erasure-coding-durability | Python code to calculate the durability of data
kandi X-RAY | erasure-coding-durability Summary
kandi X-RAY | erasure-coding-durability Summary
erasure-coding-durability is a Python library. erasure-coding-durability has no bugs, it has no vulnerabilities and it has low support. However erasure-coding-durability build file is not available and it has a Non-SPDX License. You can download it from GitHub.
This is a simple statistical model for calculating the probability of losing data that is stored using an erasure coding system, such as Reed-Solomon. In erasure coding, each file stored is divided into D shards of the same length. Then, P parity shards are computed using erasure coding, resulting in D+P shards. Even if shards are lost, the original file can be recomputed from any D of the D+P shards stored. In other words, you can lose any P of the shards and still reconstruct the original file. What we would like to compute is the durability of data stored with erasure coding based on the durability of the individual shards. The durability is the probability of not losing the data over a period of time. The period of time we use here is one year, resulting in annual durability. Systems that use erasure coding to store data will replace shards that are lost. Once a shard is replaced, the data is fully intact again. Data is lost only when P+1 shards are all lost at the same time, before they are replaced.
This is a simple statistical model for calculating the probability of losing data that is stored using an erasure coding system, such as Reed-Solomon. In erasure coding, each file stored is divided into D shards of the same length. Then, P parity shards are computed using erasure coding, resulting in D+P shards. Even if shards are lost, the original file can be recomputed from any D of the D+P shards stored. In other words, you can lose any P of the shards and still reconstruct the original file. What we would like to compute is the durability of data stored with erasure coding based on the durability of the individual shards. The durability is the probability of not losing the data over a period of time. The period of time we use here is one year, resulting in annual durability. Systems that use erasure coding to store data will replace shards that are lost. Once a shard is replaced, the data is fully intact again. Data is lost only when P+1 shards are all lost at the same time, before they are replaced.
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erasure-coding-durability has a low active ecosystem.
It has 35 star(s) with 6 fork(s). There are 12 watchers for this library.
It had no major release in the last 6 months.
erasure-coding-durability has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of erasure-coding-durability is current.
Quality
erasure-coding-durability has 0 bugs and 0 code smells.
Security
erasure-coding-durability has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
erasure-coding-durability code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
erasure-coding-durability has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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erasure-coding-durability releases are not available. You will need to build from source code and install.
erasure-coding-durability has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
erasure-coding-durability saves you 89 person hours of effort in developing the same functionality from scratch.
It has 229 lines of code, 16 functions and 1 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed erasure-coding-durability and discovered the below as its top functions. This is intended to give you an instant insight into erasure-coding-durability implemented functionality, and help decide if they suit your requirements.
- Perform a scenario .
- Compute the probability of loss in a given period .
- Generate a markdown table of k failures .
- Return a string representation of the table .
- Run scenario .
- Chooses a random number from r .
- Assert the probability of failures .
- Count the number ofines in loss_rate .
- Return a pretty - printed pretty probability for a given value .
- Choose the binomial probability .
Get all kandi verified functions for this library.
erasure-coding-durability Key Features
No Key Features are available at this moment for erasure-coding-durability.
erasure-coding-durability Examples and Code Snippets
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Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install erasure-coding-durability
You can download it from GitHub.
You can use erasure-coding-durability like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use erasure-coding-durability like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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