Self-Organisation and evolution for trust-adaptive grid computing agents

Abstract

The Organic Computing (OC) initiative aims at introducing new, self-organising algorithms in order to cope better with the complexity of today’s systems. One approach to self-organisation is the introduction of agents which are able to continuously adapt their behaviour to changing environmental conditions and thus collectively create an efficient and robust system. In this paper, we introduce an evolutionary approach to an agent which acts autonomously and optimises its behaviour at run-time. The behaviour of the Evolutionary Agent is defined by ten chromosomes. When two agents interact, the inferior agent copies a part of the genes of the more successful agent. Therefore, the most successful gene combination will spread throughout the network. Application scenario for our evaluation is the Trusted Desktop Grid, a distributed system where computing resources are shared by autonomously acting agents.