Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/128648
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Type: Journal article
Title: An automated implementation of hybrid cloud for performance evaluation of distributed databases
Author: Mansouri, Y.
Prokhorenko, V.
Babar, M.A.
Citation: Journal of Network and Computer Applications, 2020; 167:102740-1-102740-14
Publisher: Elsevier
Issue Date: 2020
ISSN: 1084-8045
1095-8592
Statement of
Responsibility: 
Yaser Mansouri, Victor Prokhorenko, M. Ali Babar
Abstract: A Hybrid cloud is an integration of resources between private and public clouds. It enables users to horizontally scale their on-premises infrastructure up to public clouds in order to improve performance and cut up-front investment cost. This model of applications deployment is called cloud bursting that allows data-intensive applications especially distributed database systems to have the benefit of both private and public clouds. In this work, we present an automated implementation of a hybrid cloud using (i) a robust and zero-cost Linux-based VPN to make a secure connection between private and public clouds, and (ii) Terraform as a software tool to deploy infrastructure resources based on the requirements of hybrid cloud. We also explore performance evaluation of cloud bursting for six modern and distributed database systems on the hybrid cloud spanning over local OpenStack and Microsoft Azure. Our results reveal that MongoDB and MySQL Cluster work efficient in terms of throughput and operations latency if they burst into a public cloud to supply their resources. In contrast, the performance of Cassandra, Riak, Redis, and Couchdb reduces if they significantly leverage their required resources via cloud bursting.
Keywords: Hybrid cloud; Cloud bursting; Distributed databases; WireGuard VPN; Throughput; Read and write latency
Description: Available online 12 June 2020
Rights: © 2020 Elsevier Ltd. All rights reserved.
DOI: 10.1016/j.jnca.2020.102740
Appears in Collections:Aurora harvest 4
Computer Science publications

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