Local Area Network Cloud Storage Node Architecture
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Solution Overview
Problem
The reliance on commercially available cloud storage services leads to inefficient use of broadband network resources due to multiple downlink and uplink transmissions among devices sharing the same service provider, resulting in long retrieval times, data loss, and security concerns.
Innovation Solution
A device is configured as a node in a local area network-based cloud storage structure, utilizing a unique node identification system to optimize file retrieval and storage within a local area network, reducing reliance on remote servers and minimizing data transmission through a distributed hash table infrastructure and caching mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple devices access a remote cloud storage service, then data can be stored and retrieved, but network bandwidth is wasted due to repeated downlink and uplink transmissions
Solution Approach 1:
Multiple devices are merged into a single local cloud storage network, allowing them to share data locally without repeated remote transmissions. The system combines storage resources across devices in the network, creating a distributed storage pool that serves all participants locally.
Solution Approach 2:
Data is pre-cached on local devices within the network before remote access is needed. When a device retrieves data, it is first obtained from local cache or neighboring devices in the network, preventing the need for repeated remote downlink transmissions.
2Ease of operation
If data is retrieved from a remote cloud storage service, then files can be accessed, but retrieval time increases due to network latency
Solution Approach 1:
Data is cached locally on devices within the network in advance. When retrieval is needed, the data is already present in local cache or can be obtained from neighboring devices, eliminating the time-consuming remote network latency associated with traditional cloud storage access.
Solution Approach 2:
Local devices in the network act as intermediaries for data retrieval. Instead of directly accessing remote servers, devices query and retrieve data from other local devices in the network, significantly reducing retrieval time by eliminating remote network hops.
3Quantity of substance
If devices use commercial cloud storage services, then data can be stored, but security risks increase due to potential data theft
Solution Approach 1:
Data storage is extracted from centralized commercial cloud services and distributed across local devices in the network. This removes data from vulnerable centralized repositories and places it in a controlled local environment where security policies can be enforced, reducing exposure to data theft risks.
Solution Approach 2:
The local cloud storage network provides self-service security management, where participating devices collectively maintain and protect the data. The system implements its own authentication, authorization, and data protection mechanisms independent of external commercial services, giving users control over their own data security.
Data Source
AI summary
In an example embodiment, a device includes a memory having computer-readable instructions stored therein and a processor. The processor is configured to execute the computer-readable instructions to configure a device as a node in a cloud storage structure formed over a local area network and exchange a file available on the cloud storage structure without obtaining the file from a remote server outside of the cloud storage structure.