Abstract | ||
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In this paper we present the Time Machine (TiM), an environment that simulates the digital assets onto the future and allows studying what self-preservation behaviors need the digital objects. This is based in computation intelligence and related methods of cost management under their own budget, powered by a social network as an environment that enables their behavior under the policy that preservation is to share. This approach contributes to achieve the following digital preservation requirements: adaption to unexpected situations, scalability, and efficient cost management, through an agent-based simulation. The key differentiation feature of TiM is that digital objects become active actors in their long term digital preservation, which has a digital preservation budget devoted to funding the replication of the objects and other operations such as format migration or finding a safe storage within a social network of users; in all, an environment where they will live. Its design considerations and implementation details are presented and, finally an example to illustrate some of the functionalities of the simulator. |
Year | DOI | Venue |
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2015 | 10.1007/978-3-319-18944-4_15 | ADVANCES IN PRACTICAL APPLICATIONS OF AGENTS, MULTI-AGENT SYSTEMS, AND SUSTAINABILITY |
Keywords | Field | DocType |
Multi-agent system,Simulation,Digital preservation,Computational intelligence | Digital preservation,Social network,Computational intelligence,Simulation,Computer science,Multi-agent system,Cost accounting,Scalability,Distributed computing,Computation | Conference |
Volume | ISSN | Citations |
9086 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 8 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
José Antonio Olvera | 1 | 4 | 2.19 |
Josep Lluís De La Rosa | 2 | 260 | 41.38 |