How can I refactor p2p protocol?

[JackBekket]

I have a task of connecting a few instances of local ai into one federated network / swarm. Local ai worker nodes are grpc instances of backends in format of address:port. Local ai balance node (head) can organise network if it have a list of such workers grps addresses or p2p module. It should work on randez-vous point principle to connect all nodes with same randez-vous point string in one cluster.

So I need simple p2p protocol, which through which I would be able to exchange peer addresses and grpc addresses by randez-vous string across any network enviroment.

Is it possible to make it using this p2p module? How to do it?

[githelperbot[bot]]

You're looking to create a federated network of local AI worker nodes using a rendezvous point principle, and you want to exchange peer addresses and gRPC addresses using a p2p protocol. Let's dive into how you can achieve this using the provided p2p module.

First, let's understand the concept of a rendezvous point. A rendezvous point is a common location where peers can meet and exchange information. In your case, the rendezvous point will be a string that all your AI worker nodes and the balance node will use to connect and exchange addresses.

Now, let's discuss how to implement this using the p2p module:

1. Choose a p2p protocol: The p2p module you've provided seems to be based on libp2p, which supports various protocols like gossip, DHT, and pubsub. You can choose the protocol that best suits your needs. For this example, let's use pubsub.

2. Set up the rendezvous point: Decide on a unique rendezvous point string that all your nodes will use to connect. This string can be a simple identifier or a more complex string that includes information about your network or application.

3. Implement the p2p module: Use the p2p module to create a new instance of the pubsub protocol. Configure the module to use the chosen rendezvous point string.

4. Create a message format: Define a message format for exchanging peer addresses and gRPC addresses. This format should include the peer's ID, the gRPC address, and any other relevant information.

5. Implement the exchange logic: Write code to exchange peer addresses and gRPC addresses between the balance node and the worker nodes. The balance node should periodically broadcast its own address and gRPC address to the pubsub topic, and the worker nodes should listen for these messages and update their list of peers.

6. Connect the worker nodes: Configure each worker node to connect to the pubsub topic using the rendezvous point string. Once connected, they should start listening for messages containing peer addresses and gRPC addresses.

7. Update the worker nodes: When a worker node receives a message containing a new peer's address and gRPC address, it should update its list of peers and establish a connection to the new peer.

8. Maintain the network: The balance node should continuously monitor the network and ensure that all worker nodes are connected and exchanging information. If a worker node goes offline, the balance node should remove it from the list of peers and notify the other nodes.

By following these steps, you'll be able to create a federated network of local AI worker nodes using a rendezvous point principle and a p2p protocol. This will allow you to exchange peer addresses and gRPC addresses across any network environment, enabling your AI workers to collaborate and share information effectively.