Cost-efficient algorithms for critical resource allocation in cloud federations

Makhlouf Hadji; Benjamin Aupetit; Djamal Zeghlache

doi:10.1109/CloudNet.2016.11

Cost-efficient algorithms for critical resource allocation in cloud federations

Makhlouf Hadji ¹ Benjamin Aupetit ¹ Djamal Zeghlache ^{2, 3, 4}

1 IRT SystemX - IRT SystemX

2 R3S-SAMOVAR - Réseaux, Systèmes, Services, Sécurité

SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux

3 RS2M - Département Réseaux et Services Multimédia Mobiles

4 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux

Abstract : Gomory-Hu based algorithms are proposed to select hosting resources and place services in a multiple providers federation context. The algorithms, use the Gomory-Hu tree, to detect critical nodes and edges in the end user requests to make selection and placement decisions. The algorithms take into account the providers' internal costs and network connectivity costs and hosting costs by the federation members. The algorithms are shown to be scalable and near-optimal through numerical simulations and evaluations

Keywords : Interoperability Optimization Cloud federation Cloud networking Gomory-Hu Tree

Document type :

Conference papers

Domain :

Computer Science [cs] / Networking and Internet Architecture [cs.NI]

Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01471712
Contributor : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School <>
Submitted on : Monday, February 20, 2017 - 11:29:32 AM
Last modification on : Tuesday, January 22, 2019 - 2:32:09 PM

Cost-efficient algorithms for critical resource allocation in cloud federations

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Cost-efficient algorithms for critical resource allocation in cloud federations

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