Show simple item record

dc.contributor.authorFossati, Francesca
HAL ID: 182098
ORCID: 0000-0003-3598-9472
dc.contributor.authorMoretti, Stefano
HAL ID: 739814
ORCID: 0000-0003-3627-3257
dc.contributor.authorRovedakis, Stephane
HAL ID: 171189
dc.contributor.authorSecci, Stefano
HAL ID: 5055
ORCID: 0000-0002-6129-0676
dc.date.accessioned2020-07-02T09:37:43Z
dc.date.available2020-07-02T09:37:43Z
dc.date.issued2020
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/20908
dc.language.isoenen
dc.subjectnetworked systems
dc.subject.ddc004en
dc.titleDecentralization of 5G slice resource allocation
dc.typeCommunication / Conférence
dc.description.abstractenThe 5G infrastructure brings a key novelty in networked systems design that is a new resource provisioning entity, the so-called "network slice". A network slice is meant to serve end-to-end services as a composition of different network and system resources as the radio, the link and a variety of computing resources (CPU, RAM, storage), generally each managed by a distinct decision-maker (platform, provider, orchestrator or controller). Naturally, centralized slice orchestration approaches have been proposed, where a multi-domain orchestrator allocates the resources, using a multi-resource allocation rule. Nonetheless, while simplifying the algorithmic approach, centralization can come at the expense of scalability and performance. In this paper, we propose new ways to decentralize the slice resource allocation problem, using cascade or parallel resource allocations. We provide an exhaustive analysis of the advantages and disadvantages of the different approaches together with a numerical analysis in a realistic environment.
dc.relation.ispartoftitleIEEE/IFIP Network Operations and Management Symposium (NOMS)
dc.relation.ispartofpublnameIEEE - Institute of Electrical and Electronics Engineers
dc.relation.ispartofpublcityPiscataway, NJ
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-02501918
dc.subject.ddclabelInformatique généraleen
dc.relation.ispartofisbn978-1-7281-4973-8
dc.relation.conftitleIEEE/IFIP Network Operations and Management Symposium (NOMS 2020)
dc.relation.confdate2020
dc.relation.confcountryHUNGARY
dc.relation.forthcomingnonen
dc.identifier.doi10.1109/NOMS47738.2020.9110391
dc.description.ssrncandidatenon
dc.description.halcandidatenon
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2020-12-17T08:40:34Z


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record