As modern applications become more global and resource intensive, geo-distributed databases have become critical for fast, reliable data storage. Evaluating the performance of these databases through traditional benchmarks such as TPC-C and YCSB-T is not sufficient to expose all
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As modern applications become more global and resource intensive, geo-distributed databases have become critical for fast, reliable data storage. Evaluating the performance of these databases through traditional benchmarks such as TPC-C and YCSB-T is not sufficient to expose all characteristics of the database's performance. A deeper analysis of available benchmarks is needed to determine how to effectively asses geo-distributed databases.
In this paper, we present a modified implementation of the DeathStar hotel benchmark fit for relational databases and use it to evaluate several geo-distributed databases, Detock, SLOG, Janus, and Calvin. We then analyze in detail the unique characteristics of the benchmark and the performance of these databases in the context of the benchmark.
