[p2p-research] Minimizing demand/supply mismatches in P2P networks

[marc fawzi]

"The problem of minimizing demand/supply mismatches between peers in a P2P
network, whether it's demand/supply for energy or bandwidth, is that we end
up with a nonconvex continuous optimization problem. Several
numerical/heuristic approaches exist, including particle swarm optimization
(incl. thermodynamic variant.) However, they are not designed for real-time
optimization because the search space is usually huge and there are many
local optima (suboptimal solutions) which cannot be known beforehand, which
makes it unlikely to find the global optimum in real-time regardless of
number of initial guesses and speed (assuming finite speed computation.)
To simplify the problem of minimizing electric energy supply/demand
mismatches in a P2P network, P2P Bank, which is a virtually centralized,
physically distributed process) is created in order to serializes all inputs
and outputs so that all rain drops gather in one spot (P2P Bank inventory
acts as a funnel) as opposed to rain drops gathering in many different spots
depending on where each rain drop falls (i.e. all initial guesses for the
optimization algorithm lead to the same globally optimal solution.) In other
words, the problem is converted to a convex optimization problem."

More at: http://p2pfoundation.net/P2P_Social_Energy_Currency  v1.14.0
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