Monitoring Platform Evolution towards Serverless Computing for 5G and Beyond Systems

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Show simple item record Pérez Hernández, Ramón Benedetti, Priscilla Pergolesi, Matteo García Reinoso, Jaime José Zabala Orive, Aitor Serrano Yáñez-Mingot, Pablo Femminella, Mauro Reali, Gianluca Steenhaut, Kris Banchs Roca, Albert 2022-03-03T11:07:28Z 2022-03-03T11:07:28Z 2022-02-10
dc.identifier.bibliographicCitation Pérez, Ramón, et al. Monitoring Platform Evolution towards Serverless Computing for 5G and Beyond Systems. In: IEEE Transactions on Network and Service Management, 19(2), June 2022, Pp. 1489-1504
dc.identifier.issn 1932-4537
dc.description.abstract Fifth generation (5G) and beyond systems require flexible and efficient monitoring platforms to guarantee optimal key performance indicators (KPIs) in various scenarios. Their applicability in Edge computing environments requires lightweight monitoring solutions. This work evaluates different candidate technologies to implement a monitoring platform for 5G and beyond systems in these environments. For monitoring data plane technologies, we evaluate different virtualization technologies, including bare metal servers, virtual machines, and orchestrated containers. We show that containers not only offer superior flexibility and deployment agility, but also allow obtaining better throughput and latency. In addition, we explore the suitability of the Function-as-a-Service (FaaS) serverless paradigm for deploying the functions used to manage the monitoring platform. This is motivated by the event oriented nature of those functions, designed to set up the monitoring infrastructure for newly created services. When the FaaS warm start mode is used, the platform gives users the perception of resources that are always available. When a cold start mode is used, containers running the application"s modules are automatically destroyed when the application is not in use. Our analysis compares both of them with the standard deployment of microservices. The experimental results show that the cold start mode produces a significant latency increase, along with potential instabilities. For this reason, its usage is not recommended despite the potential savings of computing resources. Conversely, when the warm start mode is used for executing configuration tasks of monitoring infrastructure, it can provide similar execution times to a microservice-based deployment. In addition, the FaaS approach significantly simplifies the code logic in comparison with microservices, reducing lines of code to less than 38%, thus reducing development time. Thus, FaaS in warm start mode represents the best candidate technology to implements such management functions.
dc.description.sponsorship This work has been supported by EC H2020 5GPPP projects 5G-EVE and 5GROWTH under grant agreements No. 815974 and 856709, respectively.
dc.format.extent 16
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2021 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See for more information.
dc.subject.other 5G networks
dc.subject.other Monitoring and data collection
dc.subject.other Serverless computing
dc.subject.other FaaS
dc.subject.other Performance comparison
dc.title Monitoring Platform Evolution towards Serverless Computing for 5G and Beyond Systems
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/815974
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/856709
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationfirstpage 1489
dc.identifier.publicationissue 2
dc.identifier.publicationlastpage 16
dc.identifier.publicationlastpage 1504
dc.identifier.publicationtitle IEEE Transactions on Network and Service Management
dc.identifier.publicationvolume 19
dc.identifier.uxxi AR/0000030303
dc.contributor.funder European Commission
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