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Dynamic provisioning and reconfiguration of services based on Virtual Network Functions are demonstrated through a CDN example. Interaction of CASTOR Monitoring and Data Analytics platform with Open Source MANO, ONOS and Net2Plan is exhibited. OverviewIn view of the requirements associated to 5G networks, the control, orchestration and management (COM) system of metro networks needs to support dynamic service provisioning involving IT and networking resources. A common trend is to design such service and resource orchestration systems by adopting, extending and building on top of frameworks that follow Software Defined Networking (SDN) and Network Function Virtualization (NFV) principles. While SDN encourages control plane and data plane separation bringing network programmability and enabling an application layer, Network Function Virtualization (NFV) focuses on replacing dedicated network appliances with software implementations running on common shared hardware, becoming Virtualized Network Functions (VNF). The ETSI NFV architecture defines the NFV Infrastructure (NFVI) deployed across multiple points of presence (NFVI-PoP) supporting the instantiation of Virtual Machines (VM), along with the Management and Orchestration (MANO) subsystem dealing with the orchestration of VNFs and their deployment as components of the so-called NFV Network Services (NS).Nonetheless, to achieve true autonomic NFV NSs, SDN control and NFV management need to be augmented with data-driven decision-making, using advanced monitoring and machine learning (ML) tools, feeding control and orchestration planes. The architecture is developed in the framework of the METRO-HAUL EU project and includes CASTOR [1], a monitoring and data analytics (MDA) framework that collates monitoring data records from network and NFVI-PoPs and contains ML algorithms to enable making ML-driven decisions to trigger actions, essentially connecting data-driven automation with policy-based orchestration and management planes.This demonstration, based on our previous work in [2], focuses on an illustrative autonomic NFV network service use case where the application manager runs on top of the control and management plane; a virtualized Content Delivery Network (CDN) service is able to autonomously adapt to the load by requesting the instantiation of new VMs in selected leaf cache nodes, as well as by incrementing the capacity of the network connecting users with the caches. CDN autonomous decisions made using optimization techniques, are enabled by data analytics techniques applied on monitoring data collected from the MDA controller. Control, Management and Orchestration SystemThe COM architecture (Fig. 1a) consists of four main building blocks for i) the control and orchestration of the network, ii) managing the computing and storage infrastructure, iii) NFV, and iv) monitoring and data analytics.Since transport networks are increasingly segmented in domains, to enhance scalability, our COM system over-arches control adopting hierarchical architectures with a p...
Dynamic provisioning and reconfiguration of services based on Virtual Network Functions are demonstrated through a CDN example. Interaction of CASTOR Monitoring and Data Analytics platform with Open Source MANO, ONOS and Net2Plan is exhibited. OverviewIn view of the requirements associated to 5G networks, the control, orchestration and management (COM) system of metro networks needs to support dynamic service provisioning involving IT and networking resources. A common trend is to design such service and resource orchestration systems by adopting, extending and building on top of frameworks that follow Software Defined Networking (SDN) and Network Function Virtualization (NFV) principles. While SDN encourages control plane and data plane separation bringing network programmability and enabling an application layer, Network Function Virtualization (NFV) focuses on replacing dedicated network appliances with software implementations running on common shared hardware, becoming Virtualized Network Functions (VNF). The ETSI NFV architecture defines the NFV Infrastructure (NFVI) deployed across multiple points of presence (NFVI-PoP) supporting the instantiation of Virtual Machines (VM), along with the Management and Orchestration (MANO) subsystem dealing with the orchestration of VNFs and their deployment as components of the so-called NFV Network Services (NS).Nonetheless, to achieve true autonomic NFV NSs, SDN control and NFV management need to be augmented with data-driven decision-making, using advanced monitoring and machine learning (ML) tools, feeding control and orchestration planes. The architecture is developed in the framework of the METRO-HAUL EU project and includes CASTOR [1], a monitoring and data analytics (MDA) framework that collates monitoring data records from network and NFVI-PoPs and contains ML algorithms to enable making ML-driven decisions to trigger actions, essentially connecting data-driven automation with policy-based orchestration and management planes.This demonstration, based on our previous work in [2], focuses on an illustrative autonomic NFV network service use case where the application manager runs on top of the control and management plane; a virtualized Content Delivery Network (CDN) service is able to autonomously adapt to the load by requesting the instantiation of new VMs in selected leaf cache nodes, as well as by incrementing the capacity of the network connecting users with the caches. CDN autonomous decisions made using optimization techniques, are enabled by data analytics techniques applied on monitoring data collected from the MDA controller. Control, Management and Orchestration SystemThe COM architecture (Fig. 1a) consists of four main building blocks for i) the control and orchestration of the network, ii) managing the computing and storage infrastructure, iii) NFV, and iv) monitoring and data analytics.Since transport networks are increasingly segmented in domains, to enhance scalability, our COM system over-arches control adopting hierarchical architectures with a p...
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