Dell products l.p. (20240176521). TECHNIQUES FOR IMPROVING WRITE PERFORMANCE USING ZONE SHARING IN LOG STRUCTURED SYSTEMS simplified abstract
Contents
- 1 TECHNIQUES FOR IMPROVING WRITE PERFORMANCE USING ZONE SHARING IN LOG STRUCTURED SYSTEMS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TECHNIQUES FOR IMPROVING WRITE PERFORMANCE USING ZONE SHARING IN LOG STRUCTURED SYSTEMS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
TECHNIQUES FOR IMPROVING WRITE PERFORMANCE USING ZONE SHARING IN LOG STRUCTURED SYSTEMS
Organization Name
Inventor(s)
Lior Kamran of Rishon LeZion (IL)
Vladimir Shveidel of Pardes-Hana (IL)
TECHNIQUES FOR IMPROVING WRITE PERFORMANCE USING ZONE SHARING IN LOG STRUCTURED SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240176521 titled 'TECHNIQUES FOR IMPROVING WRITE PERFORMANCE USING ZONE SHARING IN LOG STRUCTURED SYSTEMS
Simplified Explanation
A data storage system utilizing non-volatile solid state drives (SSDs) can implement log structured systems (LSSS) to reduce write amplification (WA). The SSDs can be partitioned into zones, with multiple nodes writing to a single active zone. Each node is assigned a portion of the active zone for exclusive use, and can allocate storage from that portion. The active zone can be repartitioned based on storage consumption, write rates, or allocation rates of the nodes. When the active zone runs low on free space, it can be repartitioned again. Nodes can switch to a new active zone once they have consumed their final partition.
- Data storage system using non-volatile SSDs
- Implementation of log structured systems to reduce write amplification
- Partitioning SSDs into zones for efficient storage allocation
- Multiple nodes writing to a single active zone
- Exclusive portions assigned to nodes within the active zone
- Repartitioning based on storage consumption, write rates, or allocation rates
- Switching to a new active zone when a node consumes its final partition
Potential Applications
The technology can be applied in:
- Data centers
- Cloud storage systems
- Enterprise storage solutions
Problems Solved
This technology addresses:
- Write amplification in SSDs
- Efficient storage allocation
- Improved performance of data storage systems
Benefits
The benefits of this technology include:
- Reduced write amplification
- Increased storage efficiency
- Enhanced performance of data storage systems
Potential Commercial Applications
The technology can be commercially applied in:
- SSD manufacturing companies
- Data storage solution providers
- Cloud service providers
Possible Prior Art
One example of prior art in this field is the use of wear leveling algorithms in SSDs to distribute write operations evenly across memory cells, reducing wear and extending the lifespan of the drive.
Unanswered Questions
How does this technology impact the lifespan of SSDs?
This technology can potentially extend the lifespan of SSDs by reducing write amplification and optimizing storage allocation, leading to more efficient use of memory cells.
What are the scalability limitations of this approach in large-scale data storage systems?
The scalability of this approach may be limited by the number of nodes writing to a single active zone and the complexity of repartitioning based on various factors. Further research is needed to determine the optimal scalability of this technology in large-scale systems.
Original Abstract Submitted
a data storage system can use non-volatile solid state drives (ssds) to provide backend storage. the data storage system and ssds can implement log structured systems (lsss) experiencing write amplification (wa). the ssds can be partitioned into zones. to reduce wa of the ssd-internal lss, multiple nodes can write to a single active zone. the active zone can be partitioned into portions each assigned for exclusive use by one of the nodes. each node can allocate storage from its corresponding portion of the active zone. when a node consumes a threshold amount of its portion, the active zone can be repartitioned in accordance with storage consumption, write or allocation rates of the nodes. when the active zone does not have a minimum amount of free space, the active zone can be finally repartitioned. a node can switch its active zone to a next zone once it consumes its final partition.
