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Issue title: Smart Grid Technologies & Market Models
Guest editors: Daniel J. Veitw, Torsten Eymannx, Nicholas R. Jenningsy and Jörg P. Müllerz
Article type: Research Article
Authors: Patel, Jigara | Teacy, W.T. Lukea | Jennings, Nicholas R.a | Luck, Michaela; * | Chalmers, Stuartb | Oren, Nirb | Norman, Timothy J.b | Preece, Alunb | Gray, Peter M. D.b | Shercliff, Garethc | Stockreisser, Patrick J.c | Shao, Jianhuac | Gray, W. Alexc | Fiddian, Nick J.c | Thompson, Simond
Affiliations: [a] School of Electronics and Computer Science, University of Southampton, UK | [b] Department of Computing Science, University of Aberdeen, UK | [c] School of Computer Science, Cardiff University, UK | [d] BT, Adastral Park, UK | [w] University of Karlsruhe, Information Management and Systems, Germany | [x] University of Bayreuth, Chair for Information Systems, Germany | [y] School of Electronics & Computer Science, University of Southampton, UK | [z] Technical University of Clausthal and Siemens AG Corporate Technology, Germany
Correspondence: [*] Corresponding author: Michael Luck, School of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK. Tel.: +44 23 8059 6657; Fax: +44 23 8059 3313; E-mail: [email protected]
Abstract: The ability to create reliable and scalable virtual organisations (VOs) on demand in a dynamic, open and competitive environment is one of the major challenges that underlie Grid computing. In response, in the CONOISE-G project, we are developing an infrastructure to support robust and resilient virtual organisation formation and operation. Specifically, CONOISE-G provides mechanisms to assure effective operation of agent-based VOs in the face of disruptive and potentially malicious entities in dynamic, open and competitive environments. In this paper, we describe the CONOISE-G system, outline its use in the context of VO formation and perturbation, and review current efforts to progress the work to deal with unreliable information sources.
Keywords: Virtual organisations, policing, trust, quality of service monitoring, agents, Grid
DOI: 10.3233/MGS-2005-1402
Journal: Multiagent and Grid Systems, vol. 1, no. 4, pp. 237-249, 2005
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