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Use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10651/44505

Título : Cost Minimization of Virtual Machine Allocation in Public Clouds Considering Multiple Applications
Autor(es) y otros: Entrialgo Castaño, Joaquín
Díaz de Arriba, José Luis
García Martínez, Javier
García Vázquez, Manuel
García Martínez, Daniel Fernando
Palabras clave: Cloud computing
Cost optimization
Virtual Machine Allocation
Multi-application
Fecha de publicación : 2017
Versión del editor: http://dx.doi.org/10.1007/978-3-319-68066-8_12
Citación : Economics of Grids, Clouds, Systems and services, p. 147-161 (2017); doi:10.1007/978-3-319-68066-8_12
Serie : Lecture Notes in Computer Science, 10537
Descripción física: p. 147-161
Resumen : This paper presents a virtual machine (VM) allocation strategy to optimize the cost of VM deployments in public clouds. It can simultaneously deal with multiple applications and it is formulated as an optimization problem that takes the level of performance to be reached by a set of applications as inputs. It considers real characteristics of infrastructure providers such as VM types, limits on the number VMs that can be deployed, and pricing schemes. As output, it generates a VM allocation to support the performance requirements of all the applications. The strategy combines short-term and long-term allocation phases in order to take advantage of VMs belonging to two different pricing categories: on-demand and reserved. A quantization technique is introduced to reduce the size of the allocation problem and, thus, significantly decrease the computational complexity. The experiments show that the strategy can optimize costs for problems that could not be solved with previous approaches
Descripción : International Conference, GECON 2017 (14. 2017. Biarritz)
URI : http://hdl.handle.net/10651/44505
ISBN : 978-3-319-68065-1
978-3-319-68066-8
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