Core-Network Data Storage Using Distributed Hash Routing
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Solution Overview
Problem
Enterprises face challenges in securely storing large amounts of data while maintaining proprietorship and ensuring rapid access, particularly when using third-party cloud storage systems.
Innovation Solution
A data center storage system integrated into a core network, utilizing a distributed hash table and optical fiber communication links to store data across multiple geographically dispersed data centers, enabling content addressing and dynamic link rerouting to enhance security and accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If enterprises store data in third-party cloud storage systems, then storage capacity is improved, but data proprietorship and security are worsened
Solution Approach 1:
The system segments data storage across multiple independent data centers (at least 10 miles apart) rather than using a single third-party cloud provider. Each data center stores portions of enterprise data, and the distributed hash table tracks file locations across these segmented storage nodes. This segmentation restores proprietorship by giving enterprises direct control over distributed storage infrastructure while maintaining large aggregate capacity.
2Speed
If data is stored in a single location for rapid access, then access speed is improved, but vulnerability to hacking is worsened
Solution Approach 1:
Data is segmented and distributed across multiple geographically separated data centers. The distributed hash table enables rapid location lookup of file segments, allowing quick reconstruction and access of complete data sets while the physical distribution across 10+ miles apart locations reduces vulnerability to single-point hacking attacks.
Solution Approach 2:
The distributed hash table acts as an intermediary layer between data access requests and physical storage locations. It enables rapid logical access to data segments while the physical distribution provides security buffering, resolving the contradiction between fast access and security.
3Speed
If data centers are located close together for fast communication, then communication speed is improved, but vulnerability to simultaneous failures is worsened
Solution Approach 1:
The system applies different quality characteristics to different parts of the network: data centers within the same region provide fast local access (high communication speed), while geographically dispersed data centers (10+ miles apart) provide resilience to regional failures (high reliability). This local quality differentiation resolves the contradiction between speed and resilience.
Data Source
AI summary
A data center storage system integrated into a core network. The system comprises a plurality of data centers that each provides a memory storage; a plurality of optical fiber communication links, wherein each optical communication link communicatively couples two of the data centers to each other, wherein the memory storage of the data centers stores a plurality of files, wherein each file is identified by a hash calculated over the content of the file, wherein a distributed hash table is stored in the memory storage of each data center that associates hashes of files to a memory storage location where the files are stored, and wherein at least some of the files are distributed across each of the plurality of data centers, whereby a vulnerability to hacking the files is decreased, and wherein each data center is connected to the core network.