Tiered Elastic Cloud Storage for Low-Latency Data Resiliency
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Solution Overview
Problem
Cloud-based storage systems suffer from long latency and varying network conditions, leading to increased access times and user experience degradation due to the distance of data centers from endpoint devices, while edge devices are resource-constrained and face challenges in managing multi-tenant scenarios.
Innovation Solution
Implementing a multi-tiered elastic cloud storage architecture that includes local storage on endpoint devices, edge cloud storage, and cloud backend storage, optimizing data placement based on importance, access frequency, and latency requirements to ensure fast access and resilience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored in centralized cloud data centers, then storage capacity and reliability are improved, but access latency increases and user experience degrades
Solution Approach 1:
The patent segments the centralized cloud storage system into multiple distributed edge storage nodes positioned geographically closer to endpoint devices. This segmentation allows data to be stored across multiple locations, maintaining reliability through distribution while reducing access latency by placing data nearer to users.
Solution Approach 2:
The patent introduces a spatial dimension to storage architecture by deploying edge storage nodes across multiple geographic locations between endpoint devices and centralized cloud data centers. This creates a multi-dimensional storage hierarchy that simultaneously achieves low-latency local access and high-reliability distributed storage.
2Loss of time
If edge devices are used for local storage, then access latency is reduced, but resource constraints and multi-tenant management complexity increase
Solution Approach 1:
The patent introduces edge storage nodes as intermediary components between endpoint devices and centralized cloud infrastructure. These intermediaries handle local storage and access operations, reducing latency for endpoint devices while abstracting away the complexity of multi-tenant management from individual devices through centralized coordination.
Solution Approach 2:
The edge storage nodes are designed as universal platforms that can serve multiple endpoint devices and support multiple tenants simultaneously. This multi-functionality allows a single edge storage node to handle diverse storage workloads from different tenants, reducing overall system complexity while maintaining low-latency access for all users.
3Speed
If data is cached locally on endpoint devices, then access speed is improved, but storage capacity is limited and data resiliency decreases
Solution Approach 1:
The patent implements a nested storage hierarchy where local endpoint device caches are nested within edge storage nodes, which are in turn nested within centralized cloud data centers. This nested structure allows fast local access at the endpoint level while providing multiple layers of redundancy and backup at edge and cloud levels, thereby maintaining both high access speed and strong data resiliency.
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture providing a tiered elastic cloud storage to increase data resiliency are disclosed. An example instructions cause one or more processors to at least execute the instructions to: generate a storage scheme for files based on a categorization of the files and resource capabilities of an edge-based device and a cloud-based device, the categorization including a first group of files to be stored locally at an end user computing device, a second group of files to be stored externally at the edge-based device, and a third group of files to be stored externally at the cloud-based device; in response to an acknowledgement from at least one of the edge-based device or the cloud-based device, generate a map corresponding to locations of the files; store the first group of files in local storage; and cause transmission of the second group of files to the edge-based device and the third group of files to the cloud-based device.