004 Datenverarbeitung; Informatik
Refine
Has Fulltext
- yes (1)
Is part of the Bibliography
- no (1)
Year of publication
- 2023 (1)
Document Type
- Working Paper (1)
Language
- English (1)
Keywords
- federated learning (1) (remove)
Institute
- Institut für Informatik (1) (remove)
Service orchestration requires enormous attention and is a struggle nowadays. Of course, virtualization provides a base level of abstraction for services to be deployable on a lot of infrastructures. With container virtualization, the trend to migrate applications to a micro-services level in order to be executable in Fog and Edge Computing environments increases manageability and maintenance efforts rapidly. Similarly, network virtualization adds effort to calibrate IP flows for Software-Defined Networks and eventually route it by means of Network Function Virtualization. Nevertheless, there are concepts like MAPE-K to support micro-service distribution in next-generation cloud and network environments. We want to explore, how a service distribution can be improved by adopting machine learning concepts for infrastructure or service changes. Therefore, we show how federated machine learning is integrated into a cloud-to-fog-continuum without burdening single nodes.