Cooperative Learning for Disaggregated Delay Modeling in Multidomain Networks
| Autor: | Xiaoliang Chen, Luis Velasco, Che-Yu Liu, Marc Ruiz, S. J. Ben Yoo, Fatemehsadat Tabatabaeimehr, Roberto Proietti |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors, Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques |
| Rok vydání: | 2021 |
| Předmět: |
Load modeling
Monitoring Computer Networks and Communications Computer science end-to-end delay Distributed computing Data models Provisioning Enginyeria de la telecomunicació [Àrees temàtiques de la UPC] Cooperative learning Topology Application layer Domain (software engineering) Service-level agreement Quality of service Control theory Aprenentatge automàtic Probes multidomain networks Network performance Isolation (database systems) Delays Electrical and Electronic Engineering Software-defined networking |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| ISSN: | 2373-7379 |
| DOI: | 10.1109/tnsm.2021.3077736 |
| Popis: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works Accurate delay estimation is one of the enablers of future network connectivity services, as it facilitates the application layer to anticipate network performance. If such connectivity services require isolation (slicing), such delay estimation should not be limited to a maximum value defined in the Service Level Agreement, but to a finer-grained description of the expected delay in the form of, e.g., a continuous function of the load. Obtaining accurate end-to-end (e2e) delay modeling is even more challenging in a multi-operator (Multi-AS) scenario, where the provisioning of e2e connectivity services is provided across heterogeneous multi-operator (Multi-AS or just domains) networks. In this work, we propose a collaborative environment, where each domain Software Defined Networking (SDN) controller models intra-domain delay components of inter-domain paths and share those models with a broker system providing the e2e connectivity services. The broker, in turn, models the delay of inter-domain links based on e2e monitoring and the received intra-domain models. Exhaustive simulation results show that composing e2e models as the summation of intra-domain network and inter-domain link delay models provides many benefits and increasing performance over the models obtained from e2e measurements. The research leading to these results has received funding from the AEI/FEDER TWINS project (TEC2017-90097-R), from the Catalan Institution for Research and Advanced Studies (ICREA), and from US-EU research collaboration initiative funded by the NSF award #ICE-T:RC 1836921. |
| Databáze: | OpenAIRE |
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