Title: Cloud computing resource allocation taxonomies
Authors: Fabio López-Pires; Benjamín Barán
Itaipu Technological Park, Itaipu Hydroelectric Power Plant, Hernandarias, Paraguay; National University of Asunción, University Campus, San Lorenzo, Paraguay
National University of Asunción, University Campus, San Lorenzo, Paraguay
Abstract: Cloud computing datacentres dynamically provide millions of virtual machines in actual cloud computing markets. Several challenging problems have to be addressed towards an efficient resource management of these cloud-computing infrastructures. In the context of resource allocation, virtual machine placement (VMP) is one of the most studied problems with several possible formulations and a large number of existing optimisation criteria, considering solutions with high economical and ecological impact. Based on systematic reviews of the VMP literature, this work presents novel taxonomies in order to: 1) understand different possible environments where a VMP problem could be studied from both provider and broker perspectives in different deployment architectures; 2) identify existing approaches for the formulation and resolution of the VMP as an optimisation problem; 3) present a detailed view of the VMP problem, identifying research opportunities to further advance in this area.
Keywords: resource allocation; virtual machine placement; cloud computing; cloud brokerage; cloud infrastructure; optimisation; datacentres; taxonomy.
Int. J. of Cloud Computing, 2017 Vol.6, No.3, pp.238 - 264
Date of acceptance: 03 Feb 2017
Available online: 07 Sep 2017