DeathStar Movie for Geo-Distributed Databases
Stressing databases using a movie review site
S.E. van den Houten (TU Delft - Electrical Engineering, Mathematics and Computer Science)
O. Mráz – Mentor (TU Delft - Data-Intensive Systems)
A Katsifodimos – Mentor (TU Delft - Data-Intensive Systems)
KG Langendoen – Graduation committee member (TU Delft - Embedded Systems)
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Abstract
Geo-distributed databases offer the scalability and low latency that contemporary applications demand, but are challenging to implement. It is therefore crucial that they are tested well. Established benchmarks, such as TPC-C and YCSB-T, are limited and do not cover the entire set of workloads that geo-distributed databases are subjected to. In this paper, we discuss the adaptation of DeathStar Movie an existing benchmark for microservice systems for benchmarking these geo-distributed databases. We set up an experiment in which we ran this modified version of the benchmark on four database systems: Detock, SLOG, Calvin, and Janus. The results showed that DeathStar Movie is capable of pushing these systems to their limits. It also showed the different performance characteristics of the systems, stemming from the different ways in which they attempt to overcome the challenges posed by a geo-distributed setting.