Name
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. |
Year | Venue | Field |
|---|---|---|
2017 | IJCC | Resource management,Cloud computing resource allocation,Virtual machine,Software deployment,Computer science,Resource allocation,Cloud computing,Distributed computing |
DocType | Volume | Issue |
Journal | 6 | 3 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabio López Pires | 1 | 72 | 5.81 |
| Benjamín Barán | 2 | 572 | 47.27 |