66 lines
2.8 KiB
Markdown
66 lines
2.8 KiB
Markdown
# Data Availability Subnets Proof-Of-Concept
|
|
|
|
## Contents
|
|
This folder contains code as implementation for a Proof-Of-Concept (PoC) for the subnets designed
|
|
to address dispersal and sampling in Data Availability (DA) in Nomos.
|
|
|
|
Refer to the [Specification](https://www.notion.so/Runnable-DA-PoC-Specification-50f204f2ff0a41d09de4926962bbb4ef?d=9e9677e5536a46d49fe95f366b7c3320#308624c50f1a42769b6c142976999483)
|
|
for the details of the design of this PoC.
|
|
|
|
|
|
Being a PoC, this code has no pretentions in terms of quality, and is certainly not meant to reach anywhere near production status.
|
|
|
|
## How to run
|
|
|
|
The entry point is `poc.py` , which can be run with a python3 binary.
|
|
|
|
It can be parametrized with the following options:
|
|
|
|
`python poc.py -s 512 -n 64 -t 12 -d 2048`
|
|
|
|
To understand what these parameter mean, just look at the help output:
|
|
|
|
```sh
|
|
> python poc.py -h
|
|
usage: poc.py [-h] [-s SUBNETS] [-n NODES] [-t SAMPLE_THRESHOLD] [-d DATA_SIZE]
|
|
|
|
options:
|
|
-h, --help show this help message and exit
|
|
-s SUBNETS, --subnets SUBNETS
|
|
Number of subnets [default: 256]
|
|
-n NODES, --nodes NODES
|
|
Number of nodes [default: 32]
|
|
-t SAMPLE_THRESHOLD, --sample-threshold SAMPLE_THRESHOLD
|
|
Threshold for sampling request attempts [default: 12]
|
|
-d DATA_SIZE, --data-size DATA_SIZE
|
|
Size of packages [default: 1024]
|
|
```
|
|
|
|
|
|
## What it does
|
|
The PoC first creates an instance of a light-weight `DANetwork`, which in turn
|
|
starts the configured number of nodes.
|
|
|
|
[!NOTE]
|
|
Currently ports are hardcoded. Nodes start at 7561 and are instantiated sequentially from there.
|
|
The Executor simulator runs on 8766.
|
|
|
|
After nodes are up, the subnets are calculated. Subnets calculation is explicitly **not part of the PoC**.
|
|
Therefore, the PoC uses a simple strategy of filling all subnets sequentially, and if not enough nodes are requested,
|
|
just fills up nodes up to a `REPLICATION_FACTOR` per subnet (thus, each subnet has at least `REPLICATION_FACTOR` nodes).
|
|
|
|
After nodes are assigned to subnets, the network connections (via direct libp2p links) are established.
|
|
Each node in a subnet connects with every other node in that subnet.
|
|
|
|
Next, the executor is started. It is just a simulator. It creates random data for each subnet of `DATA_SIZE` length,
|
|
simulating the columns generated by the NomosDA protocol.
|
|
|
|
It then establishes one connection per subnet and sends one packet of `DATA_SIZE` length on each of these connections.
|
|
The executor also stores a hash of each packet per subnet.
|
|
|
|
Receiving nodes then forward this package to each of their peers in the subnet.
|
|
They also store the respective hash (only).
|
|
|
|
Finally a simulated check samples up to `SAMPLE_THRESHOLD` nodes.
|
|
For each subnet it simply picks a node randomly and asks if it has the hash.
|