Time Machine: Projecting the Digital Assets onto the Future Simulation Environment

Olvera, José Antonio; Rosa, Josep Lluís de la

doi:10.1007/978-3-319-18944-4_15

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…In the last few years, the TECNIO Centre EASY has been developing a software tool for environment simulation of Multi-Agent Systems (MASs), the Simulation Time Machine (TiM) [44]. Initially conceived of as a simulated environment for running a wide number of agent-based ecosystems, today, it is being iterated to a simulation environment platform for DP studies for the SPDOs.…”

Section: Simulation Time Machine For Dp Studiesmentioning

confidence: 99%

Analysis of Nature-Inspired Algorithms for Long-Term Digital Preservation

El-Fakdi

Rosa

2021

Mathematics

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Digital preservation is a research area devoted to keeping digital assets preserved and usable for many years. Out of the many approaches to digital preservation, the present research article follows a new object-centered digital preservation paradigm where digital objects share part of the responsibility for preservation: they can move, replicate, and evolve to a higher-quality format inside a digital ecosystem. In the new framework, the behavior of digital objects needs to be modeled in order to obtain the best preservation strategy. Thus, digital objects are programmed with the mission of their own long-term self-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 upgrades. Three nature-inspired computational intelligence algorithms, based on the collective behavior of decentralized and self-organized systems, were selected for the modeling approach: multipopulation genetic algorithm, ant colony optimization, and a virus-based algorithm. TiM, a simulated environment for running distributed digital ecosystems, was used to perform the experiments. The results map the relation between the models and the expected object diversity obtained in short- and mid-term digital preservation scenarios. Comparing the results, the best performance corresponded to the multipopulation genetic algorithm. The article aims to be a first step in the digital self-preservation field. Building nature-inspired model behaviors is a good approach and opens the door to future tests with other AI-based methods.

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Section: Simulation Time Machine For Dp Studiesmentioning

confidence: 99%

Analysis of Nature-Inspired Algorithms for Long-Term Digital Preservation

El-Fakdi

Rosa

2021

Mathematics

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“…The Simulation Time Machine (TiM) [51] is a software tool developed at the TECNIO Centre EASY research group of the University of Girona for simulation of multi-agent systems (MAS) behaviors. Initially conceived as a simulated environment for running a wide number of agent-based ecosystems, today it has evolved to a simulation platform for DP studies in SPDO contexts.…”

Section: Auction Simulator For Dp Studiesmentioning

confidence: 99%

Evaluating Auction Mechanisms for the Preservation of Cost-Aware Digital Objects under Constrained Digital Preservation Budgets

El-Fakdi

Rosa

2021

Mathematics

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Digital preservation is a field of research focused on designing strategies for maintaining digital objects accessible for general use in the coming years. Out of the many approaches to digital preservation, the present research article is a continuation work of a previously published article containing a proposal for a novel object-centered paradigm to address the digital preservation problem where digital objects share part of the responsibility for self-preservation. In the new framework, the behavior of digital objects is modeled to find the best preservation strategy. The results presented in the current article add a new economic constraint to the object behavior. Now, differently from the previous paper, migrations, copies and updates are not free to use, but subject to budget limitations to ensure the economic sustainability of the whole preservation system, forcing the now-called cost-aware digital objects for efficient management of available budget. The presented approach compares two auction-based mechanisms, a multi-unit auction and a combinatorial auction, with a simple direct purchase strategy as possible efficient behaviors for budget management. TiM, a simulated environment for running distributed digital ecosystems, is used to perform the experiments. The simulated results map the relation between the studied purchase models with the sustained quality level of digital objects, as a measure of its accessibility, together with its budget management capabilities. About the results, the best performance corresponds to the combinatorial auction model. The results are a good approach to deal with the digital preservation problem from a sustainable point of view and open the door to future implementations with other purchase strategies.

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On Value Preservation with Distributed Ledger Technologies, Intelligent Agents, and Digital Preservation

Rosa

2019

Advances in Intelligent Systems and Computing

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Time Machine: Projecting the Digital Assets onto the Future Simulation Environment

Cited by 3 publications

References 6 publications

Analysis of Nature-Inspired Algorithms for Long-Term Digital Preservation

Analysis of Nature-Inspired Algorithms for Long-Term Digital Preservation

Evaluating Auction Mechanisms for the Preservation of Cost-Aware Digital Objects under Constrained Digital Preservation Budgets

On Value Preservation with Distributed Ledger Technologies, Intelligent Agents, and Digital Preservation

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