Threshold Based Auto Scaling of Virtual Machines in Cloud Environment

Abstract : Cost effectiveness is one of the reasons behind the popularity of Cloud. By effective resource utilization cost can be further reduced and resource wastage can be minimized. The application requirement may vary over time depending on many factors (for instance load on the application); user may run different types of application (a simple MS word to complex HPC application) in a VM. In such cases if the VM instance capacity is fixed there is a high possibility of mismatch between the VM capacity and application resource requirement. If the VM capacity is more than the application resource requirement then resource will be wasted; if the VM capacity is less than the application resource requirement then the application performance will degrade. To address these issues we are proposing threshold based auto scaling of virtual machines in which VMs will be dynamically scaled based on the application resource utilization (CPU and Memory). Using our approach effective resource utilization can be achieved.
Type de document :
Communication dans un congrès
Ching-Hsien Hsu; Xuanhua Shi; Valentina Salapura. 11th IFIP International Conference on Network and Parallel Computing (NPC), Sep 2014, Ilan, Taiwan. Springer, Lecture Notes in Computer Science, LNCS-8707, pp.247-256, 2014, Network and Parallel Computing. 〈10.1007/978-3-662-44917-2_21〉
Liste complète des métadonnées

Littérature citée [4 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01403090
Contributeur : Hal Ifip <>
Soumis le : vendredi 25 novembre 2016 - 14:31:43
Dernière modification le : vendredi 1 décembre 2017 - 01:10:06
Document(s) archivé(s) le : lundi 27 mars 2017 - 09:21:21

Fichier

978-3-662-44917-2_21_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

M. Mohan Murthy, H. Sanjay, Jumnal Anand. Threshold Based Auto Scaling of Virtual Machines in Cloud Environment. Ching-Hsien Hsu; Xuanhua Shi; Valentina Salapura. 11th IFIP International Conference on Network and Parallel Computing (NPC), Sep 2014, Ilan, Taiwan. Springer, Lecture Notes in Computer Science, LNCS-8707, pp.247-256, 2014, Network and Parallel Computing. 〈10.1007/978-3-662-44917-2_21〉. 〈hal-01403090〉

Partager

Métriques

Consultations de la notice

371

Téléchargements de fichiers

220