Abstract
Smart cars, with the emergence of the Internet of Vehicles (IoV), are expected to generate huge volumes of data at rates that typical data management systems will not be able to handle. Such data can be extremely useful to both analytics and machine learning applications. This paper discusses and demonstrates the process of architecting and building a scalable data management system for the IoV in a smart city environment, using Apache Spark, Apache Kafka and Apache Cassandra, which results in a scalable, resilient and fault-Tolerant data management system that facilitates performing big data analytics and scalable machine learning on IoV data.
| Original language | English |
|---|---|
| Title of host publication | NILES 2019 - Novel Intelligent and Leading Emerging Sciences Conference |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 9-12 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781728131733 |
| DOIs | |
| Publication status | Published - Oct 2019 |
| Externally published | Yes |
| Event | 2019 Novel Intelligent and Leading Emerging Sciences Conference, NILES 2019 - Giza, Egypt Duration: Oct 28 2019 → Oct 30 2019 |
Publication series
| Name | NILES 2019 - Novel Intelligent and Leading Emerging Sciences Conference |
|---|
Conference
| Conference | 2019 Novel Intelligent and Leading Emerging Sciences Conference, NILES 2019 |
|---|---|
| Country/Territory | Egypt |
| City | Giza |
| Period | 10/28/19 → 10/30/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 11 Sustainable Cities and Communities
Keywords
- big data analytics
- IoV
- scalable machine learning
- smart city environment
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing
- Industrial and Manufacturing Engineering
- Control and Optimization
- Health Informatics
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