A Queueing Network Model For Performance Prediction Of Apache Cassandra

Dataset OPEN
Dipietro Salvatore ; Casale Giuliano ; Serazzi Giuseppe
  • Publisher: Zenodo
  • Related identifiers: doi: 10.5281/zenodo.153836
  • Subject: NoSQL database | Apache Cassandra | queueing network model | simulation

<p>The dataset consists in several csv files containing Cassandra and ScyllaDB performance.</p> <p>The experiments are organized in folders. There are three main folders containing:<br>  - Cassandra 4 nodes: the files related to the Cassandra experiments conducted on a cluster composed of four nodes.<br>  - ScyllaDB 4 nodes: The files related to the ScyllaDB experiments conducted on a cluster composed of four nodes. <br>  - Cassandra QUORUM variant: the simulation data where a different kind of QUORUM is implemented in Cassandra.<br>  <br> "Cassandra 4 nodes" and "ScyllaDB 4 nodes" include some subfolders, each one containing the files of the Consistency Level applied for those experiments. Each experiment is composed by three files (data*.csv) with the data reported by Yahoo! Cloud System Benchmark (YCSB) in the end of the experiment execution. Each folder contains also a sim.csv file with the data gathered from the simulation of the model inside Java Modeling Tool.</p> <p>The data*.csv files are composed by:<br>  -Number of threads or clients<br>  -Overall Throughput<br>  -Number of Read requests<br>  -Overall Read Response Time<br>  -95 percentile Read Response Time<br>  -99 percentile Read Response Time<br>  -99.9 percentile Read Response Time<br>  <br> Differently, the sim.csv files are composed by:<br>  -Number of threads or clients<br>  -Overall Throughput<br>  -Overall Read Response Time</p>
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