docker-lvmpy
mlcourse.ai
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| docker-lvmpy | mlcourse.ai | |
|---|---|---|
| 1 | 85 | |
| 9 | 9,390 | |
| - | - | |
| 7.2 | 3.4 | |
| 7 months ago | 4 months ago | |
| Python | Python | |
| GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
docker-lvmpy
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Jack's message [March 13, 2021]
Nodes in the SKALE Network are not required to have a specific amount of disk storage. There is a minimum viable quantity required, but not a set amount for a node. Variance in storage can create instability during some network functions. A collective decision was made in the community to fix the problem with software not hardware. A node could have X amount of storage, but is required to have Y amount of storage. Any excess in X over Y is now not utilized. This creates a uniform storage capacity amongst all nodes (assuming minimums are met) while not requiring the validator community to change any hardware specs. All while increasing stability and performance of the network and SKALE Chains.... ie this was a big Win!! You can see the code implemented here: https://github.com/skalenetwork/docker-lvmpy
mlcourse.ai
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