applying autonomy with bandwidth allocation models

• DOI: 10.5281/zenodo.1287913
• Publication Date: 2016-06-09
• Authors: Freitas Reale, Ra...; Martins, Romildo; Martins, Joberto
• Keywords: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]; FOS: Computer and information sciences; Bandwidth Allocation Models; Dynamic Resource Management; BAM Switching; 02 engineering and technology; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; Resource Allocation; Computer Science - Networking and Internet Architecture; [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]; [INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET]; 0202 electrical engineering, electronic engineering, information engineering; Bandwidth Allocation Model; ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation; Networking and Internet Architecture (cs.NI); BAM; [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]; GBAM; ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.3: Network Operations/C.2.3.0: Network management; ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS; [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.3: Network Operations; [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]; [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation

SummaryBandwidth 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 define resource restrictions by ‘class’ and allocate the available resources on demand. This is frequently necessary to manage large and complex systems like routing networks. G‐BAM 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 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's reconfiguration with distinct network traffic scenarios by using G‐BAM. Simulation results suggest that the autonomic switching of ‘BAM behaviors’ based on high‐level management rules (Service Level Agreements, Quality of Service (QoS) or other police) may result in improving overall network management and operational parameters such as link utilization and preemption. Copyright © 2016 John Wiley & Sons, Ltd.