Towards Elastic Multi-Tenant Database Replication with Quality of Service

Abstract

Database systems serving cloud platforms must handle a large number of applications or tenants. Multi-tenancy database has been prevalent for hosting multiple tenants within a single DBMS while enabling effective resource sharing. Providing such performance goals is challenging for providers as they must balance the performance that they can deliver to tenants and the operating costs. In such database systems, a key functionality for service providers is database replication, which is useful for availability, performance, elasticity, and quality of service. This paper presents RepliC, an approach to database replication in the cloud with quality of service, elasticity, and support tomulti-tenancy. In order to evaluate RepliC, some experiments that measure the quality of service and elasticity are presented. Our experiment results confirm that RepliC ensures the quality of service with small SLA violations, while using resources efficiently.