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Applying the dynamics of evolution to achieve reliability in master–worker computing

Christoforou, Evgenia and Fernández Anta, Antonio and Georgiou, Chryssis and Mosteiro, Miguel A. and Sánchez, Ángel (2013) Applying the dynamics of evolution to achieve reliability in master–worker computing. [Journal Articles]

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Abstract

We consider Internet-based master–worker task computations, such as SETI@home, where a master process sends tasks, across the Internet, to worker processes; workers execute and report back some result. However, these workers are not trustworthy, and it might be at their best interest to report incorrect results. In such master–worker computations, the behavior and the best interest of the workers might change over time. We model such computations using evolutionary dynamics, and we study the conditions under which the master can reliably obtain task results. In particular, we develop and analyze an algorithmic mechanism based on reinforcement learning to provide workers with the necessary incentives to eventually become truthful. Our analysis identifies the conditions under which truthful behavior can be ensured and bounds the expected convergence time to that behavior. The analysis is complemented with illustrative simulations.

Item Type: Journal Articles
Uncontrolled Keywords: Performing tasks, Internet-based computing, Evolutionary dynamics, Reinforcement learning, Algorithmic mechanism design.
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Antonio Fernandez
Date Deposited: 10 Sep 2013 10:01
Last Modified: 23 Apr 2014 11:46
URI: http://eprints.networks.imdea.org/id/eprint/561

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