Author

Topic: Is there any point in running more then 1 FULL Node on the same network (Read 1055 times)

newbie
Activity: 5
Merit: 0
Is there anyway to know if I'm at the start or end ? I know I'm averaging 32 inboard connections and about 13-15gb uploaded a day.
legendary
Activity: 938
Merit: 1002
If you're at the end of "the node chain" (The order in which a TX is relayed, from fastest connections to shortest), there's no point. You'll just be putting strain on the nodes above you.

But if you're at the start of the chain, having more nodes means that more people will use you, and that's always good. If you're a good person.
hero member
Activity: 686
Merit: 502
What is the purpose of creating several nodes?

1) To have an extra connection to the network, on the same net I dont know how beneficial it would be unless it worked in some kind of load balancing way.

2) *to try and run their own network and get 15 valid confirmations (consensus) and earn bitcoin with a low difficuly

* people have tried this, but this wont work due to various reasons when connecting back to main net. Nonce, Block Number, Time etc.
member
Activity: 98
Merit: 10
What is the purpose of creating several nodes?
hero member
Activity: 686
Merit: 502
I think there is code in the source that creates a banlist if there is more than one node from a NATted IP address isn't there?

Maybe someone with more experience with the code could clarify this.
legendary
Activity: 1512
Merit: 1012
You seem to have good connectivity, so probably yes. You might be well connected enough to fill resources of all nodes. If so, there's always a point to run nodes, I think.
newbie
Activity: 5
Merit: 0
I have a great fiber optic connection (150/100) and plenty .......I mean plenty of hardware to run Full Node's, my question is does it benefit the Bitcoin Network coming from the same connection..................(Although as I write this I wonder how I could port forward 8333 to two separate IP's)

I'm currently mining a small home based mine  20+TH

And a Full Node Hosted on a Hp DL380-G5 Dual Quad Core Xeon's with 16GB Ram




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