A Trust-Based Approach for Volunteer-Based Distributed Computing in the Context of Biological Simulation
Sven Hofmann

TL;DR
This paper analyzes the folding@home volunteer distributed computing system and proposes a trust-based approach using trusted communities to enhance system reliability and resilience against malicious clients.
Contribution
It introduces a novel trust-based method leveraging trusted communities to improve security and performance in volunteer distributed biological simulations.
Findings
Trust-based communities improve system robustness
Enhanced response to malicious or malfunctioning clients
More organic and adaptive distributed computing system
Abstract
As simulating complex biological processes become more important for modern medicine, new ways to compute this increasingly challenging data are necessary. In this paper, one of the most extensive volunteer-based distributed computing systems, called folding@home, is analyzed, and a trust-based approach is developed based upon it. Afterward, all advantages and disadvantages are presented. This approach uses trusted communities that are a subset of all available clients where they trust each other. Using such TCs, the system becomes more organic and responds better to malicious or malfunctioning clients.
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Taxonomy
TopicsScientific Computing and Data Management · Distributed and Parallel Computing Systems · Distributed systems and fault tolerance
