UMA VISÃO TUTORIAL DOS MODELOS DE ALOCAÇÃO DE BANDA (BAM – BANDWIDHT ALLOCATION MODELS) COMO MECANISMO DE PROVISIONAMENTO DE RECURSOS EM REDES IP/MPLS/DS-TE

Bandwidth Allocation Models (BAMs) were initially conceived as a support element defining rules and limits for resource allocation (bandwidth) for Traffic Classes (TCs) in IP/MPLS/DS-TE networks. BAMs evolved on its basic purpose to deploy rules and limits for TC resources focusing on IP networks. As such, distinct BAM models and solutions were developed such as MAM (Maximum Allocation Model), RDM (Russian Dolls Model), AllocTCSharing e GBAM (Generalized BAM). Another important, relevant and interesting aspect of BAM evolution is its ability to be applied on new contexts like optical networks resource allocation, cloud computing resource provisioning and support to neutrality evaluation in telephony networks. Beyond that, BAMs have been applied and researched as a basic tool and support to optimization, reconfiguration and deployment of management systems with autonomic characteristics. Considering then this large scope and research interest involved, this paper presents a tutorial vision of the BAMs focusing specifically on resource provisioning for IP/MPLS/DS-TE networks. The paper presents sequentially the concepts around BAM, starting from basic IP needs and following with MPLS, DS-TE and Traffic Engineering related aspects.  Following that, the most relevant BAMs are introduced and discussed. Finally, a simulation is presented exploring the dynamic switching of BAM models towards parameters reconfiguration and optimization like utilization, preemption and blocking among others.Os Modelos de Alocação de Banda (BAM – Bandwidth Allocation Models) foram concebidos inicialmente de forma a suportar a implantação de regras e limites de utilização de recursos como banda para Classes de Tráfego (TCs) em Redes IP/MPLS/DS-TE. Os BAM evoluíram inicialmente na sua proposta básica de implantar regras e limites de utilização de banda focando exclusivamente no contexto de Redes IP. Em efeito, entre os BAM mais citados e pesquisados na literatura, destacam-se as opções MAM (Maximum Allocation Model), RDM (Russian Dolls Model), AllocTCSharing e GBAM (Generalized BAM). Outro aspecto relevante, evolutivo e interessante dos BAM demonstrado na literatura é a sua aplicabilidade em outros contextos como na alocação de recursos para redes ópticas, provisionamento de recursos em nuvem e suporte à avaliação de neutralidade em redes de telefonia. Além disso, os BAM também tem sido pesquisados como mecanismo de suporte para a otimização, reconfiguração e implantação de soluções com características autonômicas em redes IP. Diante desta abrangência e possibilidades de aplicações, este artigo propõe uma visão tutorial dos Modelos de Alocação de Banda com um foco específico no provisionamento de recursos em Redes IP. Isso de forma a apoiar não somente a pesquisa como também a curva de aprendizado de pesquisadores e desenvolvedores interessados na temática. O artigo apresenta de forma sequencial e tutorial os conceitos envolvidos com os BAM. Apresenta-se desde os conceitos mais básicos do IP, passando pelo MPLS, DS-TE e Engenharia de Tráfego. Em seguida, os BAM mais relevantes são apresentados e discutidos, complementando com uma simulação onde se explora a utilização dinâmica dos BAM de forma a configurar e/ou otimizar parâmetros de operação de rede tais como utilização, bloqueio e preempção, dentre outros

Squatting and kicking model evaluation for prioritized sliced resource management

© Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/Effective management and allocation of resources remains a challenging paradigm for future large-scale networks such as 5G, especially under a network slicing scenario where the different services will be characterized by differing Quality of Service (QoS) requirements. This makes the task of guaranteeing the QoS levels and maximizing the resource utilization across such networks a complicated task. Moreover, the existing allocation strategies with link sharing tend to suffer from inefficient network resource usage. Therefore, we focused on prioritized sliced resource management in this work and the contributions of this paper can be summarized as formally defining and evaluating a self-provisioned resource management scheme through a smart Squatting and Kicking model (SKM) for multi-class networks. SKM provides the ability to dynamically allocate network resources such as bandwidth, Label Switched Paths (LSP), fiber, slots among others to different user priority classes. Also, SKM can guarantee the correct level of QoS (especially for the higher priority classes) while optimizing the resource utilization across networks. Moreover, given the network slicing scenarios, the proposed scheme can be employed for admission control. Simulation results show that our model achieves 100% resource utilization in bandwidth-constrained environments while guaranteeing higher admission ratio for higher priority classes. From the results, SKM provided 100% acceptance ratio for highest priority class under different input traffic volumes, which, as we articulate, cannot be sufficiently achieved by other existing schemes such as AllocTC-Sharing model due to priority constraints.Peer ReviewedPostprint (author's final draft