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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.09159 |
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| _version_ | 1866911020100878336 |
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| author | Calagna, Antonio Yu, Yenchia Giaccone, Paolo Chiasserini, Carla Fabiana |
| author_facet | Calagna, Antonio Yu, Yenchia Giaccone, Paolo Chiasserini, Carla Fabiana |
| contents | Stateful migration has emerged as the dominant technology to support microservice mobility at the network edge while ensuring a satisfying experience to mobile end users. This work addresses two pivotal challenges, namely, the implementation and the orchestration of the migration process. We first introduce a novel framework that efficiently implements stateful migration and effectively orchestrates the migration process by fulfilling both network and application KPI targets. Through experimental validation using realistic microservices, we then show that our solution (i) greatly improves migration performance, yielding up to 77% decrease of the migration downtime with respect to the state of the art, and (ii) successfully addresses the strict user QoE requirements of critical scenarios featuring latency-sensitive microservices. Further, we consider two practical use cases, featuring, respectively, a UAV autopilot microservice and a multi-object tracking task, and demonstrate how our framework outperforms current state-of-the-art approaches in configuring the migration process and in meeting KPI targets. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_09159 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | MOSE: A Novel Orchestration Framework for Stateful Microservice Migration at the Edge Calagna, Antonio Yu, Yenchia Giaccone, Paolo Chiasserini, Carla Fabiana Networking and Internet Architecture Stateful migration has emerged as the dominant technology to support microservice mobility at the network edge while ensuring a satisfying experience to mobile end users. This work addresses two pivotal challenges, namely, the implementation and the orchestration of the migration process. We first introduce a novel framework that efficiently implements stateful migration and effectively orchestrates the migration process by fulfilling both network and application KPI targets. Through experimental validation using realistic microservices, we then show that our solution (i) greatly improves migration performance, yielding up to 77% decrease of the migration downtime with respect to the state of the art, and (ii) successfully addresses the strict user QoE requirements of critical scenarios featuring latency-sensitive microservices. Further, we consider two practical use cases, featuring, respectively, a UAV autopilot microservice and a multi-object tracking task, and demonstrate how our framework outperforms current state-of-the-art approaches in configuring the migration process and in meeting KPI targets. |
| title | MOSE: A Novel Orchestration Framework for Stateful Microservice Migration at the Edge |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2506.09159 |