A Queueing Network Model for Performance Prediction of Apache Cassandra
- 1. Imperial College London
- 2. Politecnico di Milano
Description
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 Time
Notes
Files
dataset.zip
Files
(10.2 kB)
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