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Revolutionizing File Compression: A New Approach(personal.tech)

123 points by datajunkie 1 year ago | flag | hide | 40 comments

  • johnsmith 1 year ago | next

    Fascinating approach! I've been wondering how we can improve file compression algorithms for years now.

    • codermaster 1 year ago | next

      Some claim that current methods are sufficient for their use-cases, but hopefully, this spurs innovation in the field.

      • anonymous 1 year ago | next

        It might not be a groundbreaking paradigm shift, but it serves as a stepping stone. It's good to see the field's progress regardless!

  • compressionguru 1 year ago | prev | next

    Indeed, the author's chosen strategy takes advantage of some of the most recent advances in data encoding and compression theory. Looking forward to taking a closer look!

    • jane13 1 year ago | next

      Absolutely! I'm excited to see how this can impact the file storage industry on a larger scale. It could mean big savings in energy costs.

  • alice_jones 1 year ago | prev | next

    Does anyone have experience comparing the new compression method with existing standards (e.g., gzip, xz, bzip2, etc.)?

    • data_wizz 1 year ago | next

      I've run some comparisons, and the new approach outperforms the other common methods significantly at lower compression ratios. However, at higher compression ratios, it can struggle. I think it would be perfect for real-time data streaming, though!

      • codesnacks 1 year ago | next

        Very impressive indeed! How easy would it be to adapt the algorithm for general use and commercial purposes?

        • bitcrusher 1 year ago | next

          Talented work; I'd recommend optimizing the python implementation. One could use CFFI, for example, to link the computationally intensive parts written in C.

          • brainbot 1 year ago | next

            Sure, link this good citizen: <https://github.com/XKCD936/filestore-on-demand-tests>

            • pinguinnn 1 year ago | next

              Added, many thanks! We'll use your repo for benchmarking. Do send us your feedback reports. Edit: <https://github.com/XKCD936/filestore#benchmarking-criteria>

    • the_wave 1 year ago | prev | next

      I'd like to know more about benchmarking against existing solutions. What test data and criteria have been used?

      • storagequeen 1 year ago | next

        Agreed! Transparency is key to crediting, reproducibility, and future collaboration. I hope to see more documentation.

        • numbertheory 1 year ago | next

          Software-based compression solutions aren't the only ones around. In the era of hardware accelerators and GPUs, is there a corresponding hardware-supported implementation in the works?

          • secretsquirrel 1 year ago | next

            We're planning to include a hardware compression library for modern GPUs. For now, we expect hardware-accelerated software to suffice.

            • mathwiz 1 year ago | next

              I suppose that could alleviate the bottleneck, but would cause compatibility issues. Might it be more viable to explore GP-GPU parallelism for a balanced solution?

              • wireframeric 1 year ago | next

                On the contrary, GP-GPU's approach exacerbates the problem with its increased resource consumption. Devices like mobile phones are left out in the cold.

  • geekgirl 1 year ago | prev | next

    Is the code open-sourced for others to expand upon/test? A community challenge to improve compression rates could prove very fruitful.

    • freaksk8r 1 year ago | next

      Some parts of the code have been released, but they intend on holding back the key innovations to secure a patent. Thoughts?

    • ramalama 1 year ago | prev | next

      Sadly, closed-source code isn't very welcome in ICS research and development these days. Might impede progress.

  • victoriana 1 year ago | prev | next

    This work definitely shines a positive light on the potential for machine learning in beyond-human-scale optimization problems. Good job and best of luck on the project.

    • cychow 1 year ago | next

      Your statement raises another important question: in which use-cases will this be more favorable than variable-length codes or perfect hashing?

      • genymar 1 year ago | next

        It's excellent for data streams with decoders needing access to only specific sections. In these instances, not being forced to decompress all content is a huge advantage.

        • codeooze 1 year ago | next

          Neat! Quite an inventive use of dynamic Huffman coding. I wonder how it scales with file size and concurrent access.

          • mastermind 1 year ago | next

            Scaling could be better with a simple alternative: hybridizing LZ77 with Adaptive Huffman. Particular applications may see lucrative results.

  • robotron 1 year ago | prev | next

    Regarding skiing: https://xkcd.com/936/ Anyway, I'd like to volunteer a MacBook for compatibility and performance testing purposes.

    • storagekid 1 year ago | next

      Thanks for offering! Any and all help is appreciated. Will open a GitHub issue for submission instructions. Edit: added the link: <https://github.com/XKCD936/filestore/issues/new>👍

  • magicfunctions 1 year ago | prev | next

    Could this be applied to multimedia or video compression? Endless possibilities if successful.

  • arabiannights 1 year ago | prev | next

    Has anyone considered the potential benefits of utilizing quantum computing for this application?

    • qubit47 1 year ago | next

      Quantum computing could be promising, but current techniques have downsides and substantial overhead. At present, the focus on classical algorithms makes more sense.

  • humptydumpty 1 year ago | prev | next

    The use of recursive statistical models is a smart tactic! I couldn't find much on error correction, though, so how does it handle corrupted data or lost packets?

  • missluna 1 year ago | prev | next

    There's no mention of security. Will encrypted data work fine? Anything we need to be concerned about?

    • alice_jones 1 year ago | next

      They used the GnuPG library to encrypt compressed data. No issues were noticed at this stage, but more rigorous tests should be carried out.

      • algorithms_freak 1 year ago | next

        Thanks for the information. Have you tried alternative libraries like NaCl, openssl, or even openssl_cython?

        • sarcasticrob 1 year ago | next

          Bloat gets added when creators become too focused on features and 'catching up' with the competition. They often forget essential elements -- simplicity and fast integration!

  • captainduckduck 1 year ago | prev | next

    Looks like there's a scalability issue with this method in some cases. I assume a hierarchical model could address this concern for specific cases?

    • mustache 1 year ago | next

      It's worth exploring LZ4 and Zstandard implementations with the algorithm. Maybe this exotic fruit is just a better blend?

      • cydonia 1 year ago | next

        Some cloud providers have API-level support. As for compatibility, it should be possible to develop a standard for middleware adapters. What do you think?

  • live2code 1 year ago | prev | next

    Great progress! Just one question: how does your solution integrate with cloud-based/distributed storage services?

  • probability 1 year ago | prev | next

    Fantastic to read! Really glad to learn about a promising novel approach in this area. Good luck with the endeavor!