Authors:
Jan Kantert
1
;
Sarah Edenhofer
2
;
Sven Tomforde
2
;
Jörg Hähner
2
and
Christian Müller-Schloer
1
Affiliations:
1
Leibniz University Hannover, Germany
;
2
Augsburg University, Germany
Keyword(s):
Adaptive Control Loop, Multi-Agent-Systems, Trust, Norms, Desktop-grid System.
Related
Ontology
Subjects/Areas/Topics:
Distributed Control Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Software Agents for Intelligent Control Systems
Abstract:
Desktop Computing Grids provide a framework for joining in and sharing resources with others. The result
is a self-organised system that typically consists of numerous distributed autonomous entities. Openness and
heterogeneity postulate severe challenges to the overall system’s stability and efficiency since uncooperative
and even malicious participants are free to join. In this paper, we present a concept for identifying agents
with exploitation strategies that works on a system-wide analysis of trust and work relationships. Afterwards,
we introduce a system-wide control loop to isolate these malicious elements using a norm-based approach –
due to the agents’ autonomy, we have to build on indirect control actions. Within simulations of a Desktop
Computing Grid scenario, we show that the intelligent control loop works highly successful: these malicious
elements are identified and isolated with a low error rate. We further demonstrate that the approach results in
a significant increa
se of utility for all participating benevolent agents.
(More)