Abstract
In the policy-based network management, the local policy decision point (LPDP), is used to reach a local decision. This partial decision and the original policy request are next sent to the PDP which renders a final decision. In this paper, we propose to give a real autonomy to the LPDP in term of internal decision and configuration. The LPDP is considered as a learning BDI agent that autonomously adapts the router’s behavior to environment changes
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© 2005 International Federation for Information Processing
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Krief, F., Bouthinon, D. (2005). A Learning and Intentional Local Policy Decision Point for Dynamic QoS Provisioning. In: Gaïti, D., Galmés, S., Puigjaner, R. (eds) Network Control and Engineering for QoS, Security and Mobility, III. NetCon 2004. IFIP International Federation for Information Processing, vol 165. Springer, Boston, MA. https://doi.org/10.1007/0-387-23198-6_21
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DOI: https://doi.org/10.1007/0-387-23198-6_21
Publisher Name: Springer, Boston, MA
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