loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Melyssa Barata 1 and Jorge Bernardino 2

Affiliations: 1 Polytechnic of Coimbra, Portugal ; 2 University of Coimbra, Portugal

Keyword(s): Performance, Scalability, NoSQL, Cassandra.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Database Architecture and Performance ; Databases and Data Security ; Nosql Databases ; Open Source Databases

Abstract: In the past, relational databases were the most commonly used technology for storing and retrieving data, allowing easier management and retrieval of any stored information organized as a set of tables. However, today databases are larger in size and the query execution time can become very long, requiring servers with bigger capacities. The purpose of this paper is to describe and analyze the Cassandra NoSQL database using the Yahoo! Cloud Serving Benchmark in order to better understand the execution capabilities for various types of applications in environments with different amounts of stored data. The experiments with Cassandra show good scalability and performance results and how the database size and number of nodes affect it.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.205.67.119

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Barata, M. and Bernardino, J. (2016). Cassandra’s Performance and Scalability Evaluation. In Proceedings of the 5th International Conference on Data Management Technologies and Applications - DATA; ISBN 978-989-758-193-9; ISSN 2184-285X, SciTePress, pages 127-134. DOI: 10.5220/0005980101270134

@conference{data16,
author={Melyssa Barata. and Jorge Bernardino.},
title={Cassandra’s Performance and Scalability Evaluation},
booktitle={Proceedings of the 5th International Conference on Data Management Technologies and Applications - DATA},
year={2016},
pages={127-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005980101270134},
isbn={978-989-758-193-9},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Data Management Technologies and Applications - DATA
TI - Cassandra’s Performance and Scalability Evaluation
SN - 978-989-758-193-9
IS - 2184-285X
AU - Barata, M.
AU - Bernardino, J.
PY - 2016
SP - 127
EP - 134
DO - 10.5220/0005980101270134
PB - SciTePress