Name
Abstract | ||
|---|---|---|
Cloud Service Brokers (CSBs) may abstract complex resource allocation decisions for efficiently mapping demands of tenants into offers of providers. Nowadays, both demands and offers could be considered in dynamic environments, representing particular challenges in cloud computing markets. This work studies a broker-oriented Virtual Machine Placement (VMP) in dynamic environments such as: (1) variable resource offers and (2) pricing, from providers and (3) dynamic requirements of tenants. A genetic algorithm is proposed for an efficient and scalable resolution of the considered problem. Experimental results demonstrate good quality of solutions obtained by the proposed algorithm when compared to a state-of-the-art Integer Linear Programming (ILP) algorithm. Additionally, experimental results also demonstrate the good level of scalability of the proposed algorithm for large instances of the considered problem. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IC2E.2016.25 | 2016 IEEE International Conference on Cloud Engineering (IC2E) |
Keywords | Field | DocType |
Cloud Computing,Cloud Brokering,Virtual Machine Placement,Optimization,Genetic Algorithm | Virtual machine,Computer science,Integer programming,Resource allocation,Genetic algorithm,Cloud testing,Cloud computing,Scalability,Distributed computing | Conference |
ISSN | Citations | PageRank |
2373-3845 | 0 | 0.34 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lino Chamorro | 1 | 0 | 0.34 |
| Fabio López Pires | 2 | 72 | 5.81 |
| Benjamín Barán | 3 | 572 | 47.27 |