Efficiency and Robustness Using Trusted Communities in a Trusted Desktop Grid

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 in both worker and submitter role. In this paper, we introduce adaptivity in submitter and worker role for our trust-adaptive agents. The evaluation shows that using trust based adaptivity algorithms in a DGVCS leads to efficiency improvements and robustness regarding malicious nodes.

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