This paper proposes ant-inspired strategies for self-organized and decentralized collective decision-making in computing systems which employ reconfigurable units. The particular principles used for the design of these strategies are inspired by the house-hunting of the ant Temnothorax albipennis. The considered computing system consists of two types of units: so-called worker units that are able to execute jobs that come into the system, and scout units that are additionally responsible for the reconfiguration process of all units. The ant-inspired strategies are analyzed experimentally and are compared to a non-adaptive reference strategy. It is shown that the ant-inspired strategies lead to a collective decentralized decision process through which the units are able to find good configurations that lead to a high system throughput even in complex configuration spaces.
|Book series||Lecture Notes in Computer Science|
|Publication status||Published - 2008|
|Event||6th International Conference on Ant Colony Optimization and Swarm Intelligence (ANTS 2008) - Brussels, Belgium|
Duration: 24. Aug 2010 → …
|Conference||6th International Conference on Ant Colony Optimization and Swarm Intelligence (ANTS 2008)|
|Period||24/08/2010 → …|