Change search
ReferencesLink to record
Permanent link

Direct link
Object serialization vs relational data modelling in Apache Cassandra: a performance evaluation
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Context. In newer database solutions designed for large-scale, cloud-based services, database performance is of particular concern as these services face scalability challenges due to I/O bottlenecks. These issues can be alleviated through various data model optimizations that reduce I/O loads. Object serialization is one such approach.

Objectives. This study investigates the performance of serialization using the Apache Avro library in the Cassandra database. Two different serialized data models are compared with a traditional relational database model.

Methods. This study uses an experimental approach that compares read and write latency using Twitter data in JSON format.

Results. Avro serialization is found to improve performance. However, the extent of the performance benefit is found to be highly dependent on the serialization granularity defined by the data model.

Conclusions. The study concludes that developers seeking to improve database throughput in Cassandra through serialization should prioritize data model optimization as serialization by itself will not outperform relational modelling in all use cases. The study also recommends that further work is done to investigate additional use cases, as there are potential performance issues with serialization that are not covered in this study.

Place, publisher, year, edition, pages
2015. , 38 p.
Keyword [en]
Distributed systems organizing principles, information storage technologies, data structures and algorithms for data management
National Category
Computer Science
URN: urn:nbn:se:bth-10391OAI: diva2:839521
External cooperation
Telefonaktiebolaget L. M. Ericsson
Subject / course
DV1478 Bachelor Thesis in Computer Science
Educational program
DVGDS Computer and System Science
Available from: 2015-08-05 Created: 2015-07-02 Last updated: 2015-08-05Bibliographically approved

Open Access in DiVA

fulltext(914 kB)210 downloads
File information
File name FULLTEXT02.pdfFile size 914 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Department of Computer Science and Engineering
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 210 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 536 hits
ReferencesLink to record
Permanent link

Direct link