Scalable for Cloud-native Transport SDN Controller Using GNPy and Machine Learning techniques for QoT estimation

被引：0
|
作者：
Manso, Carlos [1 ]
Vilalta, Ricard [1 ]
Munoz, Raul [1 ]
Casellas, Ramon [1 ]
Martinez, Ricardo [1 ]
机构：
[1] Ctr Tecnol Telecomunicac Catalunya CTTC CERCA, Castelldefels, Spain
来源：
2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) | 2021年
基金：
欧盟地平线“2020”;
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This demo shows a cloud-native SDN controller that can estimate end-to-end QoT using both analytical (GNPy) and machine learning algorithms on WDM systems. This transport SDN controller is able to scale horizontally using custom metrics. (c) 2021 The Author(s)
引用
收藏
页数：3
相关论文
共 50 条
  • [1] First Scalable Machine Learning Based Architecture for Cloud-native Transport SDN Controller
    Manso, Carlos
    Yoshikane, Noboru
    Vilalta, Ricard
    Munoz, Raul
    Casellas, Ramon
    Martinez, Ricardo
    Wang, Cen
    Balasis, Filippos
    Tsuritani, Takehiro
    Morita, Itsuro
    2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC), 2021,
  • [2] Scalability analysis of machine learning QoT estimators for a cloud-native SDN controller on a WDM over SDM network
    Manso, C.
    Vilalta, R.
    Munoz, R.
    Yoshikane, N.
    Casellas, R.
    Martinez, R.
    Wang, C.
    Balasis, F.
    Tsuritani, T.
    Morita, I
    JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2022, 14 (04) : 257 - 266
  • [3] Enabling traffic forecasting with cloud-native SDN controller in transport networks
    Adanza D.
    Gifre L.
    Alemany P.
    Fernández-Palacios J.-P.
    González-de-Dios O.
    Muñoz R.
    Vilalta R.
    Computer Networks, 2024, 250
  • [4] Cloud-native SDN Controller Based on Micro-Services for Transport Networks
    Manso, Carlos
    Vilalta, Ricard
    Casellas, Ramon
    Martinez, Ricardo
    Munoz, Raul
    PROCEEDINGS OF THE 2020 6TH IEEE CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2020): BRIDGING THE GAP BETWEEN AI AND NETWORK SOFTWARIZATION, 2020, : 365 - 367
  • [5] Proactive Autoscaling for Cloud-Native Applications using Machine Learning
    Marie-Magdelaine, Nicolas
    Ahmed, Toufik
    2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2020,
  • [6] Telemetry-enabled Cloud-native Transport SDN Controller for Real-time Monitoring of Optical Transponders Using gNMI
    Vilalta, R.
    Manso, C.
    Yoshikane, N.
    Munoz, R.
    Casellas, R.
    Martinez, R.
    Tsuritani, T.
    Morita, I
    2020 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATIONS (ECOC), 2020,
  • [7] Machine Learning based Interference Modelling in Cloud-Native Applications
    Baluta, Alexandru
    Mukherjee, Joydeep
    Litoiu, Marin
    PROCEEDINGS OF THE 2022 ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING (ICPE '22), 2022, : 125 - 132
  • [8] QoT Estimation for Unestablished Lighpaths using Machine Learning
    Barletta, Luca
    Giusti, Alessandro
    Rottondi, Cristina
    Tornatore, Massimo
    2017 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC), 2017,
  • [9] A Holistic Approach to Data Access for Cloud-Native Analytics and Machine Learning
    Koutsovasilis, Panos
    Venugopal, Srikumar
    Gkoufas, Yiannis
    Pinto, Christian
    2021 IEEE 14TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD 2021), 2021, : 654 - 659
  • [10] Demonstration of Zero-touch Device and L3-VPN Service Management using the TeraFlow Cloud-native SDN Controller
    Gifre, Ll
    Natalino, C.
    Gonzalez-Diaz, S.
    Soldatos, F.
    Barguil, S.
    Aslanoglou, C.
    Moreno-Muro, F. J.
    Quispe Cornelio, A. N.
    Cepeda, L.
    Martinez, R.
    Manso, C.
    Apostolopoulos, V
    Valiviita, S. Petteri
    Gonzalez de Dios, O.
    Rodriguez, J.
    Casellas, R.
    Monti, P.
    Katsikas, G. P.
    Munoz, R.
    Vilalta, R.
    2022 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC), 2022,
12345