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Article type: Research Article
Authors: Cameron, D.G.a | Carvajal-Schiaffino, R.b | Nicholson, C.c | Stockinger, K.d | Zini, F.e; * | Millar, A.P.c | Serafini, L.e
Affiliations: [a] CERN, European Organisation for Nuclear Research, 1211 Geneva, Switzerland | [b] Universidad de Santiago de Chile, Av. Bernardo O'Higgins 3363, Santiago de Chile, Chile | [c] University of Glasgow, Glasgow, G12 8QQ, Scotland | [d] Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA | [e] ITC-irst, via Sommarive 18, 38050 Povo (Trento), Italy
Correspondence: [*] Corresponding author. Tel.: +39 0461 314 314; Fax: +39 0461 302 040; E-mail: [email protected]
Abstract: In a world-wide computational Grid, users typically want their jobs to be executed as fast as possible, while the goal of a Grid infrastructure is to assure specific quality of service for all users. In order to reconcile these apparently contrasting goals, the authors proposed an economy-based strategy to be used in a Data Grid for efficient access to and distribution of data replicas needed by Grid jobs [20]. The strategy is based on an economic model where data-seeking agents negotiate optimal prices for exchanging data files with data-storing agents. Data-storing agents also try to keep on their Grid sites the most useful files. In previous works, performance of the economic model has been empirically studied via simulations conducted using the Data Grid simulator OptorSim [11,18]. In this paper the problem of efficient access to and distribution of replicas is introduced and the economic model is described. A formalisation of the auction protocol basis of the economic model is then presented and formal proof of some properties (namely, that it is deadlock-free and always terminates) is provided. The auction protocol is modelled using Petri nets, a formal and graphical language that is well suited for modelling concurrent distributed systems.
Keywords: Data Grids, Petri nets, economy-based optimisation, auction protocol, formal analysis
DOI: 10.3233/MGS-2006-2205
Journal: Multiagent and Grid Systems, vol. 2, no. 2, pp. 149-162, 2006
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