  Bandwidth Allocation Models (BAMs) are resource allocation methods used for
networks in general. BAMs are currently applied for handling resources such as
bandwidth allocation in MPLS DS-TE networks (LSP setup). In general, BAMs
defines resource restrictions by class and allocate the available resources on
demand. This is frequently necessary to manage large and complex systems like
routing networks. GBAM is a new generalized BAM that, by configuration,
incorporates the behavior of existing BAMs (MAM, RDM, G-RDM and
AllocTC-Sharing). In effect, any current available BAM behavior is reproduced
by G-BAM by simply adjusting its configuration parameters. This paper focuses
on investigating the applicability of using autonomy together with Bandwidth
Allocation Models (BAMs) for improve performance and facilitating the
management of MPLS DS-TE networks. It is investigated the applicability of BAM
switching using a framework with autonomic characteristics. In brief, it is
investigated the switching among BAM behaviors and BAM reconfiguration with
distinct network traffic scenarios by using GBAM. Simulation results suggest
that the autonomic switching of BAM behaviors based on high-level management
rules (SLAs, QoS or other police) may result in improving overall network
management and operational parameters such as link utilization and preemption.
