Genetically Induced Communication Network Fault Tolerance
Complexity Journal, 9 (2):
19-33 (November 2003)Special Issue on Resilient and Adaptive Defense of Computing Networks.Abstract
This paper presents the architecture and initial feasibility results
of a proto-type communication network that utilizes genetic programming
to evolve services and protocols as part of network operation. The
network evolves responses to environmental conditions in a manner
that could not be pre-programmed within legacy network nodes a priori.
A priori in this case means before network operation has begun.
Genetic material is exchanged, loaded, and run dynamically within
an active network. The transfer and execution of code in support
of the evolution of network protocols and services would not be
possible without the active network environment. Rapid generation
of network service code occurs via a genetic programming paradigm.
Complexity and Algorithmic Information Theory play a key role in
understanding and guiding code evolution within the network.
