Leveraging Scale-Up Machines for Swift DBMS Replication on IaaS Platforms Using BalenaDB

In infrastructure-as-a-service platforms, cloud users can adjust their database (DB) service scale to dynamic workloads by changing the number of virtual machines running a DB management system (DBMS), called DBMS instances. Replicating instance is non-trivial task since replication time-consuming due trend that vendors offer high-spec This paper presents BalenaDB, which performs urgent for handling sudden workload increases. Unlike convectional schemes implicitly assume replicas are generated on remote machines, BalenaDB generates warmed-up replica an local machine where master runs, leveraging resources. We prototyped MySQL 5.6.21, Linux 3.17.2, and Xen 4.4.1. The experimental results show time generating up 30× shorter than existing scheme, achieving significantly efficient memory utilization.