Towards Cognitive Self-Management of IoT-Edge-Cloud Continuum based on User Intents

dc.contributor.author	Song, Hui
dc.contributor.author	Soylu, Ahmet
dc.contributor.author	Roman, Dumitru
dc.date.accessioned	2023-04-17T11:48:21Z
dc.date.available	2023-04-17T11:48:21Z
dc.date.created	2023-03-31T10:39:33Z
dc.date.issued	2022
dc.identifier.citation	2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC). 2022, 313-316.	en_US
dc.identifier.isbn	978-1-6654-6087-3
dc.identifier.uri	https://hdl.handle.net/11250/3063339
dc.description.abstract	Elasticity of the computing continuum with on demand availability allows for automated provisioning and release of computing resources as needed; however, this self management capability is severely limited due to the lack of knowledge on historical and timely resource utilisation and means for stakeholders to express their needs in a high-level manner. In this paper, we introduce and discuss a new concept – intent-based cognitive continuum for sustainable elasticity.	en_US
dc.language.iso	eng	en_US
dc.relation.ispartof	15th IEEE/ACM International Conference on Utility and Cloud Computing
dc.title	Towards Cognitive Self-Management of IoT-Edge-Cloud Continuum based on User Intents	en_US
dc.title.alternative	Towards Cognitive Self-Management of IoT-Edge-Cloud Continuum based on User Intents	en_US
dc.type	Chapter	en_US
dc.description.version	acceptedVersion	en_US
dc.source.pagenumber	313-316	en_US
dc.identifier.doi	10.1109/UCC56403.2022.00055
dc.identifier.cristin	2138790
cristin.ispublished	true
cristin.fulltext	postprint
cristin.qualitycode	1