Abstract
The mobilization of heterogeneous distributed resources and the allocation of resources to user-tasks are still challenges in distributed computing. In this paper, we propose a knowledge-based agent to solve the problem of resources mobilization and allocation taking into account the continuous changing of resources conditions. The agent model we propose is mainly based on ontological models representing basic collaborative environment entities, rules, inference engines, and object oriented components for resources data processing.We suggest mechanisms to handle the discovered resources in terms of updating, filtering, ranking, and allocation.
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© 2014 Springer International Publishing Switzerland
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Nageba, E., Barhamgi, M., Fayn, J. (2014). Knowledge-Based Agent for Efficient Allocation of Distributed Resources. In: Zavoral, F., Jung, J., Badica, C. (eds) Intelligent Distributed Computing VII. Studies in Computational Intelligence, vol 511. Springer, Cham. https://doi.org/10.1007/978-3-319-01571-2_21
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DOI: https://doi.org/10.1007/978-3-319-01571-2_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01570-5
Online ISBN: 978-3-319-01571-2
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