Work

Serverless data processing and forecasting system using cloud computing

Year: 2025

Type: article

Abstract: This paper presents a serverless data processing architecture designed for real-time weather forecasting using Google Cloud Functions, BigQuery, and integrated machine learning models. The system enables scalable ingestion of weather data, efficient storage, and dynamic visualization through an interactive dashboard. In addition to predictive analytics for temperature, AQI, and humidity, the system includes cost opti- mization techniques and real-time alerts. This work highlights the benefits of serverless computing for data-intensive applications and offers a practical, low-latency solution suitable for smart city and environmental monitoring use cases.

Source: International Journal of Science and Research Archive

DOI: 10.30574/ijsra.2025.15.2.1394

Authors: Dhananjay Adikane, Dr. Odelu Ojjela

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Climate action, Sustainable cities and communities

Open Access status: hybrid

OpenAlex ID: W4410525733

FWCI:

Cites:

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