large-scale-data-systems

large-scale-data-systems

jhubar

In order to safely shepherd a rocket to a circular orbit of about 100 km, it is imperative to ensure a good consistency and availability of the computing resources used to guide the rocket. One way to achieve this is to rely on a cluster of computers collaborating to guide the rocket, using distributed algorithms. Our implementation will leverage a modification of the Raft consensus algorithm

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Python Language
Cost to Build
$710.2K
Market Value
$42.6K

Growth over time

6 data points  ·  2021-10-01 → 2025-08-01
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What is the jhubar/large-scale-data-systems GitHub project? Description: "In order to safely shepherd a rocket to a circular orbit of about 100 km, it is imperative to ensure a good consistency and availability of the computing resources used to guide the rocket. One way to achieve this is to rely on a cluster of computers collaborating to guide the rocket, using distributed algorithms. Our implementation will leverage a modification of the Raft consensus algorithm". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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