|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 175 - Number 32
|Year of Publication: 2020
|Authors: Raphael Gomes, Geovany Rodrigues, Gilberto Lobo
Raphael Gomes, Geovany Rodrigues, Gilberto Lobo . A Cloud Service Broker for Cost Effective Infrastructure Selection using Multiple Deployment Options. International Journal of Computer Applications. 175, 32 ( Nov 2020), 1-8. DOI=10.5120/ijca2020920874
The multiplicity of cloud service providers and the wide variety of resources types and regions makes selecting services a challenging task, which becomes even more complex when considering different cloud deployment models to meet the applications’ specifics that will use these resources. For this, among the criteria used in selecting cloud resources, the cost is rated one of the most essential. Given this, this paper presents a cloud service broker’s design and implementation for resource selection, taking into account different options, including the variation of cloud service providers, regions, and cloud deployment models. The proposed tool is based on other contributions that are also described in this work: 1) the design and construction of an ontology with concepts on the representation of computing resources, with associated reasoning processes; and 2) an on-premises infrastructure cost estimation strategy using a Total Cost of Ownership analysis. A qualitative evaluation considering productivity and accuracy is also presented, demonstrating the advantages of the proposed tool over other existing options.