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 ![]() | |
iturriaga, santiago ![]() | |
dorronsoro, bernabe ![]() | |
El-Ghazali, Talbi ![]() | |
Bouvry, Pascal ![]() | |
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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