach 1:
Instead of having external devices perform compression before upload, the patent inverts the approach by having the cloud-based platform perform compression after receiving the data. This reversal shifts the computational burden from resource-constrained external devices to the more powerful cloud infrastructure, reducing network bandwidth requirements while avoiding overloading user devices.
4Reliability
If multiple encryption layers are applied, then data security is improved, but processing time increases
Solution Approach 1:
The patent applies encryption as a preliminary action during the data upload process rather than as a post-processing step. By encrypting data in the cloud after reception and before distribution to storage servers, the system ensures security is built into the storage architecture from the outset. This preliminary encryption approach maintains high security standards while minimizing additional processing time, as encryption occurs parallel to or immediately following data receipt rather than adding sequential delays.
Data Source
AI summary
A computer-implemented platform has a cloud-based offset engine that determines data stored on a local storage device of an external device exceeds a predetermined local data storage threshold, whereby the external device is remotely situated from the computer-implemented platform. Further, the computer-implemented platform has a receiver that receives, via a network, first level encrypted offset data. The encrypted offset data is the data that is encrypted by the external device according to a first encryption key, and that is timestamped by the external device according to a first timestamp. Moreover, the computer-implemented platform has a compression assessment engine that determines that the external device is incapable of performing compression according to one or more predefined compression criteria and that performs compression of the first level encrypted offset data according to the one or more predefined compression criteria to generate compressed and encrypted offset data.