Title: A Queueing Network Model for Performance Prediction of Apache Cassandra
Type Dataset Dipietro Salvatore, Casale Giuliano, Serazzi Giuseppe (2016): A Queueing Network Model for Performance Prediction of Apache Cassandra. Zenodo. Dataset. https://zenodo.org/record/153836
Links
- Item record in Zenodo
- Digital object URL
Summary
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
More information
- DOI: 10.5281/zenodo.153836
Subjects
- NoSQL database, Apache Cassandra, queueing network model, simulation
Dates
- Publication date: 2016
- Issued: September 16, 2016
Notes
Other: This 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).Rights
- https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
- info:eu-repo/semantics/openAccess Open Access
Funding Information
Awardnumber | Awarduri | Funderidentifier | Funderidentifiertype | Fundername |
---|---|---|---|---|
644869 | info:eu-repo/grantAgreement/EC/H2020/644869/ | 10.13039/100010661 | Crossref Funder ID | European Commission |
Format
electronic resource
Relateditems
Description | Item type | Relationship | Uri |
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IsPartOf | https://zenodo.org/communities/ecfunded | ||
IsPartOf | https://zenodo.org/communities/zenodo |