Tiered Memory Data Services via Read Signatures
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Solution Overview
Problem
Current data storage systems lack a centralized control point for managing advanced data services like replication, snapshots, and durability across a disaggregated stack, making it difficult to provide efficient and consistent data management.
Innovation Solution
A data storage system that uses read signatures and a data stack management method to enable tiered data storage, allowing for the distribution of data services across multiple compute nodes and storage systems, including memory tiering and storage tiering, with a data management module that maps and synchronizes data across the stack, providing replication, deduplication, and quality of service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data storage is disaggregated across multiple compute nodes and storage systems, then storage capacity and flexibility are improved, but centralized control for managing data services is lost
Solution Approach 1:
The patent introduces a data management module as an intermediary component that resides on each compute node and communicates with a coordinator compute node. This mediator enables distributed control by allowing local data management operations while maintaining coordination across the disaggregated storage system, thus preserving centralized control capabilities without requiring a single physical control point.
Solution Approach 2:
The data management functionality is segmented into distributed data management modules on each compute node, with a coordinator node handling global coordination. This segmentation allows the system to maintain centralized control logic while operating across distributed storage resources, resolving the contradiction between disaggregation and centralized control.
2Speed
If data is distributed across multiple tiers (memory and storage), then access speed for frequently used data is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic data placement and migration between memory tier and storage tier based on access patterns and data characteristics. The system automatically adjusts data location to optimize access speed while managing complexity through adaptive algorithms that respond to changing workloads, allowing the tiered memory system to maintain performance without fixed complex configurations.
3Productivity
If read signatures are used for data identification and replication, then replication efficiency is improved, but computational overhead increases
Solution Approach 1:
The patent employs read signatures as a parameter-based identification mechanism for data blocks, enabling efficient replication by comparing signature parameters rather than full data content. This parameter change approach (using signatures instead of full data comparison) improves replication efficiency while minimizing computational overhead through lightweight signature generation and matching operations.
Data Source
AI summary
A Computer-executable method, system, and computer program product for managing tiers of data storage in a data storage environment using a data storage system, the Computer-executable method, system, and computer program product comprising a non-transitory computer readable medium encoded with computer-executable program code for using read signatures in replication, the code configured to enable the execution of initializing a data stack, updating a map of the data stack; and distributing the map of the data stack to a compute node.