Distributed File System Access Coordination via Intermediary Nodes
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Solution Overview
Problem
In large-scale computer systems with multiple independent processing nodes, fast access to files is hindered, making it difficult to efficiently manage and store digitized data such as images and videos.
Innovation Solution
A distributed file system architecture is implemented, comprising I/O nodes and compute nodes communicably coupled through an interconnect, with a distribution manager and file manager that facilitate file access by delegating responsibility for files or file ranges to subsets of compute nodes, using a message port system for communication and shared memory for data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a distributed file system architecture is implemented with multiple independent processing nodes, then scalability and data management capability are improved, but fast access to files from particular processing nodes deteriorates
Solution Approach 1:
The patent introduces a file access coordinator as an intermediary component that receives file access requests from processing nodes, determines the optimal location of file data, and directs access operations. This mediator resolves the contradiction by centralizing access coordination while maintaining distributed storage, thereby preserving fast access speeds despite the distributed architecture.
Solution Approach 2:
The system performs preliminary actions by pre-caching frequently accessed file data in local memory of processing nodes and pre-establishing data placement mappings. This advance preparation ensures that when access requests arrive, the system can quickly serve data without traversing the entire distributed network, thus maintaining high access speeds in a scalable architecture.
2Quantity of substance
If file data is distributed across multiple storage locations, then storage capacity and scalability are improved, but access time and retrieval efficiency worsen
Solution Approach 1:
The patent segments the file system into distinct functional components: metadata servers that track data locations, distributed storage nodes that hold file segments, and cache layers at processing nodes. This segmentation allows the system to maintain large distributed storage capacity while reducing access time by directing requests to the correct segmented component that holds the required data.
Solution Approach 2:
The system implements local quality by caching frequently accessed file data and metadata in the local memory of processing nodes rather than relying solely on remote distributed storage. This creates different quality levels of data availability locally versus remotely, with hot data having fast local access and cold data residing in distributed storage, thereby reducing overall access time while maintaining scalability.
Data Source
AI summary
A distributed file system is disclosed which may include one or more input/output (I/O) nodes and one or more compute nodes. The I/O nodes and the compute nodes may be communicably coupled through an interconnect. Each compute node may include applications to perform specific functions and perform I/O functions through libraries and file system call handlers. The file system call handlers may be capable of providing application programming interfaces (APIs) to facilitate communication between the plurality of I/O nodes and the applications. The file system call handlers may use a message port system to communicate with other compute nodes.