Linking Virtual Machine Mobility to User Mobility - Sorbonne Université
Article Dans Une Revue IEEE Transactions on Network and Service Management Année : 2016

Linking Virtual Machine Mobility to User Mobility

Stefano Secci
Connectez-vous pour contacter l'auteur
Patrick Raad
  • Fonction : Auteur
  • PersonId : 971446
Pascal Gallard
  • Fonction : Auteur
  • PersonId : 962488

Résumé

Cloud applications heavily rely on the network communication infrastructure, whose stability and latency directly affect the quality of experience. As mobile devices need to rapidly retrieve data from the cloud, it becomes an extremely important goal to deliver the lowest possible access latency at the best reliability. In this paper, we specify a cloud access overlay protocol architecture to improve the cloud access performance in distributed data-center (DC) cloud fabrics. We explore how linking virtual machine (VM) mobility and routing to user mobility can compensate performance decrease due to increased user-cloud network distance, by building an online cloud scheduling solution to optimally switch VM routing locators and to relocate VMs across DC sites, as a function of user-DC overlay network states. We evaluate our solution: 1) on a real distributed DC testbed spanning all of France, showing that we can grant a very high transfer time gain and 2) by emulating the situation of Internet service providers (ISPs) and over-the-top (OTT) cloud providers, exploiting thousands of real France-wide user displacement traces, finding a median throughput gain from 30% for OTT scenarii to 40% for ISP scenarii, the large majority of this gain being granted by adaptive VM mobility.
Fichier principal
Vignette du fichier
Secci_2016_Linking_Virtual.pdf (7.31 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01345678 , version 1 (06-02-2017)

Identifiants

Citer

Stefano Secci, Patrick Raad, Pascal Gallard. Linking Virtual Machine Mobility to User Mobility. IEEE Transactions on Network and Service Management, 2016, 13 (4), pp.927-940. ⟨10.1109/TNSM.2016.2592241⟩. ⟨hal-01345678⟩
288 Consultations
402 Téléchargements

Altmetric

Partager

More