Reference : List scheduling heuristics for virtual machine mapping in cloud systems
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/13509
List scheduling heuristics for virtual machine mapping in cloud systems
English
nesmachnow, sergio mailto []
iturriaga, santiago mailto []
dorronsoro, bernabe mailto []
El-Ghazali, Talbi mailto []
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
2013
VI Latin American Symposium on High Performance Computing (HPCLatam)
37-48
Yes
No
International
VI Latin American Symposium on High Performance Computing (HPCLatam)
June 2013
[en] scheduling ; cloud computing
[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.
Researchers
http://hdl.handle.net/10993/13509

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