Software Defined Storage Implementation Model to Data Centers
Andy Reyes Vargas1, Alex Pacheco Pumaleque2, Enrique Condor Tinoco3, Marco de la Cruz Rocca4
1Andy Reyes Vargas*, IT Department, Open Nova IT Consulting, Lima, Peru.
2Alex Pacheco Pumaleque, Professional School of Systems Engineering, National University of Cañete, Lima, Peru.
3Enrique Condor Tinoco, Academic Department of Engineering and Computer Technology, Jose Maria Arguedas National University, Andahuaylas, Peru.
4Marco de la Cruz Rocca, Professional School of Systems and Computer Engineering, Daniel Alcides Carrion National University, Cerro de Pasco, Peru.
Manuscript received on April 09, 2020. | Revised Manuscript received on April 19, 2020. | Manuscript published on May 30, 2020. | PP: 300-303 | Volume-9 Issue-1, May 2020. | Retrieval Number: A1689059120/2020©BEIESP | DOI: 10.35940/ijrte.A1689.059120
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This research focuses on deliver a SDS implementation model that facilitate the definition of requirements to be delivered in a timely manner to systems. Software Defined Storage (SDS) enables different hardware technologies to be homogenized and deliver independent storage. The technologies included on the implementation model are the open-source projects Red Hat Gluster Storage and Red Hat Ceph Storage. Both technologies are integrated into a virtualization platform, it is compared at a functional and economic level with respect to some enterprise solutions and it is shown that the same operations are performed as a viable technological alternative. The favorable results of the model are presented and the great benefit that open-source technologies have open scope that allows it to be integrated into other projects is presented.
Keywords: Software Defined Storage, Implementation Model, Virtualization, Gluster, Ceph, Technological Alternative, Open-Source.
Scope of the Article: Data Analytics