DocumentCode :
2800203
Title :
Efficiency and Robustness Using Trusted Communities in a Trusted Desktop Grid
Author :
Bernard, Yvonne ; Klejnowski, Lukas ; Cakar, Emre ; Hähner, Jörg ; Müller-Schloer, Christian
Author_Institution :
Inst. of Syst. Eng., Leibniz Univ. Hannover, Hannover, Germany
fYear :
2011
fDate :
3-7 Oct. 2011
Firstpage :
21
Lastpage :
26
Abstract :
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.
Keywords :
grid computing; multi-agent systems; security of data; software agents; DGVCS; desktop grid-and-volunteer computing system; efficiency improvement; malicious nodes; robustness improvement; self-organising complex systems; social systems; system-to-system level; trust based adaptivity algorithms; trust-adaptive agents; trusted communities; trusted desktop grid; Adaptation models; Adaptive systems; Communities; Computational modeling; Computer architecture; Grid computing; Robustness; Adaptation; Agent architecture; Cooperative systems; Desktop grid; Grid Computing; Multi-agent system; Organic Computing; Trust;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Self-Adaptive and Self-Organizing Systems Workshops (SASOW), 2011 Fifth IEEE Conference on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
978-1-4577-2029-1
Type :
conf
DOI :
10.1109/SASOW.2011.28
Filename :
6114569
Link To Document :
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