Solozabal Ochoa de Retana, Ruben
Publications
Design of Virtual Infrastructure Manager with novel VNF placement features for edge clouds in 5G
Ruben Solozabal, Bego Blanco, Jose Oscar Fajardo, Ianire Taboada, Fidel Liberal, Elisa Jimeno, and Javier G. Lloreda
UPV/EHU, ATOS Spain
Engineering Applications of Neural Networks. EANN 2017. Communications in Computer and Information Science, vol 744.
02 August 2017
Engineering Applications of Neural Networks. EANN 2017. Communications in Computer and Information Science, vol 744.
02 August 2017
ABSTRACT
This paper focuses on multi-tenant 5G networks with virtualization and mobile edge computing capabilities, in the scope of cloud-enabled small cell deployments. In this context, the work here presented deals with the service management and orchestration challenges that arise when handling service mapping on the multi-tenant distributed cloud-enabled radio access network architecture. For that aim, once analysed cloud edge services management and 5G network instantiation in the OpenStack platform, we modify the provided virtual infrastructure manager so as to incorporate virtual network function placement features of the SESAME environment. As main contributions, we adapt the OpenStack application instances to 5G Network Service instantiation, and we include an energy-aware and latency-constrained placement solution.
This paper focuses on multi-tenant 5G networks with virtualization and mobile edge computing capabilities, in the scope of cloud-enabled small cell deployments. In this context, the work here presented deals with the service management and orchestration challenges that arise when handling service mapping on the multi-tenant distributed cloud-enabled radio access network architecture. For that aim, once analysed cloud edge services management and 5G network instantiation in the OpenStack platform, we modify the provided virtual infrastructure manager so as to incorporate virtual network function placement features of the SESAME environment. As main contributions, we adapt the OpenStack application instances to 5G Network Service instantiation, and we include an energy-aware and latency-constrained placement solution.
Conference Papers
Quality of Service(QoS) oriented management system in 5G cloud enabled RAN
Ruben Solozabal, Jose Oscar Fajardo, Bego Blanco, Fidel Liberal
XIII Jornadas de Ingeniería Telemática (JITEL 2017), II Workshop QoS y QoE en Comunicación Multimedia (III QQCM 2017)
Valencia, Spain
27-29 Septiembre 2017
Valencia, Spain
27-29 Septiembre 2017
ABSTRACT
This paper analyzes different techniques to implement Quality of service (QoS) on multi-tenant 5G networks. Describes the architecture of the next generation mobile network based on cloud-enabled small cell deployments and also proposes an hybrid-cloud solution coexisting with centralized cloud RAN (C-RAN), in order to achieve a gradual implementation of the technology. In this context, the work here presented deals with the challenges of preserving the quality of experience in a multi-tenant cloud enable RAN bearing in mind the Key Performance Indicator (KPI) agreed in the Service Level Agreement (SLA). To achieve this goal, QoS should be managed at different levels of the architecture. Feedback should be given between learning modules in order to analyze the results and infer enhanced decision rules which may conclude in an architecture replacement.
This paper analyzes different techniques to implement Quality of service (QoS) on multi-tenant 5G networks. Describes the architecture of the next generation mobile network based on cloud-enabled small cell deployments and also proposes an hybrid-cloud solution coexisting with centralized cloud RAN (C-RAN), in order to achieve a gradual implementation of the technology. In this context, the work here presented deals with the challenges of preserving the quality of experience in a multi-tenant cloud enable RAN bearing in mind the Key Performance Indicator (KPI) agreed in the Service Level Agreement (SLA). To achieve this goal, QoS should be managed at different levels of the architecture. Feedback should be given between learning modules in order to analyze the results and infer enhanced decision rules which may conclude in an architecture replacement.
Design of Virtual Infrastructure Manager with novel VNF placement features for edge clouds in 5G
Ruben Solozabal, Bego Blanco, Jose Oscar Fajardo, Ianire Taboada, Fidel Liberal, Elisa Jimeno, and Javier G. Lloreda
UPV/EHU, ATOS Spain
18th International Conference on Engineering Applications of Neural Networks (EANN 2017), 5G - Putting Intelligence to the Network Edge (5G-PINE 2017)
Athens, Greece
25-27 August 2017
18th International Conference on Engineering Applications of Neural Networks (EANN 2017), 5G - Putting Intelligence to the Network Edge (5G-PINE 2017)
Athens, Greece
25-27 August 2017
ABSTRACT
This paper focuses on multi-tenant 5G networks with virtualization and mobile edge computing capabilities, in the scope of cloud-enabled small cell deployments. In this context, the work here presented deals with the service management and orchestration challenges that arise when handling service mapping on the multi-tenant distributed cloud-enabled radio access network architecture. For that aim, once analysed cloud edge services management and 5G network instantiation in the OpenStack platform, we modify the provided virtual infrastructure manager so as to incorporate virtual network function placement features of the SESAME environment. As main contributions, we adapt the OpenStack application instances to 5G Network Service instantiation, and we include an energy-aware and latency-constrained placement solution.
This paper focuses on multi-tenant 5G networks with virtualization and mobile edge computing capabilities, in the scope of cloud-enabled small cell deployments. In this context, the work here presented deals with the service management and orchestration challenges that arise when handling service mapping on the multi-tenant distributed cloud-enabled radio access network architecture. For that aim, once analysed cloud edge services management and 5G network instantiation in the OpenStack platform, we modify the provided virtual infrastructure manager so as to incorporate virtual network function placement features of the SESAME environment. As main contributions, we adapt the OpenStack application instances to 5G Network Service instantiation, and we include an energy-aware and latency-constrained placement solution.