An Automated Implementation of Hybrid Cloud for Performance Evaluation of Distributed Databases

TL;DR

This paper presents an automated hybrid cloud implementation using VPN and Terraform, evaluating its performance on six distributed databases, showing that some databases benefit from cloud bursting while others do not.

Contribution

It introduces an automated hybrid cloud setup with secure VPN and Terraform deployment, and evaluates performance impacts on multiple distributed databases.

Findings

MongoDB and MySQL Cluster perform well with cloud bursting.

Cassandra, Riak, Redis, and CouchDB show reduced performance with cloud bursting.

Hybrid cloud deployment can improve or impair database performance depending on the system.

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.