Abstract | ||
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Digital preservation is typically perceived as operating at the repository level; however, preservation in fact occurs at the object level, so mechanisms are required to enable preservation management for digital objects. Self-preserving objects represent a new, object-centric paradigm for digital preservation. Here, we present a swarm-inspired model for the behaviours of self-preserving objects with backup and format redundancy that are assigned individual and social behaviours with a mission. The mission of these objects is their long-term preservation, which entails being accessible and reproducible by users at any time in the future regardless of frequent technological changes due to software and hardware vendors' upgrades. Numerous experiments with swarm behaviours are performed taking into account the costs of digital preservation. Run for a series of 3 major shifts in software and hardware generations over 20 years was used to evaluate the resilience of the self-preserving digital objects. Our approach behaves promisingly at the preservation regarding minor rates of yearly software adoption. |
Year | DOI | Venue |
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2012 | 10.3233/978-1-61499-139-7-213 | Frontiers in Artificial Intelligence and Applications |
Keywords | Field | DocType |
Digital preservation,self-preservation,agents,swarm intelligence | Computer vision,Computer science,Artificial intelligence | Conference |
Volume | ISSN | Citations |
248 | 0922-6389 | 3 |
PageRank | References | Authors |
0.80 | 0 | 2 |
Name | Order | Citations | PageRank |
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Josep Lluís De La Rosa | 1 | 260 | 41.38 |
José Antonio Olvera | 2 | 4 | 2.19 |