Romanian Journal of Information Technology and Automatic Control / Vol. 33, No. 2, 2023

Telepulse: A Novel Scalable Serverless Framework for Vehicle Telematics using Microsoft Azure Cloud Service

Prabavathy BALASUNDARAM, Vishnu K. KRISHNAN, Vrishin VIGNESHWAR, Suraj JAIN

Abstract:

Fleet management is a series of processes that allows fleet owners to see and manage all information associated with their vehicles. Fleet management usually deals with a high volume of data being received and processed every second. This data can be the engine’s fuel value, the current speed of the vehicle or the GPS location to name a few. Collectively, this type of data is called telemetry data. From this telemetry data, the fleet owners can derive timely and meaningful insights such as monitoring vehicle health, location and behaviour of anomalous drivers. These insights are essential for optimal and reliable business decision-making. The fleet management problem has been well-researched over the past decade, and most of the solutions proposed involve one or more types of ELT or ETL pipelines. They are usually purely server-based solutions. The main drawback of most of the solutions is that they increase the investment costs significantly. Therefore, this research aims to propose and build a Telepulse Framework which is cost-efficient, serverless solution for the fleet management problem with high development speed.

Keywords:
Vehicle telematics, Serverless Computing, Fleet management, AWS Services, Azure Services

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CITE THIS PAPER AS:
Prabavathy BALASUNDARAM, Vishnu K. KRISHNAN, Vrishin VIGNESHWAR, Suraj JAIN, "Telepulse: A Novel Scalable Serverless Framework for Vehicle Telematics using Microsoft Azure Cloud Service", Romanian Journal of Information Technology and Automatic Control, ISSN 1220-1758, vol. 33(2), pp. 23-34, 2023. https://doi.org/10.33436/v33i2y202302