Enterprise Edge Storage Orchestration for Low-Latency File Access
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Solution Overview
Problem
Existing network file hosting systems impose data storage limits on users, requiring cumbersome administrative steps and increased costs for additional storage, and suffer from latency issues when accessing remote servers.
Innovation Solution
An interim edge storage management system with a storage orchestrator that manages data storage between local, edge, and remote network file hosting systems, prioritizing most recently used files for low-latency access and using a round-robin and first-in, first-out protocol to optimize storage across multiple networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored on remote network file hosting systems, then storage capacity is provided, but access latency increases
Solution Approach 1:
The patent implements a multi-layered storage architecture where data is distributed across local, edge, and remote storage systems with different performance characteristics. Frequently accessed files are cached at the edge storage layer closer to users, while less frequently accessed data resides in remote cloud storage. This creates local quality variations in storage performance based on access patterns and data importance.
Solution Approach 2:
The edge storage system acts as an intermediary between local client devices and remote network file hosting systems. It buffers and caches data locally at the enterprise edge, reducing the need for direct remote access and thereby lowering latency while maintaining access to large storage capacities through the remote systems.
2Quantity of substance
If additional storage capacity is obtained from network file hosting systems, then data storage limits are increased, but administrative complexity and costs increase
Solution Approach 1:
The edge storage management system automatically performs data placement, caching, and retrieval operations without requiring manual administrative intervention. The system self-manages storage allocation across multiple layers, dynamically adjusting cache sizes and data placement based on access patterns, thereby eliminating cumbersome administrative steps for storage management.
Solution Approach 2:
The edge storage system provides multiple functions within a single unified platform: it serves as local storage, cache layer, data gateway, and management interface simultaneously. This multi-functional approach consolidates what would otherwise require multiple separate systems and administrative processes, reducing overall complexity.
3Speed
If data is cached at edge storage for low-latency access, then access speed is improved, but storage management complexity increases
Solution Approach 1:
The storage orchestrator continuously monitors file access patterns, hit rates, and storage utilization metrics, using this feedback to dynamically adjust caching strategies. When cache performance degrades or storage capacity is approached, the system automatically adjusts cache sizes, evicts less frequently accessed files, and rebalances data across storage layers without manual intervention.
Solution Approach 2:
The edge storage system employs dynamic caching mechanisms where cache sizes, data placement, and retention policies are continuously adjusted based on real-time access patterns. Frequently accessed files are automatically cached at the edge, while less frequently accessed data is moved to remote storage, creating a dynamic optimization loop that adapts to changing workloads.
Data Source
AI summary
An information handling system comprising a processor, a memory device, and a power management unit (PMU). The processor to execute computer readable program code of an interim edge storage management system, the processor operatively coupled to a client device, an edge storage device, and a plurality of remote network file hosting systems managed by the interim edge storage management system, wherein the interim edge storage management system includes a storage orchestrator to manage data storage of the client device at and access to the edge storage device and the plurality of remote network file hosting systems based on recency of usage of files to be stored.