A cloud-centric survey on distributed database evaluation
Daniel Seybold, Jörg Domaschka · OPen Access Repositorium der Universität Ulm (OPARU) (Ulm University) · 2017
The database landscape has significantly evolved over the last decade and distributed databases running in the cloud moved into the focus. This evolvement challenges the already non-trivial task of selecting and deploying a distributed database system. Database evaluation frameworks aim at easing this task by guiding the database selection and deployment decision. The evaluation of databases has evolved as well, now considering not only performance evaluation but also distributed database aspects such as scalability or elasticity. This paper presents a classification for distributed database evaluation frameworks based on evaluation tiers and framework requirements with the focus on exploiting cloud computing. The classification is applied for eight well adopted evaluation frameworks. The results points out that the evaluation tiers performance, scalability, elasticity and consistency are well supported, while (cloud) resource selection and availability lack support. Further, the analysed frameworks support common database evaluation requirements in varying extend and lack the support of cloud-centric requirements.