We propose an algorithm for the cloud and bandwidth resource allocation in Multi-Provider NFV environments. The resources are allocated so as to take into account the different costs charged by the cloud Infrastructure Providers (InP). The effectiveness of the proposed algorithm is confirmed from the comparison with the results of the optimal problem. Its application in medium and large networks has shown that it can lead to cost saving as high as 65% with respect to algorithms that allocate resources without taking into account the cost differences charged by the InPs.

Computing and bandwidth resource allocation in multi-provider NFV environment / Eramo, V.; Lavacca, F. G.. - In: IEEE COMMUNICATIONS LETTERS. - ISSN 1089-7798. - STAMPA. - (2018), pp. 1-1. [10.1109/LCOMM.2018.2864101]

Computing and bandwidth resource allocation in multi-provider NFV environment

Eramo, V.
;
Lavacca, F. G.
2018

Abstract

We propose an algorithm for the cloud and bandwidth resource allocation in Multi-Provider NFV environments. The resources are allocated so as to take into account the different costs charged by the cloud Infrastructure Providers (InP). The effectiveness of the proposed algorithm is confirmed from the comparison with the results of the optimal problem. Its application in medium and large networks has shown that it can lead to cost saving as high as 65% with respect to algorithms that allocate resources without taking into account the cost differences charged by the InPs.
2018
bandwidth; bandwidth resources; cloud computing; computing resources; delays; III-V semiconductor materials; indium phosphide; integer linear programming; least cost path; network function virtualization; resource management
01 Pubblicazione su rivista::01a Articolo in rivista
Computing and bandwidth resource allocation in multi-provider NFV environment / Eramo, V.; Lavacca, F. G.. - In: IEEE COMMUNICATIONS LETTERS. - ISSN 1089-7798. - STAMPA. - (2018), pp. 1-1. [10.1109/LCOMM.2018.2864101]
File allegati a questo prodotto
File Dimensione Formato  
Eramo_Computing_2018.pdf

solo gestori archivio

Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 945.12 kB
Formato Adobe PDF
945.12 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1136102
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 29
  • ???jsp.display-item.citation.isi??? 24
social impact