Metadata Server File-Range Locking for Distributed Write Concurrency
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Solution Overview
Problem
Conventional distributed file systems face inefficiencies and poor flexibility in managing file locks due to cumbersome lock range release and allocation processes, leading to low performance and poor concurrency in handling multiple client access to shared resources.
Innovation Solution
A metadata server-based method that allows flexible locking of file ranges by managing lock requests and versions, ensuring data consistency and reliability through version tokens and lease terms, enabling clients to actively request and release locks to avoid long-term locking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the server allocates file ranges and manages lock range release and allocation, then data consistency is ensured, but the process becomes cumbersome and performance deteriorates
Solution Approach 1:
The patent segments the file into multiple ranges and allows independent locking of each range. Instead of locking the entire file, clients can lock only the specific ranges they need to access, enabling fine-grained control and reducing lock contention. This segmentation resolves the contradiction by maintaining data consistency through range-level locking while improving performance by reducing the scope of locks.
Solution Approach 2:
The patent implements dynamic lock range allocation where the server adjusts and allocates lock ranges based on actual client needs and current system state. The lock ranges are not fixed but can be dynamically modified, expanded, or contracted according to access patterns and availability, making the locking mechanism more adaptive and efficient.
2Reliability
If the server manages lock range allocation centrally, then coordination between clients is achieved, but system complexity increases and flexibility decreases
Solution Approach 1:
By segmenting the file into manageable ranges and allowing clients to independently manage locks on specific ranges, the system reduces the complexity of centralized lock management. Each range can be locked independently, simplifying the coordination logic compared to managing entire file locks.
Solution Approach 2:
The patent applies local quality by allowing different locking policies and mechanisms for different file ranges based on their access patterns and requirements. Each range can have its own lock state and management characteristics, enabling localized optimization without affecting the entire file system.
3Reliability
If clients lock entire files for write operations, then data consistency is maintained, but concurrency is reduced and performance suffers
Solution Approach 1:
The patent divides the file into multiple lockable ranges, allowing multiple clients to simultaneously hold locks on different ranges. This enables concurrent write operations on different portions of the file, significantly improving write concurrency while maintaining data consistency through proper lock management.
Solution Approach 2:
Instead of requiring clients to lock the entire file, the patent allows clients to lock only the partial ranges they need for their write operations. This partial locking approach reduces lock contention and enables higher concurrency while still ensuring data consistency for the locked portions.
Data Source
AI summary
A data storage method includes a first client sending a first lock request for locking a first data range of a first file to a metadata server. The metadata server receives the first lock request from the first client. When the first data range of the first file is not locked, the metadata server locks the first data range of the first file and sends a first lock response to the first client to indicate that the first data range of the first file is locked by the first client.