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We present self-organisation processes within a decentralised P2P open Desktop Grid System. Every agent aimsto maximise the speedup of his jobs by joining the system. Therefore he needs to cooperate with other agents. We use a trust metric to assess the willingness of cooperation for other agents. To further optimise their speedup agents can form explicit Trusted Communities with trusted peers. Thus...
In this paper we analyse and evaluate, in which ways learning techniques can be applied to agents in an open system, which have to map continuous situations into a continuous action space. The agents are part of an open desktop grid, where agents can offer and use computational power of other volunteer agents in order to improve their speedup for bag of-task applications. Moreover, the agents use...
In this paper we present an open multi-agent based Desktop Grid System that improves the performance of cooperative clients while decreasing the performance of non-cooperative clients as an incentive for good conduct. This is achieved by trust-based job client and worker algorithms that take into account the local and global history of the credibility and reliability experiences between agents, as...
Bringing forward trust from social systems to system-to-system level can lead to efficiency and robustness improvements in self-organising complex systems. In this paper, we show how trust can enhance the matchmaking and robustness regarding malicious nodes in a Desktop Grid and Volunteer Computing System (DGVCS). We give the agent a suited degree of autonomy to continuously adapt to their environment...
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