| Hi, I have developed a new technology to storage data in computer hard drive. It does have a native compression method that is transparent to OS and makes disk access faster than traditional SSD. It is enabled by some math formulas combined with existing programming principles.
A practical implementation has been done in a windows virtual driver. As an example:
You can create a virtual machine disk and install a 10GB Windows while in physical storage it only costs a few hundred megabytes, 100MB, 300MB depending on optimization.
This short storage allow for memory caching making access way much faster while it remains non-volatile. Imagine companies with 10,000 VMs with much faster desktops and storage cost reduction on orders of magnitude. That is what can be done here. Few video illustrations below. https://www.youtube.com/watch?v=X-ZR3bSntHY https://www.youtube.com/watch?v=iDfMVzwLWvI https://www.youtube.com/watch?v=bjcwjZfFHBw Problem I'm having is I emailed several research groups and email is ignored, people don't even click the video link. Any suggestions to take this further? Thanks
Lucas |
On the topic of data - I wonder what was actually on those compressed disks you've shown in the videos, because as you probably know compression algorithms performance depends on the complexity and entropy of the data.
Also, NTFS and FAT filesystems are mostly zeroes, so they do shrink down a lot when compressed, and virtual disks can even be "sparse" to begin with..
In short - more information is required.
As for reaching out to research groups / investors - It can be difficult, and I know this from experience running my own startup.
Between you and me - most investors won't even understand what you've created. Assume they are non technical people. If it were the 90's again - most of them would be working in the stock market, not technology.
So dumb it down, publish more papers/data, and get people excited - In this business it's more about appearances than substance I'm afraid.. If there's hype - they will be interested.
Hope this helps