AE
A.J. Eickhoff
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Benchmarking geo-distributed databases
Evaluation using the DeathStar hotel reservation benchmark
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.
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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.
...
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.
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.