@inproceedings{
 title = {Design and Tests to Implement Hyperconvergence into a DataCenter: Preliminary Results},
 type = {inproceedings},
 year = {2020},
 keywords = {Availability,Data Center,Hyperconvergence,Proxmox},
 websites = {https://link.springer.com/chapter/10.1007/978-3-030-32022-5_6},
 id = {e8a22fc4-820c-3138-9e0e-38c122f53eba},
 created = {2021-05-10T23:31:47.024Z},
 file_attached = {false},
 profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},
 group_id = {b8c873a2-ed58-396e-b124-8a273665874f},
 last_modified = {2021-05-10T23:31:47.024Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Maya-Olalla2020a},
 private_publication = {false},
 abstract = {Hyperconvergence is a new technological trend that integrates and centralizes the functions of network, storage and computing in a single infrastructure, facilitating the administration, operability and scalability of a Data Center as a whole, benets that do not provide an architecture of traditional network or virtualization-specic technologies. This research based on qualitative and experimental methods suggests a model of Implementation of a HyperConvergent Architecture for the management of the Data Center of the Universidad Técnica del Norte, as a competitive and high-performance Open Source alternative for the integration of physical and virtual components. The suggested deployment model is based on the virtualization platform Proxmox VE, CEPH (Storage Software Platform), vSwitch (network scheme) and KVM (equipment virtualization). It includes a centralized domain and it provides a 99.88% availability rate making it in total harmony with functionalities requiring high availability. The results show the simplicity of the system: efficient execution of all applications, migrations of virtual machines from node to node, inactivity times between 50.3 ms and 53 ms, processing acceleration providing agility to IT operations without forgetting that its implementation and its start-up times are relatively low.},
 bibtype = {inproceedings},
 author = {Maya-Olalla, Edgar and Dominguez-Limaico, Mauricio and Meneses-Narvaez, Santiago and Rosero-Montalvo, Paul D. and Narvaez-Pupiales, Sandra and Zambrano Vizuete, Marcelo and Peluffo-Ordóñez, Diego H.},
 doi = {10.1007/978-3-030-32022-5_6},
 booktitle = {Advances in Intelligent Systems and Computing}
}

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