A Queueing Network Model for Performance Prediction of Apache Cassandra

The dataset consists in several csv files containing Cassandra and ScyllaDB performance. The experiments are organized in folders. There are three main folders containing: - Cassandra 4 nodes: the files related to the Cassandra experiments conducted on a cluster composed of four nodes. - ScyllaDB 4 nodes: The files related to the ScyllaDB experiments conducted on a cluster composed of four nodes. - Cassandra QUORUM variant: the simulation data where a different kind of QUORUM is implemented in Cassandra. "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. The data*.csv files are composed by: -Number of threads or clients -Overall Throughput -Number of Read requests -Overall Read Response Time -95 percentile Read Response Time -99 percentile Read Response Time -99.9 percentile Read Response Time Differently, the sim.csv files are composed by: -Number of threads or clients -Overall Throughput -Overall Read Response TimeThis is part of the DICE (H2020- 644869) project. This project is supported by EPSRC Centre for Doctoral Training in High Performance Embedded and Distributed Systems(EP/L016796/1)