[en] This article introduces the formulation of the VirtualMachine
Planning Problem in cloud computing systems. It deals with the efficient
allocation of a set of virtual machine requests from customers into
the available pre-booked resources the broker has in a number of cloud
providers, maximizing the broker profit. Eight list scheduling heuristics
are proposed to solve the problem, by taking into account different criteria
for mapping request to available virtual machines. The experimental
evaluation analyzes the profit, makespan, and flowtime results of the
proposed methods over a set of 400 problem instances that account for
realistic workloads and scenarios using real data from cloud providers.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
nesmachnow, sergio
iturriaga, santiago
dorronsoro, bernabe
El-Ghazali, Talbi
BOUVRY, Pascal ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
List scheduling heuristics for virtual machine mapping in cloud systems
Date de publication/diffusion :
2013
Nom de la manifestation :
VI Latin American Symposium on High Performance Computing (HPCLatam)
Date de la manifestation :
June 2013
Manifestation à portée :
International
Titre de l'ouvrage principal :
VI Latin American Symposium on High Performance Computing (HPCLatam)
