Stateful migration has emerged as the dominant technology to support microservice mobility at the network edge while meeting the end users’ QoE requirements. In this context, our work addresses the two pivotal challenges of implementing and orchestrating the migration process. We first introduce a novel orchestration framework that efficiently realizes stateful migration and effectively orchestrates the migration process by fulfilling both network and application KPI targets. Then, through experimental validation using realistic microservices, we show that our solution improves migration performance, yielding up to 80% decrease of the migration downtime with respect to the state of the art. Finally, we demonstrate that our framework can be exploited to successfully address critical scenarios featuring latency-sensitive microservices and strict user QoE requirements.
Design and Implementation of Microservice Migration at the Edge / Yu, YEN-CHIA; Calagna, Antonio; Giaccone, Paolo; Chiasserini, Carla Fabiana. - ELETTRONICO. - (2024). (Intervento presentato al convegno IEEE WCNC 2024 tenutosi a Dubai (United Arab Emirates) nel April 2024).
Design and Implementation of Microservice Migration at the Edge
Yenchia Yu;Antonio Calagna;Paolo Giaccone;Carla Fabiana Chiasserini
2024
Abstract
Stateful migration has emerged as the dominant technology to support microservice mobility at the network edge while meeting the end users’ QoE requirements. In this context, our work addresses the two pivotal challenges of implementing and orchestrating the migration process. We first introduce a novel orchestration framework that efficiently realizes stateful migration and effectively orchestrates the migration process by fulfilling both network and application KPI targets. Then, through experimental validation using realistic microservices, we show that our solution improves migration performance, yielding up to 80% decrease of the migration downtime with respect to the state of the art. Finally, we demonstrate that our framework can be exploited to successfully address critical scenarios featuring latency-sensitive microservices and strict user QoE requirements.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2984710