Mathematical Programming Approach for Revenue Maximization in Cloud Federations

Makhlouf Hadji; Djamal Zeghlache

doi:10.1109/TCC.2015.2402674

Mathematical Programming Approach for Revenue Maximization in Cloud Federations

Makhlouf Hadji
, Djamal Zeghlache

IRT SystemX
Institut Mines-Télécom

Résultats de recherche: Contribution à un journal › Article › Revue par des pairs

Résumé

This paper assesses the benefits of cloud federation for cloud providers. Outsourcing and insourcing are explored as means to maximize the revenues of the providers involved in the federation. An exact method using a linear integer program is proposed to optimize the partitioning of the incoming workload across the federation members. A pricing model is suggested to enable providers to set their offers dynamically and achieve highest revenues. The conditions leading to highest gains are identified and the benefits of cloud federation are quantified.

langue originale	Anglais
Pages (de - à)	99-111
Nombre de pages	13
journal	IEEE Transactions on Cloud Computing
Volume	5
Numéro de publication	1
Les DOIs	https://doi.org/10.1109/TCC.2015.2402674
état	Publié - 1 janv. 2017
Modification externe	Oui

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10.1109/TCC.2015.2402674

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abstract = "This paper assesses the benefits of cloud federation for cloud providers. Outsourcing and insourcing are explored as means to maximize the revenues of the providers involved in the federation. An exact method using a linear integer program is proposed to optimize the partitioning of the incoming workload across the federation members. A pricing model is suggested to enable providers to set their offers dynamically and achieve highest revenues. The conditions leading to highest gains are identified and the benefits of cloud federation are quantified.",

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Mathematical Programming Approach for Revenue Maximization in Cloud Federations

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