Database Systems Performance Evaluation for IoT Applications

 Database Systems Performance Evaluation for IoT Applications

Author Name

Christodoulos Asiminidis1, George Kokkonis2 and Sotirios Kontogiannis1, University of Ioannina, Greece and TEI of Western Macedonia, Greece

Abstract

The amount of data stored in IoT databases increases as the IoT applications extend throughout smart city appliances, industry and agriculture. Contemporary database systems must process huge amounts of sensory and actuator data in real-time or interactively. Facing this first wave of IoT revolution, database vendors struggle day-by-day in order to gain more market share, develop new capabilities and attempt to overcome the disadvantages of previous releases, while providing features for the IoT. There are two popular database types: The Relational Database Management Systems and NoSQL databases, with NoSQL gaining ground on IoT data storage. In the context of this paper these two types are examined. Focusing on open source databases, the authors experiment on IoT data sets and pose an answer to the question which one performs better than the other. It is a comparative study on the performance of the commonly market used open source databases, presenting results for the NoSQL MongoDB database and SQL databases of MySQL and PostgreSQL

Keywords

Database systems performance evaluation, document databases, relational database systems, IoT, IoT Data 

Full Article: https://aircconline.com/ijdms/V10N6/10618ijdms01.pdf

Issue URL : https://airccse.org/journal/ijdms/current2018.html

http://airccse.org/journal/ijdms/index.html

#SemanticWeb #LinkedData #Web3 #DataInteroperability #KnowledgeGraph #Ontology #SemanticTechnology #DataIntegration #MachineLearning #AI #DataScience #DigitalTransformation #OpenData #WebStandards #InformationArchitecture #DataVisualization #SmartData #SemanticSearch #NaturalLanguageProcessing #DataMining #TechInnovation


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