Consider a network(graph) of N nodes and each of them is holding a value, how to design a program/algorithm (for each node) that allows each node to compute the average(or sum) of all the node values in the network?
Assumptions are:
- Direct communication between nodes is constrained by the graph topology, which is not a complete graph. Any other assumptions, if necessary for your algorithm, is allowable. The weakest one I assume is that there's a loop in the graph that contains all the nodes.
- N is finite.
- N is suffiently large such that you can't store all the values and then compute its average (or sum). For the same reason, you can't "remember" whose value you've received (thus you can't just redistributing values you've received and add those you've not seen to the buffer and get a result).
(The Tags may not be right since I don't know which field this kind of problems are in, if it's some kind of a general problem.)
That is an interesting question, here some assumptions I've made, before I present a partial solution:
long
or you have a data structure sufficiently large, which it won't exceedI'd go with depth first search. Node
N0
would initiate the algorithm and send it's value + the count to the first neighbour (N0.1
).N0.1
would add it's own value + count and forward the message to the next neighbour (N0.1.1
). In case the message comes back to eitherN0
orN0.1
they just forward it to another neighbour of theirs. (N0.2
orN0.1.2
).The problem now is to know, when to terminate the algorithm. Preferably you want to terminate it as soon as you've reached all nodes, and afterwards just broadcast the final message. In case you know how many nodes there are in the graph, just keep on forwarding it to the next node, until every node will be reached eventually. The last node will know that is had been reached (it can compare the count variable with the number of nodes in the graph) and broadcast the message.
If you don't know how many nodes there are, and it's and undirected graph, than it will be just depth first implementation in a graph. This means, if
N0.1
gets a message from anyone else thanN0.1.1
it will just bounce the message back, as you can't send messages to the parent when performing depth first search. If it is a directed graph and you don't know the number of nodes, well than you either come up with a mathematical model to prove when the algorithm has finished, or you learn the number of nodes.I've found a paper here, proposing a gossip based algorithm to count the number of nodes in a dynamic network: https://gnunet.org/sites/default/files/Gossipico.pdf maybe that will help. Maybe you can even use it to sum up the nodes.