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List scheduling heuristics for virtual machine mapping in cloud systems
nesmachnow, sergio; iturriaga, santiago; dorronsoro, bernabe et al.
2013In VI Latin American Symposium on High Performance Computing (HPCLatam)
Peer reviewed
 

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Keywords :
scheduling; cloud computing
Abstract :
[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 :
Computer science
Author, co-author :
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)
External co-authors :
no
Language :
English
Title :
List scheduling heuristics for virtual machine mapping in cloud systems
Publication date :
2013
Event name :
VI Latin American Symposium on High Performance Computing (HPCLatam)
Event date :
June 2013
Audience :
International
Main work title :
VI Latin American Symposium on High Performance Computing (HPCLatam)
Pages :
37-48
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 20 December 2013

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