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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/44505

Title: Cost Minimization of Virtual Machine Allocation in Public Clouds Considering Multiple Applications
Author(s): Entrialgo Castaño, Joaquín
Díaz de Arriba, José Luis
García Martínez, Javier
García Vázquez, Manuel
García Martínez, Daniel Fernando
Keywords: Cloud computing
Cost optimization
Virtual Machine Allocation
Issue date: 2017
Publisher version: http://dx.doi.org/10.1007/978-3-319-68066-8_12
Citation: Economics of Grids, Clouds, Systems and services, p. 147-161 (2017); doi:10.1007/978-3-319-68066-8_12
Series/Report no.: Lecture Notes in Computer Science, 10537
Format extent: p. 147-161
Abstract: 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
Description: International Conference, GECON 2017 (14. 2017. Biarritz)
URI: http://hdl.handle.net/10651/44505
ISBN: 978-3-319-68065-1
Sponsored: This work was supported by the Spanish National Plan for Research, Development and Innovation [Project MINECO-15-TIN2014-56047-P].
Project id.: MINECO-15-TIN2014-56047-P
Appears in Collections:Ponencias, Discursos y Conferencias
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